fmm_pts.txx 134 KB

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  1. /**
  2. * \file fmm_pts.txx
  3. * \author Dhairya Malhotra, dhairya.malhotra@gmail.com
  4. * \date 3-07-2011
  5. * \brief This file contains the implementation of the FMM_Pts class.
  6. */
  7. #include <mpi.h>
  8. #include <set>
  9. #include <sstream>
  10. #include <fft_wrapper.hpp>
  11. #include <mat_utils.hpp>
  12. #ifdef PVFMM_HAVE_SYS_STAT_H
  13. #include <sys/stat.h>
  14. #endif
  15. #ifdef __SSE__
  16. #include <xmmintrin.h>
  17. #endif
  18. #ifdef __SSE3__
  19. #include <pmmintrin.h>
  20. #endif
  21. #ifdef __AVX__
  22. #include <immintrin.h>
  23. #endif
  24. #if defined(__MIC__)
  25. #include <immintrin.h>
  26. #endif
  27. namespace pvfmm{
  28. /**
  29. * \brief Returns the coordinates of points on the surface of a cube.
  30. * \param[in] p Number of points on an edge of the cube is (n+1)
  31. * \param[in] c Coordinates to the centre of the cube (3D array).
  32. * \param[in] alpha Scaling factor for the size of the cube.
  33. * \param[in] depth Depth of the cube in the octree.
  34. * \return Vector with coordinates of points on the surface of the cube in the
  35. * format [x0 y0 z0 x1 y1 z1 .... ].
  36. */
  37. template <class Real_t>
  38. std::vector<Real_t> surface(int p, Real_t* c, Real_t alpha, int depth){
  39. size_t n_=(6*(p-1)*(p-1)+2); //Total number of points.
  40. std::vector<Real_t> coord(n_*3);
  41. coord[0]=coord[1]=coord[2]=-1.0;
  42. size_t cnt=1;
  43. for(int i=0;i<p-1;i++)
  44. for(int j=0;j<p-1;j++){
  45. coord[cnt*3 ]=-1.0;
  46. coord[cnt*3+1]=(2.0*(i+1)-p+1)/(p-1);
  47. coord[cnt*3+2]=(2.0*j-p+1)/(p-1);
  48. cnt++;
  49. }
  50. for(int i=0;i<p-1;i++)
  51. for(int j=0;j<p-1;j++){
  52. coord[cnt*3 ]=(2.0*i-p+1)/(p-1);
  53. coord[cnt*3+1]=-1.0;
  54. coord[cnt*3+2]=(2.0*(j+1)-p+1)/(p-1);
  55. cnt++;
  56. }
  57. for(int i=0;i<p-1;i++)
  58. for(int j=0;j<p-1;j++){
  59. coord[cnt*3 ]=(2.0*(i+1)-p+1)/(p-1);
  60. coord[cnt*3+1]=(2.0*j-p+1)/(p-1);
  61. coord[cnt*3+2]=-1.0;
  62. cnt++;
  63. }
  64. for(size_t i=0;i<(n_/2)*3;i++)
  65. coord[cnt*3+i]=-coord[i];
  66. Real_t r = 0.5*pow(0.5,depth);
  67. Real_t b = alpha*r;
  68. for(size_t i=0;i<n_;i++){
  69. coord[i*3+0]=(coord[i*3+0]+1.0)*b+c[0];
  70. coord[i*3+1]=(coord[i*3+1]+1.0)*b+c[1];
  71. coord[i*3+2]=(coord[i*3+2]+1.0)*b+c[2];
  72. }
  73. return coord;
  74. }
  75. /**
  76. * \brief Returns the coordinates of points on the upward check surface of cube.
  77. * \see surface()
  78. */
  79. template <class Real_t>
  80. std::vector<Real_t> u_check_surf(int p, Real_t* c, int depth){
  81. Real_t r=0.5*pow(0.5,depth);
  82. Real_t coord[3]={c[0]-r*(RAD1-1.0),c[1]-r*(RAD1-1.0),c[2]-r*(RAD1-1.0)};
  83. return surface(p,coord,(Real_t)RAD1,depth);
  84. }
  85. /**
  86. * \brief Returns the coordinates of points on the upward equivalent surface of cube.
  87. * \see surface()
  88. */
  89. template <class Real_t>
  90. std::vector<Real_t> u_equiv_surf(int p, Real_t* c, int depth){
  91. Real_t r=0.5*pow(0.5,depth);
  92. Real_t coord[3]={c[0]-r*(RAD0-1.0),c[1]-r*(RAD0-1.0),c[2]-r*(RAD0-1.0)};
  93. return surface(p,coord,(Real_t)RAD0,depth);
  94. }
  95. /**
  96. * \brief Returns the coordinates of points on the downward check surface of cube.
  97. * \see surface()
  98. */
  99. template <class Real_t>
  100. std::vector<Real_t> d_check_surf(int p, Real_t* c, int depth){
  101. Real_t r=0.5*pow(0.5,depth);
  102. Real_t coord[3]={c[0]-r*(RAD0-1.0),c[1]-r*(RAD0-1.0),c[2]-r*(RAD0-1.0)};
  103. return surface(p,coord,(Real_t)RAD0,depth);
  104. }
  105. /**
  106. * \brief Returns the coordinates of points on the downward equivalent surface of cube.
  107. * \see surface()
  108. */
  109. template <class Real_t>
  110. std::vector<Real_t> d_equiv_surf(int p, Real_t* c, int depth){
  111. Real_t r=0.5*pow(0.5,depth);
  112. Real_t coord[3]={c[0]-r*(RAD1-1.0),c[1]-r*(RAD1-1.0),c[2]-r*(RAD1-1.0)};
  113. return surface(p,coord,(Real_t)RAD1,depth);
  114. }
  115. /**
  116. * \brief Defines the 3D grid for convolution in FFT acceleration of V-list.
  117. * \see surface()
  118. */
  119. template <class Real_t>
  120. std::vector<Real_t> conv_grid(int p, Real_t* c, int depth){
  121. Real_t r=pow(0.5,depth);
  122. Real_t a=r*RAD0;
  123. Real_t coord[3]={c[0],c[1],c[2]};
  124. int n1=p*2;
  125. int n2=(int)pow((Real_t)n1,2);
  126. int n3=(int)pow((Real_t)n1,3);
  127. std::vector<Real_t> grid(n3*3);
  128. for(int i=0;i<n1;i++)
  129. for(int j=0;j<n1;j++)
  130. for(int k=0;k<n1;k++){
  131. grid[(i+n1*j+n2*k)*3+0]=(i-p)*a/(p-1)+coord[0];
  132. grid[(i+n1*j+n2*k)*3+1]=(j-p)*a/(p-1)+coord[1];
  133. grid[(i+n1*j+n2*k)*3+2]=(k-p)*a/(p-1)+coord[2];
  134. }
  135. return grid;
  136. }
  137. template <class Real_t>
  138. void FMM_Data<Real_t>::Clear(){
  139. upward_equiv.Resize(0);
  140. }
  141. template <class Real_t>
  142. PackedData FMM_Data<Real_t>::PackMultipole(void* buff_ptr){
  143. PackedData p0; p0.data=buff_ptr;
  144. p0.length=upward_equiv.Dim()*sizeof(Real_t);
  145. if(p0.length==0) return p0;
  146. if(p0.data==NULL) p0.data=(char*)&upward_equiv[0];
  147. else mem::memcopy(p0.data,&upward_equiv[0],p0.length);
  148. return p0;
  149. }
  150. template <class Real_t>
  151. void FMM_Data<Real_t>::AddMultipole(PackedData p0){
  152. Real_t* data=(Real_t*)p0.data;
  153. size_t n=p0.length/sizeof(Real_t);
  154. assert(upward_equiv.Dim()==n);
  155. Matrix<Real_t> v0(1,n,&upward_equiv[0],false);
  156. Matrix<Real_t> v1(1,n,data,false);
  157. v0+=v1;
  158. }
  159. template <class Real_t>
  160. void FMM_Data<Real_t>::InitMultipole(PackedData p0, bool own_data){
  161. Real_t* data=(Real_t*)p0.data;
  162. size_t n=p0.length/sizeof(Real_t);
  163. if(n==0) return;
  164. if(own_data){
  165. upward_equiv=Vector<Real_t>(n, &data[0], false);
  166. }else{
  167. upward_equiv.ReInit(n, &data[0], false);
  168. }
  169. }
  170. template <class FMMNode>
  171. FMM_Pts<FMMNode>::~FMM_Pts() {
  172. if(mat!=NULL){
  173. // int rank;
  174. // MPI_Comm_rank(comm,&rank);
  175. // if(rank==0) mat->Save2File("Precomp.data");
  176. delete mat;
  177. mat=NULL;
  178. }
  179. if(vprecomp_fft_flag) FFTW_t<Real_t>::fft_destroy_plan(vprecomp_fftplan);
  180. #ifdef __INTEL_OFFLOAD0
  181. #pragma offload target(mic:0)
  182. #endif
  183. {
  184. if(vlist_fft_flag ) FFTW_t<Real_t>::fft_destroy_plan(vlist_fftplan );
  185. if(vlist_ifft_flag) FFTW_t<Real_t>::fft_destroy_plan(vlist_ifftplan);
  186. vlist_fft_flag =false;
  187. vlist_ifft_flag=false;
  188. }
  189. }
  190. template <class FMMNode>
  191. void FMM_Pts<FMMNode>::Initialize(int mult_order, const MPI_Comm& comm_, const Kernel<Real_t>* kernel_, const Kernel<Real_t>* aux_kernel_){
  192. Profile::Tic("InitFMM_Pts",&comm_,true);{
  193. multipole_order=mult_order;
  194. comm=comm_;
  195. kernel=*kernel_;
  196. aux_kernel=*(aux_kernel_?aux_kernel_:kernel_);
  197. assert(kernel.ker_dim[0]==aux_kernel.ker_dim[0]);
  198. mat=new PrecompMat<Real_t>(Homogen(), MAX_DEPTH+1);
  199. if(this->mat_fname.size()==0){
  200. std::stringstream st;
  201. st<<PVFMM_PRECOMP_DATA_PATH;
  202. if(!st.str().size()){ // look in PVFMM_DIR
  203. char* pvfmm_dir = getenv ("PVFMM_DIR");
  204. if(pvfmm_dir) st<<pvfmm_dir<<'/';
  205. }
  206. #ifndef STAT_MACROS_BROKEN
  207. if(st.str().size()){ // check if the path is a directory
  208. struct stat stat_buff;
  209. if(stat(st.str().c_str(), &stat_buff) || !S_ISDIR(stat_buff.st_mode)){
  210. std::cout<<"error: path not found: "<<st.str()<<'\n';
  211. exit(0);
  212. }
  213. }
  214. #endif
  215. st<<"Precomp_"<<kernel.ker_name.c_str()<<"_m"<<mult_order;
  216. if(sizeof(Real_t)==8) st<<"";
  217. else if(sizeof(Real_t)==4) st<<"_f";
  218. else st<<"_t"<<sizeof(Real_t);
  219. st<<".data";
  220. this->mat_fname=st.str();
  221. }
  222. this->mat->LoadFile(mat_fname.c_str(), this->comm);
  223. interac_list.Initialize(COORD_DIM, this->mat);
  224. Profile::Tic("PrecompUC2UE",&comm,false,4);
  225. this->PrecompAll(UC2UE_Type);
  226. Profile::Toc();
  227. Profile::Tic("PrecompDC2DE",&comm,false,4);
  228. this->PrecompAll(DC2DE_Type);
  229. Profile::Toc();
  230. Profile::Tic("PrecompBC",&comm,false,4);
  231. { /*
  232. int type=BC_Type;
  233. for(int l=0;l<MAX_DEPTH;l++)
  234. for(size_t indx=0;indx<this->interac_list.ListCount((Mat_Type)type);indx++){
  235. Matrix<Real_t>& M=this->mat->Mat(l, (Mat_Type)type, indx);
  236. M.Resize(0,0);
  237. } // */
  238. }
  239. this->PrecompAll(BC_Type,0);
  240. Profile::Toc();
  241. Profile::Tic("PrecompU2U",&comm,false,4);
  242. this->PrecompAll(U2U_Type);
  243. Profile::Toc();
  244. Profile::Tic("PrecompD2D",&comm,false,4);
  245. this->PrecompAll(D2D_Type);
  246. Profile::Toc();
  247. Profile::Tic("PrecompV",&comm,false,4);
  248. this->PrecompAll(V_Type);
  249. Profile::Toc();
  250. Profile::Tic("PrecompV1",&comm,false,4);
  251. this->PrecompAll(V1_Type);
  252. Profile::Toc();
  253. }Profile::Toc();
  254. }
  255. template <class FMMNode>
  256. Permutation<typename FMMNode::Real_t>& FMM_Pts<FMMNode>::PrecompPerm(Mat_Type type, Perm_Type perm_indx){
  257. //Check if the matrix already exists.
  258. Permutation<Real_t>& P_ = mat->Perm((Mat_Type)type, perm_indx);
  259. if(P_.Dim()!=0) return P_;
  260. Matrix<size_t> swap_xy(10,9);
  261. Matrix<size_t> swap_xz(10,9);
  262. {
  263. for(int i=0;i<9;i++)
  264. for(int j=0;j<9;j++){
  265. swap_xy[i][j]=j;
  266. swap_xz[i][j]=j;
  267. }
  268. swap_xy[3][0]=1; swap_xy[3][1]=0; swap_xy[3][2]=2;
  269. swap_xz[3][0]=2; swap_xz[3][1]=1; swap_xz[3][2]=0;
  270. swap_xy[6][0]=1; swap_xy[6][1]=0; swap_xy[6][2]=2;
  271. swap_xy[6][3]=4; swap_xy[6][4]=3; swap_xy[6][5]=5;
  272. swap_xz[6][0]=2; swap_xz[6][1]=1; swap_xz[6][2]=0;
  273. swap_xz[6][3]=5; swap_xz[6][4]=4; swap_xz[6][5]=3;
  274. swap_xy[9][0]=4; swap_xy[9][1]=3; swap_xy[9][2]=5;
  275. swap_xy[9][3]=1; swap_xy[9][4]=0; swap_xy[9][5]=2;
  276. swap_xy[9][6]=7; swap_xy[9][7]=6; swap_xy[9][8]=8;
  277. swap_xz[9][0]=8; swap_xz[9][1]=7; swap_xz[9][2]=6;
  278. swap_xz[9][3]=5; swap_xz[9][4]=4; swap_xz[9][5]=3;
  279. swap_xz[9][6]=2; swap_xz[9][7]=1; swap_xz[9][8]=0;
  280. }
  281. //Compute the matrix.
  282. Permutation<Real_t> P;
  283. switch (type){
  284. case UC2UE_Type:
  285. {
  286. break;
  287. }
  288. case DC2DE_Type:
  289. {
  290. break;
  291. }
  292. case S2U_Type:
  293. {
  294. break;
  295. }
  296. case U2U_Type:
  297. {
  298. P=PrecompPerm(D2D_Type, perm_indx);
  299. break;
  300. }
  301. case D2D_Type:
  302. {
  303. Real_t eps=1e-10;
  304. int dof=kernel.ker_dim[0];
  305. size_t p_indx=perm_indx % C_Perm;
  306. Real_t c[3]={-0.5,-0.5,-0.5};
  307. std::vector<Real_t> trg_coord=d_check_surf(this->MultipoleOrder(),c,0);
  308. int n_trg=trg_coord.size()/3;
  309. P=Permutation<Real_t>(n_trg*dof);
  310. if(p_indx==ReflecX || p_indx==ReflecY || p_indx==ReflecZ){
  311. for(int i=0;i<n_trg;i++)
  312. for(int j=0;j<n_trg;j++){
  313. if(fabs(trg_coord[i*3+0]-trg_coord[j*3+0]*(p_indx==ReflecX?-1.0:1.0))<eps)
  314. if(fabs(trg_coord[i*3+1]-trg_coord[j*3+1]*(p_indx==ReflecY?-1.0:1.0))<eps)
  315. if(fabs(trg_coord[i*3+2]-trg_coord[j*3+2]*(p_indx==ReflecZ?-1.0:1.0))<eps){
  316. for(int k=0;k<dof;k++){
  317. P.perm[j*dof+k]=i*dof+k;
  318. }
  319. }
  320. }
  321. if(dof==3) //stokes_vel (and like kernels)
  322. for(int j=0;j<n_trg;j++)
  323. P.scal[j*dof+(int)p_indx]*=-1.0;
  324. }else if(p_indx==SwapXY || p_indx==SwapXZ)
  325. for(int i=0;i<n_trg;i++)
  326. for(int j=0;j<n_trg;j++){
  327. if(fabs(trg_coord[i*3+0]-trg_coord[j*3+(p_indx==SwapXY?1:2)])<eps)
  328. if(fabs(trg_coord[i*3+1]-trg_coord[j*3+(p_indx==SwapXY?0:1)])<eps)
  329. if(fabs(trg_coord[i*3+2]-trg_coord[j*3+(p_indx==SwapXY?2:0)])<eps){
  330. for(int k=0;k<dof;k++){
  331. P.perm[j*dof+k]=i*dof+(p_indx==SwapXY?swap_xy[dof][k]:swap_xz[dof][k]);
  332. }
  333. }
  334. }
  335. break;
  336. }
  337. case D2T_Type:
  338. {
  339. break;
  340. }
  341. case U0_Type:
  342. {
  343. break;
  344. }
  345. case U1_Type:
  346. {
  347. break;
  348. }
  349. case U2_Type:
  350. {
  351. break;
  352. }
  353. case V_Type:
  354. {
  355. break;
  356. }
  357. case V1_Type:
  358. {
  359. break;
  360. }
  361. case W_Type:
  362. {
  363. break;
  364. }
  365. case X_Type:
  366. {
  367. break;
  368. }
  369. case BC_Type:
  370. {
  371. break;
  372. }
  373. default:
  374. break;
  375. }
  376. //Save the matrix for future use.
  377. #pragma omp critical (PRECOMP_MATRIX_PTS)
  378. {
  379. if(P_.Dim()==0) P_=P;
  380. }
  381. return P_;
  382. }
  383. template <class FMMNode>
  384. Matrix<typename FMMNode::Real_t>& FMM_Pts<FMMNode>::Precomp(int level, Mat_Type type, size_t mat_indx){
  385. if(this->Homogen()) level=0;
  386. //Check if the matrix already exists.
  387. Matrix<Real_t>& M_ = this->mat->Mat(level, type, mat_indx);
  388. if(M_.Dim(0)!=0 && M_.Dim(1)!=0) return M_;
  389. else{ //Compute matrix from symmetry class (if possible).
  390. size_t class_indx = this->interac_list.InteracClass(type, mat_indx);
  391. if(class_indx!=mat_indx){
  392. Matrix<Real_t>& M0 = this->Precomp(level, type, class_indx);
  393. Permutation<Real_t>& Pr = this->interac_list.Perm_R(level, type, mat_indx);
  394. Permutation<Real_t>& Pc = this->interac_list.Perm_C(level, type, mat_indx);
  395. if(Pr.Dim()>0 && Pc.Dim()>0 && M0.Dim(0)>0 && M0.Dim(1)>0) return M_;
  396. }
  397. }
  398. //Compute the matrix.
  399. Matrix<Real_t> M;
  400. int* ker_dim=kernel.ker_dim;
  401. int* aux_ker_dim=aux_kernel.ker_dim;
  402. //int omp_p=omp_get_max_threads();
  403. switch (type){
  404. case UC2UE_Type:
  405. {
  406. if(MultipoleOrder()==0) break;
  407. // Coord of upward check surface
  408. Real_t c[3]={0,0,0};
  409. std::vector<Real_t> uc_coord=u_check_surf(MultipoleOrder(),c,level);
  410. size_t n_uc=uc_coord.size()/3;
  411. // Coord of upward equivalent surface
  412. std::vector<Real_t> ue_coord=u_equiv_surf(MultipoleOrder(),c,level);
  413. size_t n_ue=ue_coord.size()/3;
  414. // Evaluate potential at check surface due to equivalent surface.
  415. Matrix<Real_t> M_e2c(n_ue*aux_ker_dim[0],n_uc*aux_ker_dim[1]);
  416. aux_kernel.BuildMatrix(&ue_coord[0], n_ue,
  417. &uc_coord[0], n_uc, &(M_e2c[0][0]));
  418. Real_t eps=1.0;
  419. while(eps+(Real_t)1.0>1.0) eps*=0.5;
  420. M=M_e2c.pinv(sqrt(eps)); //check 2 equivalent
  421. break;
  422. }
  423. case DC2DE_Type:
  424. {
  425. if(MultipoleOrder()==0) break;
  426. // Coord of downward check surface
  427. Real_t c[3]={0,0,0};
  428. std::vector<Real_t> check_surf=d_check_surf(MultipoleOrder(),c,level);
  429. size_t n_ch=check_surf.size()/3;
  430. // Coord of downward equivalent surface
  431. std::vector<Real_t> equiv_surf=d_equiv_surf(MultipoleOrder(),c,level);
  432. size_t n_eq=equiv_surf.size()/3;
  433. // Evaluate potential at check surface due to equivalent surface.
  434. Matrix<Real_t> M_e2c(n_eq*aux_ker_dim[0],n_ch*aux_ker_dim[1]);
  435. aux_kernel.BuildMatrix(&equiv_surf[0], n_eq,
  436. &check_surf[0], n_ch, &(M_e2c[0][0]));
  437. Real_t eps=1.0;
  438. while(eps+(Real_t)1.0>1.0) eps*=0.5;
  439. M=M_e2c.pinv(sqrt(eps)); //check 2 equivalent
  440. break;
  441. }
  442. case S2U_Type:
  443. {
  444. break;
  445. }
  446. case U2U_Type:
  447. {
  448. if(MultipoleOrder()==0) break;
  449. // Coord of upward check surface
  450. Real_t c[3]={0,0,0};
  451. std::vector<Real_t> check_surf=u_check_surf(MultipoleOrder(),c,level);
  452. size_t n_uc=check_surf.size()/3;
  453. // Coord of child's upward equivalent surface
  454. Real_t s=pow(0.5,(level+2));
  455. int* coord=interac_list.RelativeCoord(type,mat_indx);
  456. Real_t child_coord[3]={(coord[0]+1)*s,(coord[1]+1)*s,(coord[2]+1)*s};
  457. std::vector<Real_t> equiv_surf=u_equiv_surf(MultipoleOrder(),child_coord,level+1);
  458. size_t n_ue=equiv_surf.size()/3;
  459. // Evaluate potential at check surface due to equivalent surface.
  460. Matrix<Real_t> M_ce2c(n_ue*aux_ker_dim[0],n_uc*aux_ker_dim[1]);
  461. aux_kernel.BuildMatrix(&equiv_surf[0], n_ue,
  462. &check_surf[0], n_uc, &(M_ce2c[0][0]));
  463. Matrix<Real_t>& M_c2e = Precomp(level, UC2UE_Type, 0);
  464. M=M_ce2c*M_c2e;
  465. break;
  466. }
  467. case D2D_Type:
  468. {
  469. if(MultipoleOrder()==0) break;
  470. // Coord of downward check surface
  471. Real_t s=pow(0.5,level+1);
  472. int* coord=interac_list.RelativeCoord(type,mat_indx);
  473. Real_t c[3]={(coord[0]+1)*s,(coord[1]+1)*s,(coord[2]+1)*s};
  474. std::vector<Real_t> check_surf=d_check_surf(MultipoleOrder(),c,level);
  475. size_t n_dc=check_surf.size()/3;
  476. // Coord of parent's downward equivalent surface
  477. Real_t parent_coord[3]={0,0,0};
  478. std::vector<Real_t> equiv_surf=d_equiv_surf(MultipoleOrder(),parent_coord,level-1);
  479. size_t n_de=equiv_surf.size()/3;
  480. // Evaluate potential at check surface due to equivalent surface.
  481. Matrix<Real_t> M_pe2c(n_de*aux_ker_dim[0],n_dc*aux_ker_dim[1]);
  482. aux_kernel.BuildMatrix(&equiv_surf[0], n_de,
  483. &check_surf[0], n_dc, &(M_pe2c[0][0]));
  484. Matrix<Real_t>& M_c2e=Precomp(level,DC2DE_Type,0);
  485. M=M_pe2c*M_c2e;
  486. break;
  487. }
  488. case D2T_Type:
  489. {
  490. if(MultipoleOrder()==0) break;
  491. std::vector<Real_t>& rel_trg_coord=mat->RelativeTrgCoord();
  492. // Coord of target points
  493. Real_t r=pow(0.5,level);
  494. size_t n_trg=rel_trg_coord.size()/3;
  495. std::vector<Real_t> trg_coord(n_trg*3);
  496. for(size_t i=0;i<n_trg*COORD_DIM;i++) trg_coord[i]=rel_trg_coord[i]*r;
  497. // Coord of downward equivalent surface
  498. Real_t c[3]={0,0,0};
  499. std::vector<Real_t> equiv_surf=d_equiv_surf(MultipoleOrder(),c,level);
  500. size_t n_eq=equiv_surf.size()/3;
  501. // Evaluate potential at target points due to equivalent surface.
  502. {
  503. M .Resize(n_eq*ker_dim [0], n_trg*ker_dim [1]);
  504. kernel.BuildMatrix(&equiv_surf[0], n_eq, &trg_coord[0], n_trg, &(M [0][0]));
  505. }
  506. break;
  507. }
  508. case U0_Type:
  509. {
  510. break;
  511. }
  512. case U1_Type:
  513. {
  514. break;
  515. }
  516. case U2_Type:
  517. {
  518. break;
  519. }
  520. case V_Type:
  521. {
  522. if(MultipoleOrder()==0) break;
  523. int n1=MultipoleOrder()*2;
  524. int n3 =n1*n1*n1;
  525. int n3_=n1*n1*(n1/2+1);
  526. //Compute the matrix.
  527. Real_t s=pow(0.5,level);
  528. int* coord2=interac_list.RelativeCoord(type,mat_indx);
  529. Real_t coord_diff[3]={coord2[0]*s,coord2[1]*s,coord2[2]*s};
  530. //Evaluate potential.
  531. std::vector<Real_t> r_trg(COORD_DIM,0.0);
  532. std::vector<Real_t> conv_poten(n3*aux_ker_dim[0]*aux_ker_dim[1]);
  533. std::vector<Real_t> conv_coord=conv_grid(MultipoleOrder(),coord_diff,level);
  534. aux_kernel.BuildMatrix(&conv_coord[0],n3,&r_trg[0],1,&conv_poten[0]);
  535. //Rearrange data.
  536. Matrix<Real_t> M_conv(n3,aux_ker_dim[0]*aux_ker_dim[1],&conv_poten[0],false);
  537. M_conv=M_conv.Transpose();
  538. //Compute FFTW plan.
  539. int nnn[3]={n1,n1,n1};
  540. Real_t *fftw_in, *fftw_out;
  541. fftw_in = mem::aligned_malloc<Real_t>( n3 *aux_ker_dim[0]*aux_ker_dim[1]*sizeof(Real_t));
  542. fftw_out = mem::aligned_malloc<Real_t>(2*n3_*aux_ker_dim[0]*aux_ker_dim[1]*sizeof(Real_t));
  543. #pragma omp critical (FFTW_PLAN)
  544. {
  545. if (!vprecomp_fft_flag){
  546. vprecomp_fftplan = FFTW_t<Real_t>::fft_plan_many_dft_r2c(COORD_DIM, nnn, aux_ker_dim[0]*aux_ker_dim[1],
  547. (Real_t*)fftw_in, NULL, 1, n3, (typename FFTW_t<Real_t>::cplx*) fftw_out, NULL, 1, n3_, FFTW_ESTIMATE);
  548. vprecomp_fft_flag=true;
  549. }
  550. }
  551. //Compute FFT.
  552. mem::memcopy(fftw_in, &conv_poten[0], n3*aux_ker_dim[0]*aux_ker_dim[1]*sizeof(Real_t));
  553. FFTW_t<Real_t>::fft_execute_dft_r2c(vprecomp_fftplan, (Real_t*)fftw_in, (typename FFTW_t<Real_t>::cplx*)(fftw_out));
  554. Matrix<Real_t> M_(2*n3_*aux_ker_dim[0]*aux_ker_dim[1],1,(Real_t*)fftw_out,false);
  555. M=M_;
  556. //Free memory.
  557. mem::aligned_free<Real_t>(fftw_in);
  558. mem::aligned_free<Real_t>(fftw_out);
  559. break;
  560. }
  561. case V1_Type:
  562. {
  563. if(MultipoleOrder()==0) break;
  564. size_t mat_cnt =interac_list.ListCount( V_Type);
  565. for(size_t k=0;k<mat_cnt;k++) Precomp(level, V_Type, k);
  566. const size_t chld_cnt=1UL<<COORD_DIM;
  567. size_t n1=MultipoleOrder()*2;
  568. size_t M_dim=n1*n1*(n1/2+1);
  569. size_t n3=n1*n1*n1;
  570. Vector<Real_t> zero_vec(M_dim*aux_ker_dim[0]*aux_ker_dim[1]*2);
  571. zero_vec.SetZero();
  572. Vector<Real_t*> M_ptr(chld_cnt*chld_cnt);
  573. for(size_t i=0;i<chld_cnt*chld_cnt;i++) M_ptr[i]=&zero_vec[0];
  574. int* rel_coord_=interac_list.RelativeCoord(V1_Type, mat_indx);
  575. for(int j1=0;j1<chld_cnt;j1++)
  576. for(int j2=0;j2<chld_cnt;j2++){
  577. int rel_coord[3]={rel_coord_[0]*2-(j1/1)%2+(j2/1)%2,
  578. rel_coord_[1]*2-(j1/2)%2+(j2/2)%2,
  579. rel_coord_[2]*2-(j1/4)%2+(j2/4)%2};
  580. for(size_t k=0;k<mat_cnt;k++){
  581. int* ref_coord=interac_list.RelativeCoord(V_Type, k);
  582. if(ref_coord[0]==rel_coord[0] &&
  583. ref_coord[1]==rel_coord[1] &&
  584. ref_coord[2]==rel_coord[2]){
  585. Matrix<Real_t>& M = this->mat->Mat(level, V_Type, k);
  586. M_ptr[j2*chld_cnt+j1]=&M[0][0];
  587. break;
  588. }
  589. }
  590. }
  591. // Build matrix aux_ker_dim0 x aux_ker_dim1 x M_dim x 8 x 8
  592. M.Resize(aux_ker_dim[0]*aux_ker_dim[1]*M_dim, 2*chld_cnt*chld_cnt);
  593. for(int j=0;j<aux_ker_dim[0]*aux_ker_dim[1]*M_dim;j++){
  594. for(size_t k=0;k<chld_cnt*chld_cnt;k++){
  595. M[j][k*2+0]=M_ptr[k][j*2+0]/n3;
  596. M[j][k*2+1]=M_ptr[k][j*2+1]/n3;
  597. }
  598. }
  599. break;
  600. }
  601. case W_Type:
  602. {
  603. if(MultipoleOrder()==0) break;
  604. std::vector<Real_t>& rel_trg_coord=mat->RelativeTrgCoord();
  605. // Coord of target points
  606. Real_t s=pow(0.5,level);
  607. size_t n_trg=rel_trg_coord.size()/3;
  608. std::vector<Real_t> trg_coord(n_trg*3);
  609. for(size_t j=0;j<n_trg*COORD_DIM;j++) trg_coord[j]=rel_trg_coord[j]*s;
  610. // Coord of downward equivalent surface
  611. int* coord2=interac_list.RelativeCoord(type,mat_indx);
  612. Real_t c[3]={(coord2[0]+1)*s*0.25,(coord2[1]+1)*s*0.25,(coord2[2]+1)*s*0.25};
  613. std::vector<Real_t> equiv_surf=u_equiv_surf(MultipoleOrder(),c,level+1);
  614. size_t n_eq=equiv_surf.size()/3;
  615. // Evaluate potential at target points due to equivalent surface.
  616. {
  617. M .Resize(n_eq*ker_dim [0],n_trg*ker_dim [1]);
  618. kernel.BuildMatrix(&equiv_surf[0], n_eq, &trg_coord[0], n_trg, &(M [0][0]));
  619. }
  620. break;
  621. }
  622. case X_Type:
  623. {
  624. break;
  625. }
  626. case BC_Type:
  627. {
  628. if(MultipoleOrder()==0) break;
  629. size_t mat_cnt_m2m=interac_list.ListCount(U2U_Type);
  630. size_t n_surf=(6*(MultipoleOrder()-1)*(MultipoleOrder()-1)+2); //Total number of points.
  631. if((M.Dim(0)!=n_surf*aux_ker_dim[0] || M.Dim(1)!=n_surf*aux_ker_dim[1]) && level==0){
  632. Matrix<Real_t> M_m2m[BC_LEVELS+1];
  633. Matrix<Real_t> M_m2l[BC_LEVELS+1];
  634. Matrix<Real_t> M_l2l[BC_LEVELS+1];
  635. Matrix<Real_t> M_zero_avg(n_surf*aux_ker_dim[0],n_surf*aux_ker_dim[0]);
  636. { // Set average multipole charge to zero. (improves stability for large BC_LEVELS)
  637. M_zero_avg.SetZero();
  638. for(size_t i=0;i<n_surf*aux_ker_dim[0];i++)
  639. M_zero_avg[i][i]+=1;
  640. for(size_t i=0;i<n_surf;i++)
  641. for(size_t j=0;j<n_surf;j++)
  642. for(size_t k=0;k<aux_ker_dim[0];k++)
  643. M_zero_avg[i*aux_ker_dim[0]+k][j*aux_ker_dim[0]+k]-=1.0/n_surf;
  644. }
  645. for(int level=0; level>-BC_LEVELS; level--){
  646. M_l2l[-level] = this->Precomp(level, D2D_Type, 0);
  647. if(M_l2l[-level].Dim(0)==0 || M_l2l[-level].Dim(1)==0){
  648. Matrix<Real_t>& M0 = interac_list.ClassMat(level, D2D_Type, 0);
  649. Permutation<Real_t>& Pr = this->interac_list.Perm_R(level, D2D_Type, 0);
  650. Permutation<Real_t>& Pc = this->interac_list.Perm_C(level, D2D_Type, 0);
  651. M_l2l[-level] = Pr*M0*Pc;
  652. }
  653. M_m2m[-level] = M_zero_avg*this->Precomp(level, U2U_Type, 0);
  654. for(size_t mat_indx=1; mat_indx<mat_cnt_m2m; mat_indx++)
  655. M_m2m[-level] += M_zero_avg*this->Precomp(level, U2U_Type, mat_indx);
  656. }
  657. for(int level=-BC_LEVELS;level<=0;level++){
  658. if(!Homogen() || level==-BC_LEVELS){
  659. Real_t s=(1UL<<(-level));
  660. Real_t ue_coord[3]={0,0,0};
  661. Real_t dc_coord[3]={0,0,0};
  662. std::vector<Real_t> src_coord=u_equiv_surf(MultipoleOrder(), ue_coord, level);
  663. std::vector<Real_t> trg_coord=d_check_surf(MultipoleOrder(), dc_coord, level);
  664. Matrix<Real_t> M_ue2dc(n_surf*aux_ker_dim[0], n_surf*aux_ker_dim[1]);
  665. M_ue2dc.SetZero();
  666. for(int x0=-2;x0<4;x0++)
  667. for(int x1=-2;x1<4;x1++)
  668. for(int x2=-2;x2<4;x2++)
  669. if(abs(x0)>1 || abs(x1)>1 || abs(x2)>1){
  670. ue_coord[0]=x0*s; ue_coord[1]=x1*s; ue_coord[2]=x2*s;
  671. std::vector<Real_t> src_coord=u_equiv_surf(MultipoleOrder(), ue_coord, level);
  672. Matrix<Real_t> M_tmp(n_surf*aux_ker_dim[0], n_surf*aux_ker_dim[1]);
  673. aux_kernel.BuildMatrix(&src_coord[0], n_surf,
  674. &trg_coord[0], n_surf, &(M_tmp[0][0]));
  675. M_ue2dc+=M_tmp;
  676. }
  677. // Shift by constant.
  678. Real_t scale_adj=(Homogen()?pow(0.5, level*aux_kernel.poten_scale):1);
  679. for(size_t i=0;i<M_ue2dc.Dim(0);i++){
  680. std::vector<Real_t> avg(aux_ker_dim[1],0);
  681. for(size_t j=0; j<M_ue2dc.Dim(1); j+=aux_ker_dim[1])
  682. for(int k=0; k<aux_ker_dim[1]; k++) avg[k]+=M_ue2dc[i][j+k];
  683. for(int k=0; k<aux_ker_dim[1]; k++) avg[k]/=n_surf;
  684. for(size_t j=0; j<M_ue2dc.Dim(1); j+=aux_ker_dim[1])
  685. for(int k=0; k<aux_ker_dim[1]; k++) M_ue2dc[i][j+k]=(M_ue2dc[i][j+k]-avg[k])*scale_adj;
  686. }
  687. Matrix<Real_t>& M_dc2de = Precomp(level, DC2DE_Type, 0);
  688. M_m2l[-level]=M_ue2dc*M_dc2de;
  689. }else M_m2l[-level]=M_m2l[1-level];
  690. if(level==-BC_LEVELS) M = M_m2l[-level];
  691. else M = M_m2l[-level] + M_m2m[-level]*M*M_l2l[-level];
  692. { // Shift by constant. (improves stability for large BC_LEVELS)
  693. Matrix<Real_t> M_de2dc(n_surf*aux_ker_dim[0], n_surf*aux_ker_dim[1]);
  694. { // M_de2dc TODO: For homogeneous kernels, compute only once.
  695. // Coord of downward check surface
  696. Real_t c[3]={0,0,0};
  697. std::vector<Real_t> check_surf=d_check_surf(MultipoleOrder(),c,0);
  698. size_t n_ch=check_surf.size()/3;
  699. // Coord of downward equivalent surface
  700. std::vector<Real_t> equiv_surf=d_equiv_surf(MultipoleOrder(),c,0);
  701. size_t n_eq=equiv_surf.size()/3;
  702. // Evaluate potential at check surface due to equivalent surface.
  703. aux_kernel.BuildMatrix(&equiv_surf[0], n_eq,
  704. &check_surf[0], n_ch, &(M_de2dc[0][0]));
  705. }
  706. Matrix<Real_t> M_ue2dc=M*M_de2dc;
  707. for(size_t i=0;i<M_ue2dc.Dim(0);i++){
  708. std::vector<Real_t> avg(aux_ker_dim[1],0);
  709. for(size_t j=0; j<M_ue2dc.Dim(1); j+=aux_ker_dim[1])
  710. for(int k=0; k<aux_ker_dim[1]; k++) avg[k]+=M_ue2dc[i][j+k];
  711. for(int k=0; k<aux_ker_dim[1]; k++) avg[k]/=n_surf;
  712. for(size_t j=0; j<M_ue2dc.Dim(1); j+=aux_ker_dim[1])
  713. for(int k=0; k<aux_ker_dim[1]; k++) M_ue2dc[i][j+k]-=avg[k];
  714. }
  715. Matrix<Real_t>& M_dc2de = Precomp(level, DC2DE_Type, 0);
  716. M=M_ue2dc*M_dc2de;
  717. }
  718. }
  719. { // ax+by+cz+d correction.
  720. std::vector<Real_t> corner_pts;
  721. corner_pts.push_back(0); corner_pts.push_back(0); corner_pts.push_back(0);
  722. corner_pts.push_back(1); corner_pts.push_back(0); corner_pts.push_back(0);
  723. corner_pts.push_back(0); corner_pts.push_back(1); corner_pts.push_back(0);
  724. corner_pts.push_back(0); corner_pts.push_back(0); corner_pts.push_back(1);
  725. size_t n_corner=corner_pts.size()/3;
  726. // Coord of downward equivalent surface
  727. Real_t c[3]={0,0,0};
  728. std::vector<Real_t> up_equiv_surf=u_equiv_surf(MultipoleOrder(),c,0);
  729. std::vector<Real_t> dn_equiv_surf=d_equiv_surf(MultipoleOrder(),c,0);
  730. std::vector<Real_t> dn_check_surf=d_check_surf(MultipoleOrder(),c,0);
  731. Matrix<Real_t> M_err;
  732. { // Evaluate potential at corner due to upward and dnward equivalent surface.
  733. { // Error from local expansion.
  734. Matrix<Real_t> M_e2pt(n_surf*aux_ker_dim[0],n_corner*aux_ker_dim[1]);
  735. aux_kernel.BuildMatrix(&dn_equiv_surf[0], n_surf,
  736. &corner_pts[0], n_corner, &(M_e2pt[0][0]));
  737. M_err=M*M_e2pt;
  738. }
  739. for(size_t k=0;k<4;k++){ // Error from colleagues of root.
  740. for(int j0=-1;j0<=1;j0++)
  741. for(int j1=-1;j1<=1;j1++)
  742. for(int j2=-1;j2<=1;j2++){
  743. Real_t pt_coord[3]={corner_pts[k*COORD_DIM+0]-j0,
  744. corner_pts[k*COORD_DIM+1]-j1,
  745. corner_pts[k*COORD_DIM+2]-j2};
  746. if(fabs(pt_coord[0]-0.5)>1.0 || fabs(pt_coord[1]-0.5)>1.0 || fabs(pt_coord[2]-0.5)>1.0){
  747. Matrix<Real_t> M_e2pt(n_surf*aux_ker_dim[0],aux_ker_dim[1]);
  748. aux_kernel.BuildMatrix(&up_equiv_surf[0], n_surf,
  749. &pt_coord[0], 1, &(M_e2pt[0][0]));
  750. for(size_t i=0;i<M_e2pt.Dim(0);i++)
  751. for(size_t j=0;j<M_e2pt.Dim(1);j++)
  752. M_err[i][k*aux_ker_dim[1]+j]+=M_e2pt[i][j];
  753. }
  754. }
  755. }
  756. }
  757. Matrix<Real_t> M_grad(M_err.Dim(0),n_surf*aux_ker_dim[1]);
  758. for(size_t i=0;i<M_err.Dim(0);i++)
  759. for(size_t k=0;k<aux_ker_dim[1];k++)
  760. for(size_t j=0;j<n_surf;j++){
  761. M_grad[i][j*aux_ker_dim[1]+k]=(M_err[i][0*aux_ker_dim[1]+k] )*1.0 +
  762. (M_err[i][1*aux_ker_dim[1]+k]-M_err[i][0*aux_ker_dim[1]+k])*dn_check_surf[j*COORD_DIM+0]+
  763. (M_err[i][2*aux_ker_dim[1]+k]-M_err[i][0*aux_ker_dim[1]+k])*dn_check_surf[j*COORD_DIM+1]+
  764. (M_err[i][3*aux_ker_dim[1]+k]-M_err[i][0*aux_ker_dim[1]+k])*dn_check_surf[j*COORD_DIM+2];
  765. }
  766. Matrix<Real_t>& M_dc2de = Precomp(0, DC2DE_Type, 0);
  767. M-=M_grad*M_dc2de;
  768. }
  769. { // Free memory
  770. Mat_Type type=D2D_Type;
  771. for(int l=-BC_LEVELS;l<0;l++)
  772. for(size_t indx=0;indx<this->interac_list.ListCount(type);indx++){
  773. Matrix<Real_t>& M=this->mat->Mat(l, type, indx);
  774. M.Resize(0,0);
  775. }
  776. type=U2U_Type;
  777. for(int l=-BC_LEVELS;l<0;l++)
  778. for(size_t indx=0;indx<this->interac_list.ListCount(type);indx++){
  779. Matrix<Real_t>& M=this->mat->Mat(l, type, indx);
  780. M.Resize(0,0);
  781. }
  782. type=DC2DE_Type;
  783. for(int l=-BC_LEVELS;l<0;l++)
  784. for(size_t indx=0;indx<this->interac_list.ListCount(type);indx++){
  785. Matrix<Real_t>& M=this->mat->Mat(l, type, indx);
  786. M.Resize(0,0);
  787. }
  788. type=UC2UE_Type;
  789. for(int l=-BC_LEVELS;l<0;l++)
  790. for(size_t indx=0;indx<this->interac_list.ListCount(type);indx++){
  791. Matrix<Real_t>& M=this->mat->Mat(l, type, indx);
  792. M.Resize(0,0);
  793. }
  794. }
  795. }
  796. break;
  797. }
  798. default:
  799. break;
  800. }
  801. //Save the matrix for future use.
  802. #pragma omp critical (PRECOMP_MATRIX_PTS)
  803. if(M_.Dim(0)==0 && M_.Dim(1)==0){
  804. M_=M;
  805. /*
  806. M_.Resize(M.Dim(0),M.Dim(1));
  807. int dof=aux_ker_dim[0]*aux_ker_dim[1];
  808. for(int j=0;j<dof;j++){
  809. size_t a=(M.Dim(0)*M.Dim(1)* j )/dof;
  810. size_t b=(M.Dim(0)*M.Dim(1)*(j+1))/dof;
  811. #pragma omp parallel for // NUMA
  812. for(int tid=0;tid<omp_p;tid++){
  813. size_t a_=a+((b-a)* tid )/omp_p;
  814. size_t b_=a+((b-a)*(tid+1))/omp_p;
  815. mem::memcopy(&M_[0][a_], &M[0][a_], (b_-a_)*sizeof(Real_t));
  816. }
  817. }
  818. */
  819. }
  820. return M_;
  821. }
  822. template <class FMMNode>
  823. void FMM_Pts<FMMNode>::PrecompAll(Mat_Type type, int level){
  824. int depth=(Homogen()?1:MAX_DEPTH);
  825. if(level==-1){
  826. for(int l=0;l<depth;l++){
  827. std::stringstream level_str;
  828. level_str<<"level="<<l;
  829. PrecompAll(type, l);
  830. }
  831. return;
  832. }
  833. //Compute basic permutations.
  834. for(size_t i=0;i<Perm_Count;i++)
  835. this->PrecompPerm(type, (Perm_Type) i);
  836. {
  837. //Allocate matrices.
  838. size_t mat_cnt=interac_list.ListCount((Mat_Type)type);
  839. mat->Mat(level, (Mat_Type)type, mat_cnt-1);
  840. { // Compute InteracClass matrices.
  841. std::vector<size_t> indx_lst;
  842. for(size_t i=0; i<mat_cnt; i++){
  843. if(interac_list.InteracClass((Mat_Type)type,i)==i)
  844. indx_lst.push_back(i);
  845. }
  846. //Compute Transformations.
  847. //#pragma omp parallel for //lets use fine grained parallelism
  848. for(size_t i=0; i<indx_lst.size(); i++){
  849. Precomp(level, (Mat_Type)type, indx_lst[i]);
  850. }
  851. }
  852. //#pragma omp parallel for //lets use fine grained parallelism
  853. for(size_t mat_indx=0;mat_indx<mat_cnt;mat_indx++){
  854. Matrix<Real_t>& M0=interac_list.ClassMat(level,(Mat_Type)type,mat_indx);
  855. Permutation<Real_t>& pr=interac_list.Perm_R(level, (Mat_Type)type, mat_indx);
  856. Permutation<Real_t>& pc=interac_list.Perm_C(level, (Mat_Type)type, mat_indx);
  857. if(pr.Dim()!=M0.Dim(0) || pc.Dim()!=M0.Dim(1)) Precomp(level, (Mat_Type)type, mat_indx);
  858. }
  859. }
  860. }
  861. template <class FMMNode>
  862. void FMM_Pts<FMMNode>::CollectNodeData(std::vector<FMMNode*>& node, std::vector<Matrix<Real_t> >& buff, std::vector<Vector<FMMNode_t*> >& n_list, std::vector<size_t> extra_size){
  863. if( buff.size()<7) buff.resize(7);
  864. if( n_list.size()<7) n_list.resize(7);
  865. if(node.size()==0) return;
  866. {// 0. upward_equiv
  867. int indx=0;
  868. Matrix<Real_t>& M_uc2ue = this->interac_list.ClassMat(0, UC2UE_Type, 0);
  869. size_t vec_sz=M_uc2ue.Dim(1);
  870. std::vector< FMMNode* > node_lst;
  871. {
  872. std::vector<std::vector< FMMNode* > > node_lst_(MAX_DEPTH+1);
  873. FMMNode_t* r_node=NULL;
  874. for(size_t i=0;i<node.size();i++){
  875. if(!node[i]->IsLeaf())
  876. node_lst_[node[i]->Depth()].push_back(node[i]);
  877. if(node[i]->Depth()==0) r_node=node[i];
  878. }
  879. size_t chld_cnt=1UL<<COORD_DIM;
  880. for(int i=0;i<=MAX_DEPTH;i++)
  881. for(size_t j=0;j<node_lst_[i].size();j++)
  882. for(size_t k=0;k<chld_cnt;k++)
  883. node_lst.push_back((FMMNode_t*)node_lst_[i][j]->Child(k));
  884. if(r_node!=NULL) node_lst.push_back(r_node);
  885. }
  886. n_list[indx]=node_lst;
  887. size_t buff_size=node_lst.size()*vec_sz;
  888. buff_size+=(extra_size.size()>indx?extra_size[indx]:0);
  889. #pragma omp parallel for
  890. for(size_t i=0;i<node.size();i++){ // Clear data
  891. Vector<Real_t>& upward_equiv=node[i]->FMMData()->upward_equiv;
  892. upward_equiv.ReInit(0);
  893. }
  894. buff[indx].Resize(1,buff_size);
  895. #pragma omp parallel for
  896. for(size_t i=0;i<node_lst.size();i++){
  897. Vector<Real_t>& upward_equiv=node_lst[i]->FMMData()->upward_equiv;
  898. upward_equiv.ReInit(vec_sz, buff[indx][0]+i*vec_sz, false);
  899. upward_equiv.SetZero();
  900. }
  901. buff[indx].AllocDevice(true);
  902. }
  903. {// 1. dnward_equiv
  904. int indx=1;
  905. Matrix<Real_t>& M_dc2de = this->interac_list.ClassMat(0, DC2DE_Type, 0);
  906. size_t vec_sz=M_dc2de.Dim(1);
  907. std::vector< FMMNode* > node_lst;
  908. {
  909. std::vector<std::vector< FMMNode* > > node_lst_(MAX_DEPTH+1);
  910. FMMNode_t* r_node=NULL;
  911. for(size_t i=0;i<node.size();i++){
  912. if(!node[i]->IsLeaf() && !node[i]->IsGhost())
  913. node_lst_[node[i]->Depth()].push_back(node[i]);
  914. if(node[i]->Depth()==0) r_node=node[i];
  915. }
  916. size_t chld_cnt=1UL<<COORD_DIM;
  917. for(int i=0;i<=MAX_DEPTH;i++)
  918. for(size_t j=0;j<node_lst_[i].size();j++)
  919. for(size_t k=0;k<chld_cnt;k++)
  920. node_lst.push_back((FMMNode_t*)node_lst_[i][j]->Child(k));
  921. if(r_node!=NULL) node_lst.push_back(r_node);
  922. }
  923. n_list[indx]=node_lst;
  924. size_t buff_size=node_lst.size()*vec_sz;
  925. buff_size+=(extra_size.size()>indx?extra_size[indx]:0);
  926. #pragma omp parallel for
  927. for(size_t i=0;i<node.size();i++){ // Clear data
  928. Vector<Real_t>& dnward_equiv=node[i]->FMMData()->dnward_equiv;
  929. dnward_equiv.ReInit(0);
  930. }
  931. buff[indx].Resize(1,buff_size);
  932. #pragma omp parallel for
  933. for(size_t i=0;i<node_lst.size();i++){
  934. Vector<Real_t>& dnward_equiv=node_lst[i]->FMMData()->dnward_equiv;
  935. dnward_equiv.ReInit(vec_sz, buff[indx][0]+i*vec_sz, false);
  936. dnward_equiv.SetZero();
  937. }
  938. buff[indx].AllocDevice(true);
  939. }
  940. {// 2. upward_equiv_fft
  941. int indx=2;
  942. std::vector< FMMNode* > node_lst;
  943. {
  944. std::vector<std::vector< FMMNode* > > node_lst_(MAX_DEPTH+1);
  945. for(size_t i=0;i<node.size();i++)
  946. if(!node[i]->IsLeaf())
  947. node_lst_[node[i]->Depth()].push_back(node[i]);
  948. for(int i=0;i<=MAX_DEPTH;i++)
  949. for(size_t j=0;j<node_lst_[i].size();j++)
  950. node_lst.push_back(node_lst_[i][j]);
  951. }
  952. n_list[indx]=node_lst;
  953. buff[indx].AllocDevice(true);
  954. }
  955. {// 3. dnward_check_fft
  956. int indx=3;
  957. std::vector< FMMNode* > node_lst;
  958. {
  959. std::vector<std::vector< FMMNode* > > node_lst_(MAX_DEPTH+1);
  960. for(size_t i=0;i<node.size();i++)
  961. if(!node[i]->IsLeaf() && !node[i]->IsGhost())
  962. node_lst_[node[i]->Depth()].push_back(node[i]);
  963. for(int i=0;i<=MAX_DEPTH;i++)
  964. for(size_t j=0;j<node_lst_[i].size();j++)
  965. node_lst.push_back(node_lst_[i][j]);
  966. }
  967. n_list[indx]=node_lst;
  968. buff[indx].AllocDevice(true);
  969. }
  970. {// 4. src_val
  971. int indx=4;
  972. int src_dof=kernel.ker_dim[0];
  973. int surf_dof=COORD_DIM+src_dof;
  974. std::vector< FMMNode* > node_lst;
  975. size_t buff_size=0;
  976. for(size_t i=0;i<node.size();i++)
  977. if(node[i]->IsLeaf()){
  978. node_lst.push_back(node[i]);
  979. buff_size+=(node[i]->src_coord.Dim()/COORD_DIM)*src_dof;
  980. buff_size+=(node[i]->surf_coord.Dim()/COORD_DIM)*surf_dof;
  981. }
  982. n_list[indx]=node_lst;
  983. #pragma omp parallel for
  984. for(size_t i=0;i<node.size();i++){ // Move data before resizing buff[indx]
  985. { // src_value
  986. Vector<Real_t>& src_value=node[i]->src_value;
  987. Vector<Real_t> new_buff=src_value;
  988. src_value.Swap(new_buff);
  989. }
  990. { // surf_value
  991. Vector<Real_t>& surf_value=node[i]->surf_value;
  992. Vector<Real_t> new_buff=surf_value;
  993. surf_value.Swap(new_buff);
  994. }
  995. }
  996. buff[indx].Resize(1,buff_size+(extra_size.size()>indx?extra_size[indx]:0));
  997. Real_t* buff_ptr=&buff[indx][0][0];
  998. for(size_t i=0;i<node_lst.size();i++){
  999. { // src_value
  1000. Vector<Real_t>& src_value=node_lst[i]->src_value;
  1001. mem::memcopy(buff_ptr,&src_value[0],src_value.Dim()*sizeof(Real_t));
  1002. src_value.ReInit((node_lst[i]->src_coord.Dim()/COORD_DIM)*src_dof, buff_ptr, false);
  1003. buff_ptr+=(node_lst[i]->src_coord.Dim()/COORD_DIM)*src_dof;
  1004. }
  1005. { // surf_value
  1006. Vector<Real_t>& surf_value=node_lst[i]->surf_value;
  1007. mem::memcopy(buff_ptr,&surf_value[0],surf_value.Dim()*sizeof(Real_t));
  1008. surf_value.ReInit((node_lst[i]->surf_coord.Dim()/COORD_DIM)*surf_dof, buff_ptr, false);
  1009. buff_ptr+=(node_lst[i]->surf_coord.Dim()/COORD_DIM)*surf_dof;
  1010. }
  1011. }
  1012. buff[indx].AllocDevice(true);
  1013. }
  1014. {// 5. trg_val
  1015. int indx=5;
  1016. int trg_dof=kernel.ker_dim[1];
  1017. std::vector< FMMNode* > node_lst;
  1018. size_t buff_size=0;
  1019. for(size_t i=0;i<node.size();i++)
  1020. if(node[i]->IsLeaf() && !node[i]->IsGhost()){
  1021. node_lst.push_back(node[i]);
  1022. buff_size+=(node[i]->trg_coord.Dim()/COORD_DIM)*trg_dof;
  1023. }
  1024. n_list[indx]=node_lst;
  1025. #pragma omp parallel for
  1026. for(size_t i=0;i<node.size();i++){ // Clear data
  1027. { // trg_value
  1028. Vector<Real_t>& trg_value=node[i]->trg_value;
  1029. trg_value.ReInit(0);
  1030. }
  1031. }
  1032. buff[indx].Resize(1,buff_size+(extra_size.size()>indx?extra_size[indx]:0));
  1033. Real_t* buff_ptr=&buff[indx][0][0];
  1034. for(size_t i=0;i<node_lst.size();i++){
  1035. { // trg_value
  1036. Vector<Real_t>& trg_value=node_lst[i]->trg_value;
  1037. trg_value.ReInit((node_lst[i]->trg_coord.Dim()/COORD_DIM)*trg_dof, buff_ptr, false);
  1038. buff_ptr+=(node_lst[i]->trg_coord.Dim()/COORD_DIM)*trg_dof;
  1039. }
  1040. }
  1041. #pragma omp parallel for
  1042. for(size_t i=0;i<node_lst.size();i++){
  1043. Vector<Real_t>& trg_value=node_lst[i]->trg_value;
  1044. trg_value.SetZero();
  1045. }
  1046. buff[indx].AllocDevice(true);
  1047. }
  1048. {// 6. pts_coord
  1049. int indx=6;
  1050. size_t m=MultipoleOrder();
  1051. std::vector< FMMNode* > node_lst;
  1052. size_t buff_size=0;
  1053. for(size_t i=0;i<node.size();i++)
  1054. if(node[i]->IsLeaf()){
  1055. node_lst.push_back(node[i]);
  1056. buff_size+=node[i]->src_coord.Dim();
  1057. buff_size+=node[i]->surf_coord.Dim();
  1058. buff_size+=node[i]->trg_coord.Dim();
  1059. }
  1060. n_list[indx]=node_lst;
  1061. #pragma omp parallel for
  1062. for(size_t i=0;i<node.size();i++){ // Move data before resizing buff[indx]
  1063. { // src_coord
  1064. Vector<Real_t>& src_coord=node[i]->src_coord;
  1065. Vector<Real_t> new_buff=src_coord;
  1066. src_coord.Swap(new_buff);
  1067. }
  1068. { // surf_coord
  1069. Vector<Real_t>& surf_coord=node[i]->surf_coord;
  1070. Vector<Real_t> new_buff=surf_coord;
  1071. surf_coord.Swap(new_buff);
  1072. }
  1073. { // trg_coord
  1074. Vector<Real_t>& trg_coord=node[i]->trg_coord;
  1075. Vector<Real_t> new_buff=trg_coord;
  1076. trg_coord.Swap(new_buff);
  1077. }
  1078. }
  1079. buff_size+=(extra_size.size()>indx?extra_size[indx]:0);
  1080. buff_size+=4*MAX_DEPTH*(6*(m-1)*(m-1)+2)*COORD_DIM;
  1081. buff[indx].Resize(1,buff_size);
  1082. Real_t* buff_ptr=&buff[indx][0][0];
  1083. for(size_t i=0;i<node_lst.size();i++){
  1084. { // src_coord
  1085. Vector<Real_t>& src_coord=node_lst[i]->src_coord;
  1086. mem::memcopy(buff_ptr,&src_coord[0],src_coord.Dim()*sizeof(Real_t));
  1087. src_coord.ReInit(node_lst[i]->src_coord.Dim(), buff_ptr, false);
  1088. buff_ptr+=node_lst[i]->src_coord.Dim();
  1089. }
  1090. { // surf_coord
  1091. Vector<Real_t>& surf_coord=node_lst[i]->surf_coord;
  1092. mem::memcopy(buff_ptr,&surf_coord[0],surf_coord.Dim()*sizeof(Real_t));
  1093. surf_coord.ReInit(node_lst[i]->surf_coord.Dim(), buff_ptr, false);
  1094. buff_ptr+=node_lst[i]->surf_coord.Dim();
  1095. }
  1096. { // trg_coord
  1097. Vector<Real_t>& trg_coord=node_lst[i]->trg_coord;
  1098. mem::memcopy(buff_ptr,&trg_coord[0],trg_coord.Dim()*sizeof(Real_t));
  1099. trg_coord.ReInit(node_lst[i]->trg_coord.Dim(), buff_ptr, false);
  1100. buff_ptr+=node_lst[i]->trg_coord.Dim();
  1101. }
  1102. }
  1103. { // check and equiv surfaces.
  1104. upwd_check_surf.resize(MAX_DEPTH);
  1105. upwd_equiv_surf.resize(MAX_DEPTH);
  1106. dnwd_check_surf.resize(MAX_DEPTH);
  1107. dnwd_equiv_surf.resize(MAX_DEPTH);
  1108. for(size_t depth=0;depth<MAX_DEPTH;depth++){
  1109. Real_t c[3]={0.0,0.0,0.0};
  1110. upwd_check_surf[depth].ReInit((6*(m-1)*(m-1)+2)*COORD_DIM, buff_ptr, false); buff_ptr+=(6*(m-1)*(m-1)+2)*COORD_DIM;
  1111. upwd_equiv_surf[depth].ReInit((6*(m-1)*(m-1)+2)*COORD_DIM, buff_ptr, false); buff_ptr+=(6*(m-1)*(m-1)+2)*COORD_DIM;
  1112. dnwd_check_surf[depth].ReInit((6*(m-1)*(m-1)+2)*COORD_DIM, buff_ptr, false); buff_ptr+=(6*(m-1)*(m-1)+2)*COORD_DIM;
  1113. dnwd_equiv_surf[depth].ReInit((6*(m-1)*(m-1)+2)*COORD_DIM, buff_ptr, false); buff_ptr+=(6*(m-1)*(m-1)+2)*COORD_DIM;
  1114. upwd_check_surf[depth]=u_check_surf(m,c,depth);
  1115. upwd_equiv_surf[depth]=u_equiv_surf(m,c,depth);
  1116. dnwd_check_surf[depth]=d_check_surf(m,c,depth);
  1117. dnwd_equiv_surf[depth]=d_equiv_surf(m,c,depth);
  1118. }
  1119. }
  1120. buff[indx].AllocDevice(true);
  1121. }
  1122. }
  1123. template <class FMMNode>
  1124. void FMM_Pts<FMMNode>::SetupPrecomp(SetupData<Real_t>& setup_data, bool device){
  1125. if(setup_data.precomp_data==NULL || setup_data.level>MAX_DEPTH) return;
  1126. Profile::Tic("SetupPrecomp",&this->comm,true,25);
  1127. { // Build precomp_data
  1128. size_t precomp_offset=0;
  1129. int level=setup_data.level;
  1130. Matrix<char>& precomp_data=*setup_data.precomp_data;
  1131. std::vector<Mat_Type>& interac_type_lst=setup_data.interac_type;
  1132. for(size_t type_indx=0; type_indx<interac_type_lst.size(); type_indx++){
  1133. Mat_Type& interac_type=interac_type_lst[type_indx];
  1134. this->PrecompAll(interac_type, level); // Compute matrices.
  1135. precomp_offset=this->mat->CompactData(level, interac_type, precomp_data, precomp_offset);
  1136. }
  1137. }
  1138. Profile::Toc();
  1139. if(device){ // Host2Device
  1140. Profile::Tic("Host2Device",&this->comm,false,25);
  1141. setup_data.precomp_data->AllocDevice(true);
  1142. Profile::Toc();
  1143. }
  1144. }
  1145. template <class FMMNode>
  1146. void FMM_Pts<FMMNode>::SetupInterac(SetupData<Real_t>& setup_data, bool device){
  1147. int level=setup_data.level;
  1148. std::vector<Mat_Type>& interac_type_lst=setup_data.interac_type;
  1149. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  1150. std::vector<void*>& nodes_out=setup_data.nodes_out;
  1151. Matrix<Real_t>& input_data=*setup_data. input_data;
  1152. Matrix<Real_t>& output_data=*setup_data.output_data;
  1153. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector;
  1154. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector;
  1155. size_t n_in =nodes_in .size();
  1156. size_t n_out=nodes_out.size();
  1157. // Setup precomputed data.
  1158. SetupPrecomp(setup_data,device);
  1159. // Build interac_data
  1160. Profile::Tic("Interac-Data",&this->comm,true,25);
  1161. Matrix<char>& interac_data=setup_data.interac_data;
  1162. if(n_out>0 && n_in >0){ // Build precomp_data, interac_data
  1163. std::vector<size_t> interac_mat;
  1164. std::vector<size_t> interac_cnt;
  1165. std::vector<size_t> interac_blk;
  1166. std::vector<size_t> input_perm;
  1167. std::vector<size_t> output_perm;
  1168. std::vector<Real_t> scaling;
  1169. size_t dof=0, M_dim0=0, M_dim1=0;
  1170. size_t precomp_offset=0;
  1171. size_t buff_size=DEVICE_BUFFER_SIZE*1024l*1024l;
  1172. for(size_t type_indx=0; type_indx<interac_type_lst.size(); type_indx++){
  1173. Mat_Type& interac_type=interac_type_lst[type_indx];
  1174. size_t mat_cnt=this->interac_list.ListCount(interac_type);
  1175. Vector<size_t> precomp_data_offset;
  1176. { // Load precomp_data for interac_type.
  1177. Matrix<char>& precomp_data=*setup_data.precomp_data;
  1178. char* indx_ptr=precomp_data[0]+precomp_offset;
  1179. size_t total_size=((size_t*)indx_ptr)[0]; indx_ptr+=sizeof(size_t);
  1180. /*size_t mat_cnt_ =((size_t*)indx_ptr)[0];*/ indx_ptr+=sizeof(size_t);
  1181. precomp_data_offset.ReInit((1+2+2)*mat_cnt, (size_t*)indx_ptr, false);
  1182. precomp_offset+=total_size;
  1183. }
  1184. Matrix<FMMNode*> src_interac_list(n_in ,mat_cnt); src_interac_list.SetZero();
  1185. Matrix<FMMNode*> trg_interac_list(n_out,mat_cnt); trg_interac_list.SetZero();
  1186. { // Build trg_interac_list
  1187. for(size_t i=0;i<n_out;i++){
  1188. if(!((FMMNode*)nodes_out[i])->IsGhost() && (level==-1 || ((FMMNode*)nodes_out[i])->Depth()==level)){
  1189. std::vector<FMMNode*>& lst=((FMMNode*)nodes_out[i])->interac_list[interac_type];
  1190. mem::memcopy(&trg_interac_list[i][0], &lst[0], lst.size()*sizeof(FMMNode*));
  1191. assert(lst.size()==mat_cnt);
  1192. }
  1193. }
  1194. }
  1195. { // Build src_interac_list
  1196. for(size_t i=0;i<n_in ;i++) ((FMMNode*)nodes_in [i])->node_id=i;
  1197. for(size_t i=0;i<n_out;i++){
  1198. for(size_t j=0;j<mat_cnt;j++)
  1199. if(trg_interac_list[i][j]!=NULL){
  1200. src_interac_list[trg_interac_list[i][j]->node_id][j]=(FMMNode*)nodes_out[i];
  1201. }
  1202. }
  1203. }
  1204. Matrix<size_t> interac_dsp(n_out,mat_cnt);
  1205. std::vector<size_t> interac_blk_dsp(1,0);
  1206. { // Determine dof, M_dim0, M_dim1
  1207. dof=1;
  1208. Matrix<Real_t>& M0 = this->interac_list.ClassMat(level, interac_type_lst[0], 0);
  1209. M_dim0=M0.Dim(0); M_dim1=M0.Dim(1);
  1210. }
  1211. { // Determine interaction blocks which fit in memory.
  1212. size_t vec_size=(M_dim0+M_dim1)*sizeof(Real_t)*dof;
  1213. for(size_t j=0;j<mat_cnt;j++){// Determine minimum buff_size
  1214. size_t vec_cnt=0;
  1215. for(size_t i=0;i<n_out;i++){
  1216. if(trg_interac_list[i][j]!=NULL) vec_cnt++;
  1217. }
  1218. if(buff_size<vec_cnt*vec_size)
  1219. buff_size=vec_cnt*vec_size;
  1220. }
  1221. size_t interac_dsp_=0;
  1222. for(size_t j=0;j<mat_cnt;j++){
  1223. for(size_t i=0;i<n_out;i++){
  1224. interac_dsp[i][j]=interac_dsp_;
  1225. if(trg_interac_list[i][j]!=NULL) interac_dsp_++;
  1226. }
  1227. if(interac_dsp_*vec_size>buff_size) // Comment to disable symmetries.
  1228. {
  1229. interac_blk.push_back(j-interac_blk_dsp.back());
  1230. interac_blk_dsp.push_back(j);
  1231. size_t offset=interac_dsp[0][j];
  1232. for(size_t i=0;i<n_out;i++) interac_dsp[i][j]-=offset;
  1233. interac_dsp_-=offset;
  1234. assert(interac_dsp_*vec_size<=buff_size); // Problem too big for buff_size.
  1235. }
  1236. interac_mat.push_back(precomp_data_offset[5*this->interac_list.InteracClass(interac_type,j)+0]);
  1237. interac_cnt.push_back(interac_dsp_-interac_dsp[0][j]);
  1238. }
  1239. interac_blk.push_back(mat_cnt-interac_blk_dsp.back());
  1240. interac_blk_dsp.push_back(mat_cnt);
  1241. }
  1242. { // Determine input_perm.
  1243. size_t vec_size=M_dim0*dof;
  1244. for(size_t i=0;i<n_out;i++) ((FMMNode*)nodes_out[i])->node_id=i;
  1245. for(size_t k=1;k<interac_blk_dsp.size();k++){
  1246. for(size_t i=0;i<n_in ;i++){
  1247. for(size_t j=interac_blk_dsp[k-1];j<interac_blk_dsp[k];j++){
  1248. FMMNode_t* trg_node=src_interac_list[i][j];
  1249. if(trg_node!=NULL){
  1250. input_perm .push_back(precomp_data_offset[5*j+1]); // prem
  1251. input_perm .push_back(precomp_data_offset[5*j+2]); // scal
  1252. input_perm .push_back(interac_dsp[trg_node->node_id][j]*vec_size*sizeof(Real_t)); // trg_ptr
  1253. input_perm .push_back((size_t)(& input_vector[i][0][0]- input_data[0])); // src_ptr
  1254. assert(input_vector[i]->Dim()==vec_size);
  1255. }
  1256. }
  1257. }
  1258. }
  1259. }
  1260. { // Determine scaling and output_perm
  1261. size_t vec_size=M_dim1*dof;
  1262. for(size_t k=1;k<interac_blk_dsp.size();k++){
  1263. for(size_t i=0;i<n_out;i++){
  1264. Real_t scaling_=0.0;
  1265. if(!this->Homogen()) scaling_=1.0;
  1266. else if(interac_type==S2U_Type) scaling_=pow(0.5, COORD_DIM *((FMMNode*)nodes_out[i])->Depth());
  1267. else if(interac_type==U2U_Type) scaling_=1.0;
  1268. else if(interac_type==D2D_Type) scaling_=1.0;
  1269. else if(interac_type==D2T_Type) scaling_=pow(0.5, -setup_data.kernel->poten_scale *((FMMNode*)nodes_out[i])->Depth());
  1270. else if(interac_type== U0_Type) scaling_=pow(0.5,(COORD_DIM-setup_data.kernel->poten_scale)*((FMMNode*)nodes_out[i])->Depth());
  1271. else if(interac_type== U1_Type) scaling_=pow(0.5,(COORD_DIM-setup_data.kernel->poten_scale)*((FMMNode*)nodes_out[i])->Depth());
  1272. else if(interac_type== U2_Type) scaling_=pow(0.5,(COORD_DIM-setup_data.kernel->poten_scale)*((FMMNode*)nodes_out[i])->Depth());
  1273. else if(interac_type== W_Type) scaling_=pow(0.5, -setup_data.kernel->poten_scale *((FMMNode*)nodes_out[i])->Depth());
  1274. else if(interac_type== X_Type) scaling_=pow(0.5, COORD_DIM *((FMMNode*)nodes_out[i])->Depth());
  1275. for(size_t j=interac_blk_dsp[k-1];j<interac_blk_dsp[k];j++){
  1276. if(trg_interac_list[i][j]!=NULL){
  1277. scaling.push_back(scaling_); // scaling
  1278. output_perm.push_back(precomp_data_offset[5*j+3]); // prem
  1279. output_perm.push_back(precomp_data_offset[5*j+4]); // scal
  1280. output_perm.push_back(interac_dsp[ i ][j]*vec_size*sizeof(Real_t)); // src_ptr
  1281. output_perm.push_back((size_t)(&output_vector[i][0][0]-output_data[0])); // trg_ptr
  1282. assert(output_vector[i]->Dim()==vec_size);
  1283. }
  1284. }
  1285. }
  1286. }
  1287. }
  1288. }
  1289. if(this->dev_buffer.Dim()<buff_size) this->dev_buffer.Resize(buff_size);
  1290. if(this->cpu_buffer.Dim()<buff_size) this->cpu_buffer.Resize(buff_size);
  1291. { // Set interac_data.
  1292. size_t data_size=sizeof(size_t)*4;
  1293. data_size+=sizeof(size_t)+interac_blk.size()*sizeof(size_t);
  1294. data_size+=sizeof(size_t)+interac_cnt.size()*sizeof(size_t);
  1295. data_size+=sizeof(size_t)+interac_mat.size()*sizeof(size_t);
  1296. data_size+=sizeof(size_t)+ input_perm.size()*sizeof(size_t);
  1297. data_size+=sizeof(size_t)+output_perm.size()*sizeof(size_t);
  1298. data_size+=sizeof(size_t)+scaling.size()*sizeof(Real_t);
  1299. if(interac_data.Dim(0)*interac_data.Dim(1)<sizeof(size_t)){
  1300. data_size+=sizeof(size_t);
  1301. interac_data.Resize(1,data_size);
  1302. ((size_t*)&interac_data[0][0])[0]=sizeof(size_t);
  1303. }else{
  1304. size_t pts_data_size=*((size_t*)&interac_data[0][0]);
  1305. assert(interac_data.Dim(0)*interac_data.Dim(1)>=pts_data_size);
  1306. data_size+=pts_data_size;
  1307. if(data_size>interac_data.Dim(0)*interac_data.Dim(1)){ //Resize and copy interac_data.
  1308. Matrix< char> pts_interac_data=interac_data;
  1309. interac_data.Resize(1,data_size);
  1310. mem::memcopy(&interac_data[0][0],&pts_interac_data[0][0],pts_data_size);
  1311. }
  1312. }
  1313. char* data_ptr=&interac_data[0][0];
  1314. data_ptr+=((size_t*)data_ptr)[0];
  1315. ((size_t*)data_ptr)[0]=data_size; data_ptr+=sizeof(size_t);
  1316. ((size_t*)data_ptr)[0]= M_dim0; data_ptr+=sizeof(size_t);
  1317. ((size_t*)data_ptr)[0]= M_dim1; data_ptr+=sizeof(size_t);
  1318. ((size_t*)data_ptr)[0]= dof; data_ptr+=sizeof(size_t);
  1319. ((size_t*)data_ptr)[0]=interac_blk.size(); data_ptr+=sizeof(size_t);
  1320. mem::memcopy(data_ptr, &interac_blk[0], interac_blk.size()*sizeof(size_t));
  1321. data_ptr+=interac_blk.size()*sizeof(size_t);
  1322. ((size_t*)data_ptr)[0]=interac_cnt.size(); data_ptr+=sizeof(size_t);
  1323. mem::memcopy(data_ptr, &interac_cnt[0], interac_cnt.size()*sizeof(size_t));
  1324. data_ptr+=interac_cnt.size()*sizeof(size_t);
  1325. ((size_t*)data_ptr)[0]=interac_mat.size(); data_ptr+=sizeof(size_t);
  1326. mem::memcopy(data_ptr, &interac_mat[0], interac_mat.size()*sizeof(size_t));
  1327. data_ptr+=interac_mat.size()*sizeof(size_t);
  1328. ((size_t*)data_ptr)[0]= input_perm.size(); data_ptr+=sizeof(size_t);
  1329. mem::memcopy(data_ptr, & input_perm[0], input_perm.size()*sizeof(size_t));
  1330. data_ptr+= input_perm.size()*sizeof(size_t);
  1331. ((size_t*)data_ptr)[0]=output_perm.size(); data_ptr+=sizeof(size_t);
  1332. mem::memcopy(data_ptr, &output_perm[0], output_perm.size()*sizeof(size_t));
  1333. data_ptr+=output_perm.size()*sizeof(size_t);
  1334. ((size_t*)data_ptr)[0]=scaling.size(); data_ptr+=sizeof(size_t);
  1335. mem::memcopy(data_ptr, &scaling[0], scaling.size()*sizeof(Real_t));
  1336. data_ptr+=scaling.size()*sizeof(Real_t);
  1337. }
  1338. }
  1339. Profile::Toc();
  1340. if(device){ // Host2Device
  1341. Profile::Tic("Host2Device",&this->comm,false,25);
  1342. setup_data.interac_data .AllocDevice(true);
  1343. Profile::Toc();
  1344. }
  1345. }
  1346. template <class FMMNode>
  1347. void FMM_Pts<FMMNode>::EvalList(SetupData<Real_t>& setup_data, bool device){
  1348. if(setup_data.interac_data.Dim(0)==0 || setup_data.interac_data.Dim(1)==0){
  1349. Profile::Tic("Host2Device",&this->comm,false,25);
  1350. Profile::Toc();
  1351. Profile::Tic("DeviceComp",&this->comm,false,20);
  1352. Profile::Toc();
  1353. return;
  1354. }
  1355. Profile::Tic("Host2Device",&this->comm,false,25);
  1356. typename Vector<char>::Device buff;
  1357. typename Matrix<char>::Device precomp_data;
  1358. typename Matrix<char>::Device interac_data;
  1359. typename Matrix<Real_t>::Device input_data;
  1360. typename Matrix<Real_t>::Device output_data;
  1361. if(device){
  1362. buff = this-> dev_buffer. AllocDevice(false);
  1363. precomp_data= setup_data.precomp_data->AllocDevice(false);
  1364. interac_data= setup_data.interac_data. AllocDevice(false);
  1365. input_data = setup_data. input_data->AllocDevice(false);
  1366. output_data = setup_data. output_data->AllocDevice(false);
  1367. }else{
  1368. buff = this-> cpu_buffer;
  1369. precomp_data=*setup_data.precomp_data;
  1370. interac_data= setup_data.interac_data;
  1371. input_data =*setup_data. input_data;
  1372. output_data =*setup_data. output_data;
  1373. }
  1374. Profile::Toc();
  1375. Profile::Tic("DeviceComp",&this->comm,false,20);
  1376. int lock_idx=-1;
  1377. int wait_lock_idx=-1;
  1378. if(device) wait_lock_idx=MIC_Lock::curr_lock();
  1379. if(device) lock_idx=MIC_Lock::get_lock();
  1380. #ifdef __INTEL_OFFLOAD
  1381. #pragma offload if(device) target(mic:0) signal(&MIC_Lock::lock_vec[device?lock_idx:0])
  1382. #endif
  1383. { // Offloaded computation.
  1384. // Set interac_data.
  1385. size_t data_size, M_dim0, M_dim1, dof;
  1386. Vector<size_t> interac_blk;
  1387. Vector<size_t> interac_cnt;
  1388. Vector<size_t> interac_mat;
  1389. Vector<size_t> input_perm;
  1390. Vector<size_t> output_perm;
  1391. Vector<Real_t> scaling;
  1392. { // Set interac_data.
  1393. char* data_ptr=&interac_data[0][0];
  1394. data_size=((size_t*)data_ptr)[0]; data_ptr+=data_size;
  1395. data_size=((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  1396. M_dim0 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  1397. M_dim1 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  1398. dof =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  1399. interac_blk.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1400. data_ptr+=sizeof(size_t)+interac_blk.Dim()*sizeof(size_t);
  1401. interac_cnt.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1402. data_ptr+=sizeof(size_t)+interac_cnt.Dim()*sizeof(size_t);
  1403. interac_mat.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1404. data_ptr+=sizeof(size_t)+interac_mat.Dim()*sizeof(size_t);
  1405. input_perm .ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1406. data_ptr+=sizeof(size_t)+ input_perm.Dim()*sizeof(size_t);
  1407. output_perm.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1408. data_ptr+=sizeof(size_t)+output_perm.Dim()*sizeof(size_t);
  1409. scaling.ReInit(((size_t*)data_ptr)[0],(Real_t*)(data_ptr+sizeof(size_t)),false);
  1410. data_ptr+=sizeof(size_t)+scaling.Dim()*sizeof(Real_t);
  1411. }
  1412. if(device) MIC_Lock::wait_lock(wait_lock_idx);
  1413. //Compute interaction from Chebyshev source density.
  1414. { // interactions
  1415. int omp_p=omp_get_max_threads();
  1416. size_t interac_indx=0;
  1417. size_t interac_blk_dsp=0;
  1418. for(size_t k=0;k<interac_blk.Dim();k++){
  1419. size_t vec_cnt=0;
  1420. for(size_t j=interac_blk_dsp;j<interac_blk_dsp+interac_blk[k];j++) vec_cnt+=interac_cnt[j];
  1421. char* buff_in =&buff[0];
  1422. char* buff_out=&buff[vec_cnt*dof*M_dim0*sizeof(Real_t)];
  1423. // Input permutation.
  1424. #pragma omp parallel for
  1425. for(int tid=0;tid<omp_p;tid++){
  1426. size_t a=( tid *vec_cnt)/omp_p;
  1427. size_t b=((tid+1)*vec_cnt)/omp_p;
  1428. for(size_t i=a;i<b;i++){
  1429. const PERM_INT_T* perm=(PERM_INT_T*)(precomp_data[0]+input_perm[(interac_indx+i)*4+0]);
  1430. const Real_t* scal=( Real_t*)(precomp_data[0]+input_perm[(interac_indx+i)*4+1]);
  1431. const Real_t* v_in =( Real_t*)( input_data[0]+input_perm[(interac_indx+i)*4+3]);
  1432. Real_t* v_out=( Real_t*)( buff_in +input_perm[(interac_indx+i)*4+2]);
  1433. // TODO: Fix for dof>1
  1434. #ifdef __MIC__
  1435. {
  1436. __m512d v8;
  1437. size_t j_start=(((uintptr_t)(v_out ) + (uintptr_t)(MEM_ALIGN-1)) & ~ (uintptr_t)(MEM_ALIGN-1))-((uintptr_t)v_out);
  1438. size_t j_end =(((uintptr_t)(v_out+M_dim0) ) & ~ (uintptr_t)(MEM_ALIGN-1))-((uintptr_t)v_out);
  1439. j_start/=sizeof(Real_t);
  1440. j_end /=sizeof(Real_t);
  1441. assert(((uintptr_t)(v_out))%sizeof(Real_t)==0);
  1442. assert(((uintptr_t)(v_out+j_start))%64==0);
  1443. assert(((uintptr_t)(v_out+j_end ))%64==0);
  1444. size_t j=0;
  1445. for(;j<j_start;j++ ){
  1446. v_out[j]=v_in[perm[j]]*scal[j];
  1447. }
  1448. for(;j<j_end ;j+=8){
  1449. v8=_mm512_setr_pd(
  1450. v_in[perm[j+0]]*scal[j+0],
  1451. v_in[perm[j+1]]*scal[j+1],
  1452. v_in[perm[j+2]]*scal[j+2],
  1453. v_in[perm[j+3]]*scal[j+3],
  1454. v_in[perm[j+4]]*scal[j+4],
  1455. v_in[perm[j+5]]*scal[j+5],
  1456. v_in[perm[j+6]]*scal[j+6],
  1457. v_in[perm[j+7]]*scal[j+7]);
  1458. _mm512_storenrngo_pd(v_out+j,v8);
  1459. }
  1460. for(;j<M_dim0 ;j++ ){
  1461. v_out[j]=v_in[perm[j]]*scal[j];
  1462. }
  1463. }
  1464. #else
  1465. for(size_t j=0;j<M_dim0;j++ ){
  1466. v_out[j]=v_in[perm[j]]*scal[j];
  1467. }
  1468. #endif
  1469. }
  1470. }
  1471. size_t vec_cnt0=0;
  1472. for(size_t j=interac_blk_dsp;j<interac_blk_dsp+interac_blk[k];){
  1473. size_t vec_cnt1=0;
  1474. size_t interac_mat0=interac_mat[j];
  1475. for(;j<interac_blk_dsp+interac_blk[k] && interac_mat[j]==interac_mat0;j++) vec_cnt1+=interac_cnt[j];
  1476. Matrix<Real_t> M(M_dim0, M_dim1, (Real_t*)(precomp_data[0]+interac_mat0), false);
  1477. #ifdef __MIC__
  1478. {
  1479. Matrix<Real_t> Ms(dof*vec_cnt1, M_dim0, (Real_t*)(buff_in +M_dim0*vec_cnt0*dof*sizeof(Real_t)), false);
  1480. Matrix<Real_t> Mt(dof*vec_cnt1, M_dim1, (Real_t*)(buff_out+M_dim1*vec_cnt0*dof*sizeof(Real_t)), false);
  1481. Matrix<Real_t>::DGEMM(Mt,Ms,M);
  1482. }
  1483. #else
  1484. #pragma omp parallel for
  1485. for(int tid=0;tid<omp_p;tid++){
  1486. size_t a=(dof*vec_cnt1*(tid ))/omp_p;
  1487. size_t b=(dof*vec_cnt1*(tid+1))/omp_p;
  1488. Matrix<Real_t> Ms(b-a, M_dim0, (Real_t*)(buff_in +M_dim0*vec_cnt0*dof*sizeof(Real_t))+M_dim0*a, false);
  1489. Matrix<Real_t> Mt(b-a, M_dim1, (Real_t*)(buff_out+M_dim1*vec_cnt0*dof*sizeof(Real_t))+M_dim1*a, false);
  1490. Matrix<Real_t>::DGEMM(Mt,Ms,M);
  1491. }
  1492. #endif
  1493. vec_cnt0+=vec_cnt1;
  1494. }
  1495. // Output permutation.
  1496. #pragma omp parallel for
  1497. for(int tid=0;tid<omp_p;tid++){
  1498. size_t a=( tid *vec_cnt)/omp_p;
  1499. size_t b=((tid+1)*vec_cnt)/omp_p;
  1500. if(tid> 0 && a<vec_cnt){ // Find 'a' independent of other threads.
  1501. size_t out_ptr=output_perm[(interac_indx+a)*4+3];
  1502. if(tid> 0) while(a<vec_cnt && out_ptr==output_perm[(interac_indx+a)*4+3]) a++;
  1503. }
  1504. if(tid<omp_p-1 && b<vec_cnt){ // Find 'b' independent of other threads.
  1505. size_t out_ptr=output_perm[(interac_indx+b)*4+3];
  1506. if(tid<omp_p-1) while(b<vec_cnt && out_ptr==output_perm[(interac_indx+b)*4+3]) b++;
  1507. }
  1508. for(size_t i=a;i<b;i++){ // Compute permutations.
  1509. Real_t scaling_factor=scaling[interac_indx+i];
  1510. const PERM_INT_T* perm=(PERM_INT_T*)(precomp_data[0]+output_perm[(interac_indx+i)*4+0]);
  1511. const Real_t* scal=( Real_t*)(precomp_data[0]+output_perm[(interac_indx+i)*4+1]);
  1512. const Real_t* v_in =( Real_t*)( buff_out +output_perm[(interac_indx+i)*4+2]);
  1513. Real_t* v_out=( Real_t*)( output_data[0]+output_perm[(interac_indx+i)*4+3]);
  1514. // TODO: Fix for dof>1
  1515. #ifdef __MIC__
  1516. {
  1517. __m512d v8;
  1518. __m512d v_old;
  1519. size_t j_start=(((uintptr_t)(v_out ) + (uintptr_t)(MEM_ALIGN-1)) & ~ (uintptr_t)(MEM_ALIGN-1))-((uintptr_t)v_out);
  1520. size_t j_end =(((uintptr_t)(v_out+M_dim1) ) & ~ (uintptr_t)(MEM_ALIGN-1))-((uintptr_t)v_out);
  1521. j_start/=sizeof(Real_t);
  1522. j_end /=sizeof(Real_t);
  1523. assert(((uintptr_t)(v_out))%sizeof(Real_t)==0);
  1524. assert(((uintptr_t)(v_out+j_start))%64==0);
  1525. assert(((uintptr_t)(v_out+j_end ))%64==0);
  1526. size_t j=0;
  1527. for(;j<j_start;j++ ){
  1528. v_out[j]+=v_in[perm[j]]*scal[j]*scaling_factor;
  1529. }
  1530. for(;j<j_end ;j+=8){
  1531. v_old=_mm512_load_pd(v_out+j);
  1532. v8=_mm512_setr_pd(
  1533. v_in[perm[j+0]]*scal[j+0]*scaling_factor,
  1534. v_in[perm[j+1]]*scal[j+1]*scaling_factor,
  1535. v_in[perm[j+2]]*scal[j+2]*scaling_factor,
  1536. v_in[perm[j+3]]*scal[j+3]*scaling_factor,
  1537. v_in[perm[j+4]]*scal[j+4]*scaling_factor,
  1538. v_in[perm[j+5]]*scal[j+5]*scaling_factor,
  1539. v_in[perm[j+6]]*scal[j+6]*scaling_factor,
  1540. v_in[perm[j+7]]*scal[j+7]*scaling_factor);
  1541. v_old=_mm512_add_pd(v_old, v8);
  1542. _mm512_storenrngo_pd(v_out+j,v_old);
  1543. }
  1544. for(;j<M_dim1 ;j++ ){
  1545. v_out[j]+=v_in[perm[j]]*scal[j]*scaling_factor;
  1546. }
  1547. }
  1548. #else
  1549. for(size_t j=0;j<M_dim1;j++ ){
  1550. v_out[j]+=v_in[perm[j]]*scal[j]*scaling_factor;
  1551. }
  1552. #endif
  1553. }
  1554. }
  1555. interac_indx+=vec_cnt;
  1556. interac_blk_dsp+=interac_blk[k];
  1557. }
  1558. }
  1559. if(device) MIC_Lock::release_lock(lock_idx);
  1560. }
  1561. #ifndef __MIC_ASYNCH__
  1562. #ifdef __INTEL_OFFLOAD
  1563. #pragma offload if(device) target(mic:0)
  1564. {if(device) MIC_Lock::wait_lock(lock_idx);}
  1565. #endif
  1566. #endif
  1567. Profile::Toc();
  1568. }
  1569. template <class FMMNode>
  1570. void FMM_Pts<FMMNode>::Source2UpSetup(SetupData<Real_t>& setup_data, std::vector<Matrix<Real_t> >& buff, std::vector<Vector<FMMNode_t*> >& n_list, int level, bool device){
  1571. if(this->MultipoleOrder()==0) return;
  1572. { // Set setup_data
  1573. setup_data.level=level;
  1574. setup_data.kernel=&aux_kernel;
  1575. setup_data.interac_type.resize(1);
  1576. setup_data.interac_type[0]=S2U_Type;
  1577. setup_data. input_data=&buff[4];
  1578. setup_data.output_data=&buff[0];
  1579. setup_data. coord_data=&buff[6];
  1580. Vector<FMMNode_t*>& nodes_in =n_list[4];
  1581. Vector<FMMNode_t*>& nodes_out=n_list[0];
  1582. setup_data.nodes_in .clear();
  1583. setup_data.nodes_out.clear();
  1584. for(size_t i=0;i<nodes_in .Dim();i++) if(nodes_in [i]->Depth()==level || level==-1) setup_data.nodes_in .push_back(nodes_in [i]);
  1585. for(size_t i=0;i<nodes_out.Dim();i++) if(nodes_out[i]->Depth()==level || level==-1) setup_data.nodes_out.push_back(nodes_out[i]);
  1586. }
  1587. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  1588. std::vector<void*>& nodes_out=setup_data.nodes_out;
  1589. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  1590. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  1591. for(size_t i=0;i<nodes_in .size();i++){
  1592. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_coord);
  1593. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_value);
  1594. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_coord);
  1595. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_value);
  1596. }
  1597. for(size_t i=0;i<nodes_out.size();i++){
  1598. output_vector.push_back(&upwd_check_surf[((FMMNode*)nodes_out[i])->Depth()]);
  1599. output_vector.push_back(&((FMMData*)((FMMNode*)nodes_out[i])->FMMData())->upward_equiv);
  1600. }
  1601. //Upward check to upward equivalent matrix.
  1602. Matrix<Real_t>& M_uc2ue = this->mat->Mat(level, UC2UE_Type, 0);
  1603. this->SetupInteracPts(setup_data, false, true, &M_uc2ue,device);
  1604. { // Resize device buffer
  1605. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  1606. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  1607. }
  1608. }
  1609. template <class FMMNode>
  1610. void FMM_Pts<FMMNode>::Source2Up(SetupData<Real_t>& setup_data, bool device){
  1611. //Add Source2Up contribution.
  1612. this->EvalListPts(setup_data, device);
  1613. }
  1614. template <class FMMNode>
  1615. void FMM_Pts<FMMNode>::Up2UpSetup(SetupData<Real_t>& setup_data, std::vector<Matrix<Real_t> >& buff, std::vector<Vector<FMMNode_t*> >& n_list, int level, bool device){
  1616. if(this->MultipoleOrder()==0) return;
  1617. { // Set setup_data
  1618. setup_data.level=level;
  1619. setup_data.kernel=&aux_kernel;
  1620. setup_data.interac_type.resize(1);
  1621. setup_data.interac_type[0]=U2U_Type;
  1622. setup_data. input_data=&buff[0];
  1623. setup_data.output_data=&buff[0];
  1624. Vector<FMMNode_t*>& nodes_in =n_list[0];
  1625. Vector<FMMNode_t*>& nodes_out=n_list[0];
  1626. setup_data.nodes_in .clear();
  1627. setup_data.nodes_out.clear();
  1628. for(size_t i=0;i<nodes_in .Dim();i++) if(nodes_in [i]->Depth()==level+1) setup_data.nodes_in .push_back(nodes_in [i]);
  1629. for(size_t i=0;i<nodes_out.Dim();i++) if(nodes_out[i]->Depth()==level ) setup_data.nodes_out.push_back(nodes_out[i]);
  1630. }
  1631. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  1632. std::vector<void*>& nodes_out=setup_data.nodes_out;
  1633. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  1634. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  1635. for(size_t i=0;i<nodes_in .size();i++) input_vector.push_back(&((FMMData*)((FMMNode*)nodes_in [i])->FMMData())->upward_equiv);
  1636. for(size_t i=0;i<nodes_out.size();i++) output_vector.push_back(&((FMMData*)((FMMNode*)nodes_out[i])->FMMData())->upward_equiv);
  1637. SetupInterac(setup_data,device);
  1638. }
  1639. template <class FMMNode>
  1640. void FMM_Pts<FMMNode>::Up2Up (SetupData<Real_t>& setup_data, bool device){
  1641. //Add Up2Up contribution.
  1642. EvalList(setup_data, device);
  1643. }
  1644. template <class FMMNode>
  1645. void FMM_Pts<FMMNode>::PeriodicBC(FMMNode* node){
  1646. if(this->MultipoleOrder()==0) return;
  1647. Matrix<Real_t>& M = Precomp(0, BC_Type, 0);
  1648. assert(node->FMMData()->upward_equiv.Dim()>0);
  1649. int dof=1;
  1650. Vector<Real_t>& upward_equiv=node->FMMData()->upward_equiv;
  1651. Vector<Real_t>& dnward_equiv=node->FMMData()->dnward_equiv;
  1652. assert(upward_equiv.Dim()==M.Dim(0)*dof);
  1653. assert(dnward_equiv.Dim()==M.Dim(1)*dof);
  1654. Matrix<Real_t> d_equiv(dof,M.Dim(0),&dnward_equiv[0],false);
  1655. Matrix<Real_t> u_equiv(dof,M.Dim(1),&upward_equiv[0],false);
  1656. Matrix<Real_t>::DGEMM(d_equiv,u_equiv,M);
  1657. }
  1658. template <class FMMNode>
  1659. void FMM_Pts<FMMNode>::FFT_UpEquiv(size_t dof, size_t m, size_t ker_dim0, Vector<size_t>& fft_vec,
  1660. Vector<Real_t>& input_data, Vector<Real_t>& output_data, Vector<Real_t>& buffer_){
  1661. size_t n1=m*2;
  1662. size_t n2=n1*n1;
  1663. size_t n3=n1*n2;
  1664. size_t n3_=n2*(n1/2+1);
  1665. size_t chld_cnt=1UL<<COORD_DIM;
  1666. size_t fftsize_in =2*n3_*chld_cnt*ker_dim0*dof;
  1667. int omp_p=omp_get_max_threads();
  1668. //Load permutation map.
  1669. size_t n=6*(m-1)*(m-1)+2;
  1670. static Vector<size_t> map;
  1671. { // Build map to reorder upward_equiv
  1672. size_t n_old=map.Dim();
  1673. if(n_old!=n){
  1674. Real_t c[3]={0,0,0};
  1675. Vector<Real_t> surf=surface(m, c, (Real_t)(m-1), 0);
  1676. map.Resize(surf.Dim()/COORD_DIM);
  1677. for(size_t i=0;i<map.Dim();i++)
  1678. map[i]=((size_t)(m-1-surf[i*3]+0.5))+((size_t)(m-1-surf[i*3+1]+0.5))*n1+((size_t)(m-1-surf[i*3+2]+0.5))*n2;
  1679. }
  1680. }
  1681. { // Build FFTW plan.
  1682. if(!vlist_fft_flag){
  1683. int nnn[3]={(int)n1,(int)n1,(int)n1};
  1684. void *fftw_in, *fftw_out;
  1685. fftw_in = mem::aligned_malloc<Real_t>( n3 *ker_dim0*chld_cnt);
  1686. fftw_out = mem::aligned_malloc<Real_t>(2*n3_*ker_dim0*chld_cnt);
  1687. vlist_fftplan = FFTW_t<Real_t>::fft_plan_many_dft_r2c(COORD_DIM,nnn,ker_dim0*chld_cnt,
  1688. (Real_t*)fftw_in, NULL, 1, n3, (typename FFTW_t<Real_t>::cplx*)(fftw_out),NULL, 1, n3_, FFTW_ESTIMATE);
  1689. mem::aligned_free<Real_t>((Real_t*)fftw_in );
  1690. mem::aligned_free<Real_t>((Real_t*)fftw_out);
  1691. vlist_fft_flag=true;
  1692. }
  1693. }
  1694. { // Offload section
  1695. size_t n_in = fft_vec.Dim();
  1696. #pragma omp parallel for
  1697. for(int pid=0; pid<omp_p; pid++){
  1698. size_t node_start=(n_in*(pid ))/omp_p;
  1699. size_t node_end =(n_in*(pid+1))/omp_p;
  1700. Vector<Real_t> buffer(fftsize_in, &buffer_[fftsize_in*pid], false);
  1701. for(size_t node_idx=node_start; node_idx<node_end; node_idx++){
  1702. Vector<Real_t*> upward_equiv(chld_cnt);
  1703. for(size_t i=0;i<chld_cnt;i++) upward_equiv[i]=&input_data[0] + fft_vec[node_idx] + n*ker_dim0*dof*i;
  1704. Vector<Real_t> upward_equiv_fft(fftsize_in, &output_data[fftsize_in *node_idx], false);
  1705. upward_equiv_fft.SetZero();
  1706. // Rearrange upward equivalent data.
  1707. for(size_t k=0;k<n;k++){
  1708. size_t idx=map[k];
  1709. for(int j1=0;j1<dof;j1++)
  1710. for(int j0=0;j0<(int)chld_cnt;j0++)
  1711. for(int i=0;i<ker_dim0;i++)
  1712. upward_equiv_fft[idx+(j0+(i+j1*ker_dim0)*chld_cnt)*n3]=upward_equiv[j0][ker_dim0*(n*j1+k)+i];
  1713. }
  1714. // Compute FFT.
  1715. for(int i=0;i<dof;i++)
  1716. FFTW_t<Real_t>::fft_execute_dft_r2c(vlist_fftplan, (Real_t*)&upward_equiv_fft[i* n3 *ker_dim0*chld_cnt],
  1717. (typename FFTW_t<Real_t>::cplx*)&buffer [i*2*n3_*ker_dim0*chld_cnt]);
  1718. //Compute flops.
  1719. #ifndef FFTW3_MKL
  1720. double add, mul, fma;
  1721. FFTW_t<Real_t>::fftw_flops(vlist_fftplan, &add, &mul, &fma);
  1722. #ifndef __INTEL_OFFLOAD0
  1723. Profile::Add_FLOP((long long)(add+mul+2*fma));
  1724. #endif
  1725. #endif
  1726. for(int i=0;i<ker_dim0*dof;i++)
  1727. for(size_t j=0;j<n3_;j++)
  1728. for(size_t k=0;k<chld_cnt;k++){
  1729. upward_equiv_fft[2*(chld_cnt*(n3_*i+j)+k)+0]=buffer[2*(n3_*(chld_cnt*i+k)+j)+0];
  1730. upward_equiv_fft[2*(chld_cnt*(n3_*i+j)+k)+1]=buffer[2*(n3_*(chld_cnt*i+k)+j)+1];
  1731. }
  1732. }
  1733. }
  1734. }
  1735. }
  1736. template <class FMMNode>
  1737. void FMM_Pts<FMMNode>::FFT_Check2Equiv(size_t dof, size_t m, size_t ker_dim1, Vector<size_t>& ifft_vec,
  1738. Vector<Real_t>& input_data, Vector<Real_t>& output_data, Vector<Real_t>& buffer_, Matrix<Real_t>& M){
  1739. size_t n1=m*2;
  1740. size_t n2=n1*n1;
  1741. size_t n3=n1*n2;
  1742. size_t n3_=n2*(n1/2+1);
  1743. size_t chld_cnt=1UL<<COORD_DIM;
  1744. size_t fftsize_out=2*n3_*dof*ker_dim1*chld_cnt;
  1745. int omp_p=omp_get_max_threads();
  1746. //Load permutation map.
  1747. size_t n=6*(m-1)*(m-1)+2;
  1748. static Vector<size_t> map;
  1749. { // Build map to reorder dnward_check
  1750. size_t n_old=map.Dim();
  1751. if(n_old!=n){
  1752. Real_t c[3]={0,0,0};
  1753. Vector<Real_t> surf=surface(m, c, (Real_t)(m-1), 0);
  1754. map.Resize(surf.Dim()/COORD_DIM);
  1755. for(size_t i=0;i<map.Dim();i++)
  1756. map[i]=((size_t)(m*2-0.5-surf[i*3]))+((size_t)(m*2-0.5-surf[i*3+1]))*n1+((size_t)(m*2-0.5-surf[i*3+2]))*n2;
  1757. //map;//.AllocDevice(true);
  1758. }
  1759. }
  1760. { // Build FFTW plan.
  1761. if(!vlist_ifft_flag){
  1762. //Build FFTW plan.
  1763. int nnn[3]={(int)n1,(int)n1,(int)n1};
  1764. Real_t *fftw_in, *fftw_out;
  1765. fftw_in = mem::aligned_malloc<Real_t>(2*n3_*ker_dim1*chld_cnt);
  1766. fftw_out = mem::aligned_malloc<Real_t>( n3 *ker_dim1*chld_cnt);
  1767. vlist_ifftplan = FFTW_t<Real_t>::fft_plan_many_dft_c2r(COORD_DIM,nnn,ker_dim1*chld_cnt,
  1768. (typename FFTW_t<Real_t>::cplx*)fftw_in, NULL, 1, n3_, (Real_t*)(fftw_out),NULL, 1, n3, FFTW_ESTIMATE);
  1769. mem::aligned_free<Real_t>(fftw_in);
  1770. mem::aligned_free<Real_t>(fftw_out);
  1771. vlist_ifft_flag=true;
  1772. }
  1773. }
  1774. { // Offload section
  1775. size_t n_out=ifft_vec.Dim();
  1776. #pragma omp parallel for
  1777. for(int pid=0; pid<omp_p; pid++){
  1778. size_t node_start=(n_out*(pid ))/omp_p;
  1779. size_t node_end =(n_out*(pid+1))/omp_p;
  1780. Vector<Real_t> buffer(fftsize_out, &buffer_[fftsize_out*pid], false);
  1781. for(size_t node_idx=node_start; node_idx<node_end; node_idx++){
  1782. Vector<Real_t> dnward_check_fft(fftsize_out, &input_data[fftsize_out*node_idx], false);
  1783. //De-interleave data.
  1784. for(int i=0;i<ker_dim1*dof;i++)
  1785. for(size_t j=0;j<n3_;j++)
  1786. for(size_t k=0;k<chld_cnt;k++){
  1787. buffer[2*(n3_*(ker_dim1*dof*k+i)+j)+0]=dnward_check_fft[2*(chld_cnt*(n3_*i+j)+k)+0];
  1788. buffer[2*(n3_*(ker_dim1*dof*k+i)+j)+1]=dnward_check_fft[2*(chld_cnt*(n3_*i+j)+k)+1];
  1789. }
  1790. // Compute FFT.
  1791. for(int i=0;i<dof;i++)
  1792. FFTW_t<Real_t>::fft_execute_dft_c2r(vlist_ifftplan, (typename FFTW_t<Real_t>::cplx*)&buffer [i*2*n3_*ker_dim1*chld_cnt],
  1793. (Real_t*)&dnward_check_fft[i* n3 *ker_dim1*chld_cnt]);
  1794. //Compute flops.
  1795. #ifndef FFTW3_MKL
  1796. double add, mul, fma;
  1797. FFTW_t<Real_t>::fftw_flops(vlist_ifftplan, &add, &mul, &fma);
  1798. #ifndef __INTEL_OFFLOAD0
  1799. Profile::Add_FLOP((long long)(add+mul+2*fma));
  1800. #endif
  1801. #endif
  1802. // Rearrange downward check data.
  1803. for(size_t k=0;k<n;k++){
  1804. size_t idx=map[k];
  1805. for(int j1=0;j1<dof;j1++)
  1806. for(int j0=0;j0<(int)chld_cnt;j0++)
  1807. for(int i=0;i<ker_dim1;i++)
  1808. buffer[ker_dim1*(n*(dof*j0+j1)+k)+i]=dnward_check_fft[idx+(j1+(i+j0*ker_dim1)*dof)*n3];
  1809. }
  1810. // Compute check to equiv.
  1811. for(size_t j=0;j<chld_cnt;j++){
  1812. Matrix<Real_t> d_check(dof,M.Dim(0),&buffer[n*ker_dim1*dof*j],false);
  1813. Matrix<Real_t> d_equiv(dof,M.Dim(1),&output_data[0] + ifft_vec[node_idx] + M.Dim(1)*dof*j,false);
  1814. Matrix<Real_t>::DGEMM(d_equiv,d_check,M,1.0);
  1815. }
  1816. }
  1817. }
  1818. }
  1819. }
  1820. template<class Real_t>
  1821. inline void matmult_8x8x2(Real_t*& M_, Real_t*& IN0, Real_t*& IN1, Real_t*& OUT0, Real_t*& OUT1){
  1822. // Generic code.
  1823. Real_t out_reg000, out_reg001, out_reg010, out_reg011;
  1824. Real_t out_reg100, out_reg101, out_reg110, out_reg111;
  1825. Real_t in_reg000, in_reg001, in_reg010, in_reg011;
  1826. Real_t in_reg100, in_reg101, in_reg110, in_reg111;
  1827. Real_t m_reg000, m_reg001, m_reg010, m_reg011;
  1828. Real_t m_reg100, m_reg101, m_reg110, m_reg111;
  1829. //#pragma unroll
  1830. for(int i1=0;i1<8;i1+=2){
  1831. Real_t* IN0_=IN0;
  1832. Real_t* IN1_=IN1;
  1833. out_reg000=OUT0[ 0]; out_reg001=OUT0[ 1];
  1834. out_reg010=OUT0[ 2]; out_reg011=OUT0[ 3];
  1835. out_reg100=OUT1[ 0]; out_reg101=OUT1[ 1];
  1836. out_reg110=OUT1[ 2]; out_reg111=OUT1[ 3];
  1837. //#pragma unroll
  1838. for(int i2=0;i2<8;i2+=2){
  1839. m_reg000=M_[ 0]; m_reg001=M_[ 1];
  1840. m_reg010=M_[ 2]; m_reg011=M_[ 3];
  1841. m_reg100=M_[16]; m_reg101=M_[17];
  1842. m_reg110=M_[18]; m_reg111=M_[19];
  1843. in_reg000=IN0_[0]; in_reg001=IN0_[1];
  1844. in_reg010=IN0_[2]; in_reg011=IN0_[3];
  1845. in_reg100=IN1_[0]; in_reg101=IN1_[1];
  1846. in_reg110=IN1_[2]; in_reg111=IN1_[3];
  1847. out_reg000 += m_reg000*in_reg000 - m_reg001*in_reg001;
  1848. out_reg001 += m_reg000*in_reg001 + m_reg001*in_reg000;
  1849. out_reg010 += m_reg010*in_reg000 - m_reg011*in_reg001;
  1850. out_reg011 += m_reg010*in_reg001 + m_reg011*in_reg000;
  1851. out_reg000 += m_reg100*in_reg010 - m_reg101*in_reg011;
  1852. out_reg001 += m_reg100*in_reg011 + m_reg101*in_reg010;
  1853. out_reg010 += m_reg110*in_reg010 - m_reg111*in_reg011;
  1854. out_reg011 += m_reg110*in_reg011 + m_reg111*in_reg010;
  1855. out_reg100 += m_reg000*in_reg100 - m_reg001*in_reg101;
  1856. out_reg101 += m_reg000*in_reg101 + m_reg001*in_reg100;
  1857. out_reg110 += m_reg010*in_reg100 - m_reg011*in_reg101;
  1858. out_reg111 += m_reg010*in_reg101 + m_reg011*in_reg100;
  1859. out_reg100 += m_reg100*in_reg110 - m_reg101*in_reg111;
  1860. out_reg101 += m_reg100*in_reg111 + m_reg101*in_reg110;
  1861. out_reg110 += m_reg110*in_reg110 - m_reg111*in_reg111;
  1862. out_reg111 += m_reg110*in_reg111 + m_reg111*in_reg110;
  1863. M_+=32; // Jump to (column+2).
  1864. IN0_+=4;
  1865. IN1_+=4;
  1866. }
  1867. OUT0[ 0]=out_reg000; OUT0[ 1]=out_reg001;
  1868. OUT0[ 2]=out_reg010; OUT0[ 3]=out_reg011;
  1869. OUT1[ 0]=out_reg100; OUT1[ 1]=out_reg101;
  1870. OUT1[ 2]=out_reg110; OUT1[ 3]=out_reg111;
  1871. M_+=4-64*2; // Jump back to first column (row+2).
  1872. OUT0+=4;
  1873. OUT1+=4;
  1874. }
  1875. }
  1876. #if defined(__AVX__) || defined(__SSE3__)
  1877. template<>
  1878. inline void matmult_8x8x2<double>(double*& M_, double*& IN0, double*& IN1, double*& OUT0, double*& OUT1){
  1879. #ifdef __AVX__ //AVX code.
  1880. __m256d out00,out01,out10,out11;
  1881. __m256d out20,out21,out30,out31;
  1882. double* in0__ = IN0;
  1883. double* in1__ = IN1;
  1884. out00 = _mm256_load_pd(OUT0);
  1885. out01 = _mm256_load_pd(OUT1);
  1886. out10 = _mm256_load_pd(OUT0+4);
  1887. out11 = _mm256_load_pd(OUT1+4);
  1888. out20 = _mm256_load_pd(OUT0+8);
  1889. out21 = _mm256_load_pd(OUT1+8);
  1890. out30 = _mm256_load_pd(OUT0+12);
  1891. out31 = _mm256_load_pd(OUT1+12);
  1892. for(int i2=0;i2<8;i2+=2){
  1893. __m256d m00;
  1894. __m256d ot00;
  1895. __m256d mt0,mtt0;
  1896. __m256d in00,in00_r,in01,in01_r;
  1897. in00 = _mm256_broadcast_pd((const __m128d*)in0__);
  1898. in00_r = _mm256_permute_pd(in00,5);
  1899. in01 = _mm256_broadcast_pd((const __m128d*)in1__);
  1900. in01_r = _mm256_permute_pd(in01,5);
  1901. m00 = _mm256_load_pd(M_);
  1902. mt0 = _mm256_unpacklo_pd(m00,m00);
  1903. ot00 = _mm256_mul_pd(mt0,in00);
  1904. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1905. out00 = _mm256_add_pd(out00,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1906. ot00 = _mm256_mul_pd(mt0,in01);
  1907. out01 = _mm256_add_pd(out01,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1908. m00 = _mm256_load_pd(M_+4);
  1909. mt0 = _mm256_unpacklo_pd(m00,m00);
  1910. ot00 = _mm256_mul_pd(mt0,in00);
  1911. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1912. out10 = _mm256_add_pd(out10,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1913. ot00 = _mm256_mul_pd(mt0,in01);
  1914. out11 = _mm256_add_pd(out11,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1915. m00 = _mm256_load_pd(M_+8);
  1916. mt0 = _mm256_unpacklo_pd(m00,m00);
  1917. ot00 = _mm256_mul_pd(mt0,in00);
  1918. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1919. out20 = _mm256_add_pd(out20,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1920. ot00 = _mm256_mul_pd(mt0,in01);
  1921. out21 = _mm256_add_pd(out21,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1922. m00 = _mm256_load_pd(M_+12);
  1923. mt0 = _mm256_unpacklo_pd(m00,m00);
  1924. ot00 = _mm256_mul_pd(mt0,in00);
  1925. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1926. out30 = _mm256_add_pd(out30,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1927. ot00 = _mm256_mul_pd(mt0,in01);
  1928. out31 = _mm256_add_pd(out31,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1929. in00 = _mm256_broadcast_pd((const __m128d*) (in0__+2));
  1930. in00_r = _mm256_permute_pd(in00,5);
  1931. in01 = _mm256_broadcast_pd((const __m128d*) (in1__+2));
  1932. in01_r = _mm256_permute_pd(in01,5);
  1933. m00 = _mm256_load_pd(M_+16);
  1934. mt0 = _mm256_unpacklo_pd(m00,m00);
  1935. ot00 = _mm256_mul_pd(mt0,in00);
  1936. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1937. out00 = _mm256_add_pd(out00,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1938. ot00 = _mm256_mul_pd(mt0,in01);
  1939. out01 = _mm256_add_pd(out01,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1940. m00 = _mm256_load_pd(M_+20);
  1941. mt0 = _mm256_unpacklo_pd(m00,m00);
  1942. ot00 = _mm256_mul_pd(mt0,in00);
  1943. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1944. out10 = _mm256_add_pd(out10,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1945. ot00 = _mm256_mul_pd(mt0,in01);
  1946. out11 = _mm256_add_pd(out11,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1947. m00 = _mm256_load_pd(M_+24);
  1948. mt0 = _mm256_unpacklo_pd(m00,m00);
  1949. ot00 = _mm256_mul_pd(mt0,in00);
  1950. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1951. out20 = _mm256_add_pd(out20,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1952. ot00 = _mm256_mul_pd(mt0,in01);
  1953. out21 = _mm256_add_pd(out21,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1954. m00 = _mm256_load_pd(M_+28);
  1955. mt0 = _mm256_unpacklo_pd(m00,m00);
  1956. ot00 = _mm256_mul_pd(mt0,in00);
  1957. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1958. out30 = _mm256_add_pd(out30,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1959. ot00 = _mm256_mul_pd(mt0,in01);
  1960. out31 = _mm256_add_pd(out31,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1961. M_ += 32;
  1962. in0__ += 4;
  1963. in1__ += 4;
  1964. }
  1965. _mm256_store_pd(OUT0,out00);
  1966. _mm256_store_pd(OUT1,out01);
  1967. _mm256_store_pd(OUT0+4,out10);
  1968. _mm256_store_pd(OUT1+4,out11);
  1969. _mm256_store_pd(OUT0+8,out20);
  1970. _mm256_store_pd(OUT1+8,out21);
  1971. _mm256_store_pd(OUT0+12,out30);
  1972. _mm256_store_pd(OUT1+12,out31);
  1973. #elif defined __SSE3__ // SSE code.
  1974. __m128d out00, out01, out10, out11;
  1975. __m128d in00, in01, in10, in11;
  1976. __m128d m00, m01, m10, m11;
  1977. //#pragma unroll
  1978. for(int i1=0;i1<8;i1+=2){
  1979. double* IN0_=IN0;
  1980. double* IN1_=IN1;
  1981. out00 =_mm_load_pd (OUT0 );
  1982. out10 =_mm_load_pd (OUT0+2);
  1983. out01 =_mm_load_pd (OUT1 );
  1984. out11 =_mm_load_pd (OUT1+2);
  1985. //#pragma unroll
  1986. for(int i2=0;i2<8;i2+=2){
  1987. m00 =_mm_load1_pd (M_ );
  1988. m10 =_mm_load1_pd (M_+ 2);
  1989. m01 =_mm_load1_pd (M_+16);
  1990. m11 =_mm_load1_pd (M_+18);
  1991. in00 =_mm_load_pd (IN0_ );
  1992. in10 =_mm_load_pd (IN0_+2);
  1993. in01 =_mm_load_pd (IN1_ );
  1994. in11 =_mm_load_pd (IN1_+2);
  1995. out00 = _mm_add_pd (out00, _mm_mul_pd(m00 , in00 ));
  1996. out00 = _mm_add_pd (out00, _mm_mul_pd(m01 , in10 ));
  1997. out01 = _mm_add_pd (out01, _mm_mul_pd(m00 , in01 ));
  1998. out01 = _mm_add_pd (out01, _mm_mul_pd(m01 , in11 ));
  1999. out10 = _mm_add_pd (out10, _mm_mul_pd(m10 , in00 ));
  2000. out10 = _mm_add_pd (out10, _mm_mul_pd(m11 , in10 ));
  2001. out11 = _mm_add_pd (out11, _mm_mul_pd(m10 , in01 ));
  2002. out11 = _mm_add_pd (out11, _mm_mul_pd(m11 , in11 ));
  2003. m00 =_mm_load1_pd (M_+ 1);
  2004. m10 =_mm_load1_pd (M_+ 2+1);
  2005. m01 =_mm_load1_pd (M_+16+1);
  2006. m11 =_mm_load1_pd (M_+18+1);
  2007. in00 =_mm_shuffle_pd (in00,in00,_MM_SHUFFLE2(0,1));
  2008. in01 =_mm_shuffle_pd (in01,in01,_MM_SHUFFLE2(0,1));
  2009. in10 =_mm_shuffle_pd (in10,in10,_MM_SHUFFLE2(0,1));
  2010. in11 =_mm_shuffle_pd (in11,in11,_MM_SHUFFLE2(0,1));
  2011. out00 = _mm_addsub_pd(out00, _mm_mul_pd(m00, in00));
  2012. out00 = _mm_addsub_pd(out00, _mm_mul_pd(m01, in10));
  2013. out01 = _mm_addsub_pd(out01, _mm_mul_pd(m00, in01));
  2014. out01 = _mm_addsub_pd(out01, _mm_mul_pd(m01, in11));
  2015. out10 = _mm_addsub_pd(out10, _mm_mul_pd(m10, in00));
  2016. out10 = _mm_addsub_pd(out10, _mm_mul_pd(m11, in10));
  2017. out11 = _mm_addsub_pd(out11, _mm_mul_pd(m10, in01));
  2018. out11 = _mm_addsub_pd(out11, _mm_mul_pd(m11, in11));
  2019. M_+=32; // Jump to (column+2).
  2020. IN0_+=4;
  2021. IN1_+=4;
  2022. }
  2023. _mm_store_pd (OUT0 ,out00);
  2024. _mm_store_pd (OUT0+2,out10);
  2025. _mm_store_pd (OUT1 ,out01);
  2026. _mm_store_pd (OUT1+2,out11);
  2027. M_+=4-64*2; // Jump back to first column (row+2).
  2028. OUT0+=4;
  2029. OUT1+=4;
  2030. }
  2031. #endif
  2032. }
  2033. #endif
  2034. #if defined(__SSE3__)
  2035. template<>
  2036. inline void matmult_8x8x2<float>(float*& M_, float*& IN0, float*& IN1, float*& OUT0, float*& OUT1){
  2037. #if defined __SSE3__ // SSE code.
  2038. __m128 out00,out01,out10,out11;
  2039. __m128 out20,out21,out30,out31;
  2040. float* in0__ = IN0;
  2041. float* in1__ = IN1;
  2042. out00 = _mm_load_ps(OUT0);
  2043. out01 = _mm_load_ps(OUT1);
  2044. out10 = _mm_load_ps(OUT0+4);
  2045. out11 = _mm_load_ps(OUT1+4);
  2046. out20 = _mm_load_ps(OUT0+8);
  2047. out21 = _mm_load_ps(OUT1+8);
  2048. out30 = _mm_load_ps(OUT0+12);
  2049. out31 = _mm_load_ps(OUT1+12);
  2050. for(int i2=0;i2<8;i2+=2){
  2051. __m128 m00;
  2052. __m128 ot00;
  2053. __m128 mt0,mtt0;
  2054. __m128 in00,in00_r,in01,in01_r;
  2055. in00 = _mm_castpd_ps(_mm_load_pd1((const double*)in0__));
  2056. in00_r = _mm_shuffle_ps(in00,in00,_MM_SHUFFLE(2,3,0,1));
  2057. in01 = _mm_castpd_ps(_mm_load_pd1((const double*)in1__));
  2058. in01_r = _mm_shuffle_ps(in01,in01,_MM_SHUFFLE(2,3,0,1));
  2059. m00 = _mm_load_ps(M_);
  2060. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2061. out00= _mm_add_ps (out00,_mm_mul_ps( mt0,in00 ));
  2062. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2063. out00= _mm_addsub_ps(out00,_mm_mul_ps(mtt0,in00_r));
  2064. out01 = _mm_add_ps (out01,_mm_mul_ps( mt0,in01 ));
  2065. out01 = _mm_addsub_ps(out01,_mm_mul_ps(mtt0,in01_r));
  2066. m00 = _mm_load_ps(M_+4);
  2067. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2068. out10= _mm_add_ps (out10,_mm_mul_ps( mt0,in00 ));
  2069. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2070. out10= _mm_addsub_ps(out10,_mm_mul_ps(mtt0,in00_r));
  2071. out11 = _mm_add_ps (out11,_mm_mul_ps( mt0,in01 ));
  2072. out11 = _mm_addsub_ps(out11,_mm_mul_ps(mtt0,in01_r));
  2073. m00 = _mm_load_ps(M_+8);
  2074. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2075. out20= _mm_add_ps (out20,_mm_mul_ps( mt0,in00 ));
  2076. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2077. out20= _mm_addsub_ps(out20,_mm_mul_ps(mtt0,in00_r));
  2078. out21 = _mm_add_ps (out21,_mm_mul_ps( mt0,in01 ));
  2079. out21 = _mm_addsub_ps(out21,_mm_mul_ps(mtt0,in01_r));
  2080. m00 = _mm_load_ps(M_+12);
  2081. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2082. out30= _mm_add_ps (out30,_mm_mul_ps( mt0, in00));
  2083. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2084. out30= _mm_addsub_ps(out30,_mm_mul_ps(mtt0,in00_r));
  2085. out31 = _mm_add_ps (out31,_mm_mul_ps( mt0,in01 ));
  2086. out31 = _mm_addsub_ps(out31,_mm_mul_ps(mtt0,in01_r));
  2087. in00 = _mm_castpd_ps(_mm_load_pd1((const double*) (in0__+2)));
  2088. in00_r = _mm_shuffle_ps(in00,in00,_MM_SHUFFLE(2,3,0,1));
  2089. in01 = _mm_castpd_ps(_mm_load_pd1((const double*) (in1__+2)));
  2090. in01_r = _mm_shuffle_ps(in01,in01,_MM_SHUFFLE(2,3,0,1));
  2091. m00 = _mm_load_ps(M_+16);
  2092. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2093. out00= _mm_add_ps (out00,_mm_mul_ps( mt0,in00 ));
  2094. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2095. out00= _mm_addsub_ps(out00,_mm_mul_ps(mtt0,in00_r));
  2096. out01 = _mm_add_ps (out01,_mm_mul_ps( mt0,in01 ));
  2097. out01 = _mm_addsub_ps(out01,_mm_mul_ps(mtt0,in01_r));
  2098. m00 = _mm_load_ps(M_+20);
  2099. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2100. out10= _mm_add_ps (out10,_mm_mul_ps( mt0,in00 ));
  2101. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2102. out10= _mm_addsub_ps(out10,_mm_mul_ps(mtt0,in00_r));
  2103. out11 = _mm_add_ps (out11,_mm_mul_ps( mt0,in01 ));
  2104. out11 = _mm_addsub_ps(out11,_mm_mul_ps(mtt0,in01_r));
  2105. m00 = _mm_load_ps(M_+24);
  2106. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2107. out20= _mm_add_ps (out20,_mm_mul_ps( mt0,in00 ));
  2108. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2109. out20= _mm_addsub_ps(out20,_mm_mul_ps(mtt0,in00_r));
  2110. out21 = _mm_add_ps (out21,_mm_mul_ps( mt0,in01 ));
  2111. out21 = _mm_addsub_ps(out21,_mm_mul_ps(mtt0,in01_r));
  2112. m00 = _mm_load_ps(M_+28);
  2113. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2114. out30= _mm_add_ps (out30,_mm_mul_ps( mt0,in00 ));
  2115. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2116. out30= _mm_addsub_ps(out30,_mm_mul_ps(mtt0,in00_r));
  2117. out31 = _mm_add_ps (out31,_mm_mul_ps( mt0,in01 ));
  2118. out31 = _mm_addsub_ps(out31,_mm_mul_ps(mtt0,in01_r));
  2119. M_ += 32;
  2120. in0__ += 4;
  2121. in1__ += 4;
  2122. }
  2123. _mm_store_ps(OUT0,out00);
  2124. _mm_store_ps(OUT1,out01);
  2125. _mm_store_ps(OUT0+4,out10);
  2126. _mm_store_ps(OUT1+4,out11);
  2127. _mm_store_ps(OUT0+8,out20);
  2128. _mm_store_ps(OUT1+8,out21);
  2129. _mm_store_ps(OUT0+12,out30);
  2130. _mm_store_ps(OUT1+12,out31);
  2131. #endif
  2132. }
  2133. #endif
  2134. template <class Real_t>
  2135. void VListHadamard(size_t dof, size_t M_dim, size_t ker_dim0, size_t ker_dim1, Vector<size_t>& interac_dsp,
  2136. Vector<size_t>& interac_vec, Vector<Real_t*>& precomp_mat, Vector<Real_t>& fft_in, Vector<Real_t>& fft_out){
  2137. size_t chld_cnt=1UL<<COORD_DIM;
  2138. size_t fftsize_in =M_dim*ker_dim0*chld_cnt*2;
  2139. size_t fftsize_out=M_dim*ker_dim1*chld_cnt*2;
  2140. Real_t* zero_vec0=mem::aligned_malloc<Real_t>(fftsize_in );
  2141. Real_t* zero_vec1=mem::aligned_malloc<Real_t>(fftsize_out);
  2142. size_t n_out=fft_out.Dim()/fftsize_out;
  2143. // Set buff_out to zero.
  2144. #pragma omp parallel for
  2145. for(size_t k=0;k<n_out;k++){
  2146. Vector<Real_t> dnward_check_fft(fftsize_out, &fft_out[k*fftsize_out], false);
  2147. dnward_check_fft.SetZero();
  2148. }
  2149. // Build list of interaction pairs (in, out vectors).
  2150. size_t mat_cnt=precomp_mat.Dim();
  2151. size_t blk1_cnt=interac_dsp.Dim()/mat_cnt;
  2152. const size_t V_BLK_SIZE=V_BLK_CACHE*64/sizeof(Real_t);
  2153. Real_t** IN_ =new Real_t*[2*V_BLK_SIZE*blk1_cnt*mat_cnt];
  2154. Real_t** OUT_=new Real_t*[2*V_BLK_SIZE*blk1_cnt*mat_cnt];
  2155. #pragma omp parallel for
  2156. for(size_t interac_blk1=0; interac_blk1<blk1_cnt*mat_cnt; interac_blk1++){
  2157. size_t interac_dsp0 = (interac_blk1==0?0:interac_dsp[interac_blk1-1]);
  2158. size_t interac_dsp1 = interac_dsp[interac_blk1 ] ;
  2159. size_t interac_cnt = interac_dsp1-interac_dsp0;
  2160. for(size_t j=0;j<interac_cnt;j++){
  2161. IN_ [2*V_BLK_SIZE*interac_blk1 +j]=&fft_in [interac_vec[(interac_dsp0+j)*2+0]];
  2162. OUT_[2*V_BLK_SIZE*interac_blk1 +j]=&fft_out[interac_vec[(interac_dsp0+j)*2+1]];
  2163. }
  2164. IN_ [2*V_BLK_SIZE*interac_blk1 +interac_cnt]=zero_vec0;
  2165. OUT_[2*V_BLK_SIZE*interac_blk1 +interac_cnt]=zero_vec1;
  2166. }
  2167. int omp_p=omp_get_max_threads();
  2168. #pragma omp parallel for
  2169. for(int pid=0; pid<omp_p; pid++){
  2170. size_t a=( pid *M_dim)/omp_p;
  2171. size_t b=((pid+1)*M_dim)/omp_p;
  2172. for(size_t blk1=0; blk1<blk1_cnt; blk1++)
  2173. for(size_t k=a; k< b; k++)
  2174. for(size_t mat_indx=0; mat_indx< mat_cnt;mat_indx++){
  2175. size_t interac_blk1 = blk1*mat_cnt+mat_indx;
  2176. size_t interac_dsp0 = (interac_blk1==0?0:interac_dsp[interac_blk1-1]);
  2177. size_t interac_dsp1 = interac_dsp[interac_blk1 ] ;
  2178. size_t interac_cnt = interac_dsp1-interac_dsp0;
  2179. Real_t** IN = IN_ + 2*V_BLK_SIZE*interac_blk1;
  2180. Real_t** OUT= OUT_+ 2*V_BLK_SIZE*interac_blk1;
  2181. Real_t* M = precomp_mat[mat_indx] + k*chld_cnt*chld_cnt*2;
  2182. #ifdef __SSE__
  2183. if (mat_indx +1 < mat_cnt){ // Prefetch
  2184. _mm_prefetch(((char *)(precomp_mat[mat_indx+1] + k*chld_cnt*chld_cnt*2)), _MM_HINT_T0);
  2185. _mm_prefetch(((char *)(precomp_mat[mat_indx+1] + k*chld_cnt*chld_cnt*2) + 64), _MM_HINT_T0);
  2186. }
  2187. #endif
  2188. for(int in_dim=0;in_dim<ker_dim0;in_dim++)
  2189. for(int ot_dim=0;ot_dim<ker_dim1;ot_dim++){
  2190. for(size_t j=0;j<interac_cnt;j+=2){
  2191. Real_t* M_ = M;
  2192. Real_t* IN0 = IN [j+0] + (in_dim*M_dim+k)*chld_cnt*2;
  2193. Real_t* IN1 = IN [j+1] + (in_dim*M_dim+k)*chld_cnt*2;
  2194. Real_t* OUT0 = OUT[j+0] + (ot_dim*M_dim+k)*chld_cnt*2;
  2195. Real_t* OUT1 = OUT[j+1] + (ot_dim*M_dim+k)*chld_cnt*2;
  2196. #ifdef __SSE__
  2197. if (j+2 < interac_cnt) { // Prefetch
  2198. _mm_prefetch(((char *)(IN[j+2] + (in_dim*M_dim+k)*chld_cnt*2)), _MM_HINT_T0);
  2199. _mm_prefetch(((char *)(IN[j+2] + (in_dim*M_dim+k)*chld_cnt*2) + 64), _MM_HINT_T0);
  2200. _mm_prefetch(((char *)(IN[j+3] + (in_dim*M_dim+k)*chld_cnt*2)), _MM_HINT_T0);
  2201. _mm_prefetch(((char *)(IN[j+3] + (in_dim*M_dim+k)*chld_cnt*2) + 64), _MM_HINT_T0);
  2202. _mm_prefetch(((char *)(OUT[j+2] + (ot_dim*M_dim+k)*chld_cnt*2)), _MM_HINT_T0);
  2203. _mm_prefetch(((char *)(OUT[j+2] + (ot_dim*M_dim+k)*chld_cnt*2) + 64), _MM_HINT_T0);
  2204. _mm_prefetch(((char *)(OUT[j+3] + (ot_dim*M_dim+k)*chld_cnt*2)), _MM_HINT_T0);
  2205. _mm_prefetch(((char *)(OUT[j+3] + (ot_dim*M_dim+k)*chld_cnt*2) + 64), _MM_HINT_T0);
  2206. }
  2207. #endif
  2208. matmult_8x8x2(M_, IN0, IN1, OUT0, OUT1);
  2209. }
  2210. M += M_dim*128;
  2211. }
  2212. }
  2213. }
  2214. // Compute flops.
  2215. {
  2216. Profile::Add_FLOP(8*8*8*(interac_vec.Dim()/2)*M_dim*ker_dim0*ker_dim1*dof);
  2217. }
  2218. // Free memory
  2219. delete[] IN_ ;
  2220. delete[] OUT_;
  2221. mem::aligned_free<Real_t>(zero_vec0);
  2222. mem::aligned_free<Real_t>(zero_vec1);
  2223. }
  2224. template <class FMMNode>
  2225. void FMM_Pts<FMMNode>::V_ListSetup(SetupData<Real_t>& setup_data, std::vector<Matrix<Real_t> >& buff, std::vector<Vector<FMMNode_t*> >& n_list, int level, bool device){
  2226. if(this->MultipoleOrder()==0) return;
  2227. if(level==0) return;
  2228. { // Set setup_data
  2229. setup_data.level=level;
  2230. setup_data.kernel=&aux_kernel;
  2231. setup_data.interac_type.resize(1);
  2232. setup_data.interac_type[0]=V1_Type;
  2233. setup_data. input_data=&buff[0];
  2234. setup_data.output_data=&buff[1];
  2235. Vector<FMMNode_t*>& nodes_in =n_list[2];
  2236. Vector<FMMNode_t*>& nodes_out=n_list[3];
  2237. setup_data.nodes_in .clear();
  2238. setup_data.nodes_out.clear();
  2239. for(size_t i=0;i<nodes_in .Dim();i++) if(nodes_in [i]->Depth()==level-1 || level==-1) setup_data.nodes_in .push_back(nodes_in [i]);
  2240. for(size_t i=0;i<nodes_out.Dim();i++) if(nodes_out[i]->Depth()==level-1 || level==-1) setup_data.nodes_out.push_back(nodes_out[i]);
  2241. }
  2242. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2243. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2244. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2245. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2246. for(size_t i=0;i<nodes_in .size();i++) input_vector.push_back(&((FMMData*)((FMMNode*)((FMMNode*)nodes_in [i])->Child(0))->FMMData())->upward_equiv);
  2247. for(size_t i=0;i<nodes_out.size();i++) output_vector.push_back(&((FMMData*)((FMMNode*)((FMMNode*)nodes_out[i])->Child(0))->FMMData())->dnward_equiv);
  2248. /////////////////////////////////////////////////////////////////////////////
  2249. size_t n_in =nodes_in .size();
  2250. size_t n_out=nodes_out.size();
  2251. // Setup precomputed data.
  2252. SetupPrecomp(setup_data,device);
  2253. // Build interac_data
  2254. Profile::Tic("Interac-Data",&this->comm,true,25);
  2255. Matrix<char>& interac_data=setup_data.interac_data;
  2256. if(n_out>0 && n_in >0){ // Build precomp_data, interac_data
  2257. size_t precomp_offset=0;
  2258. Mat_Type& interac_type=setup_data.interac_type[0];
  2259. size_t mat_cnt=this->interac_list.ListCount(interac_type);
  2260. Vector<size_t> precomp_data_offset;
  2261. std::vector<size_t> interac_mat;
  2262. { // Load precomp_data for interac_type.
  2263. Matrix<char>& precomp_data=*setup_data.precomp_data;
  2264. char* indx_ptr=precomp_data[0]+precomp_offset;
  2265. size_t total_size=((size_t*)indx_ptr)[0]; indx_ptr+=sizeof(size_t);
  2266. /*size_t mat_cnt_ =((size_t*)indx_ptr)[0];*/ indx_ptr+=sizeof(size_t);
  2267. precomp_data_offset.ReInit((1+2+2)*mat_cnt, (size_t*)indx_ptr, false);
  2268. precomp_offset+=total_size;
  2269. for(size_t mat_id=0;mat_id<mat_cnt;mat_id++){
  2270. Matrix<Real_t>& M0 = this->mat->Mat(level, interac_type, mat_id);
  2271. assert(M0.Dim(0)>0 && M0.Dim(1)>0); UNUSED(M0);
  2272. interac_mat.push_back(precomp_data_offset[5*mat_id]);
  2273. }
  2274. }
  2275. size_t dof;
  2276. size_t m=MultipoleOrder();
  2277. size_t ker_dim0=setup_data.kernel->ker_dim[0];
  2278. size_t ker_dim1=setup_data.kernel->ker_dim[1];
  2279. size_t fftsize;
  2280. {
  2281. size_t n1=m*2;
  2282. size_t n2=n1*n1;
  2283. size_t n3_=n2*(n1/2+1);
  2284. size_t chld_cnt=1UL<<COORD_DIM;
  2285. fftsize=2*n3_*chld_cnt;
  2286. dof=1;
  2287. }
  2288. int omp_p=omp_get_max_threads();
  2289. size_t buff_size=DEVICE_BUFFER_SIZE*1024l*1024l;
  2290. size_t n_blk0=2*fftsize*dof*(ker_dim0*n_in +ker_dim1*n_out)*sizeof(Real_t)/buff_size;
  2291. if(n_blk0==0) n_blk0=1;
  2292. std::vector<std::vector<size_t> > fft_vec(n_blk0);
  2293. std::vector<std::vector<size_t> > ifft_vec(n_blk0);
  2294. std::vector<std::vector<size_t> > interac_vec(n_blk0);
  2295. std::vector<std::vector<size_t> > interac_dsp(n_blk0);
  2296. {
  2297. Matrix<Real_t>& input_data=*setup_data. input_data;
  2298. Matrix<Real_t>& output_data=*setup_data.output_data;
  2299. std::vector<std::vector<FMMNode*> > nodes_blk_in (n_blk0);
  2300. std::vector<std::vector<FMMNode*> > nodes_blk_out(n_blk0);
  2301. for(size_t i=0;i<n_in;i++) ((FMMNode*)nodes_in[i])->node_id=i;
  2302. for(size_t blk0=0;blk0<n_blk0;blk0++){
  2303. size_t blk0_start=(n_out* blk0 )/n_blk0;
  2304. size_t blk0_end =(n_out*(blk0+1))/n_blk0;
  2305. std::vector<FMMNode*>& nodes_in_ =nodes_blk_in [blk0];
  2306. std::vector<FMMNode*>& nodes_out_=nodes_blk_out[blk0];
  2307. { // Build node list for blk0.
  2308. std::set<void*> nodes_in;
  2309. for(size_t i=blk0_start;i<blk0_end;i++){
  2310. nodes_out_.push_back((FMMNode*)nodes_out[i]);
  2311. std::vector<FMMNode*>& lst=((FMMNode*)nodes_out[i])->interac_list[interac_type];
  2312. for(size_t k=0;k<mat_cnt;k++) if(lst[k]!=NULL) nodes_in.insert(lst[k]);
  2313. }
  2314. for(std::set<void*>::iterator node=nodes_in.begin(); node != nodes_in.end(); node++){
  2315. nodes_in_.push_back((FMMNode*)*node);
  2316. }
  2317. size_t input_dim=nodes_in_ .size()*ker_dim0*dof*fftsize;
  2318. size_t output_dim=nodes_out_.size()*ker_dim1*dof*fftsize;
  2319. size_t buffer_dim=(ker_dim0+ker_dim1)*dof*fftsize*omp_p;
  2320. if(buff_size<(input_dim + output_dim + buffer_dim)*sizeof(Real_t))
  2321. buff_size=(input_dim + output_dim + buffer_dim)*sizeof(Real_t);
  2322. }
  2323. { // Set fft vectors.
  2324. for(size_t i=0;i<nodes_in_ .size();i++) fft_vec[blk0].push_back((size_t)(& input_vector[nodes_in_[i]->node_id][0][0]- input_data[0]));
  2325. for(size_t i=0;i<nodes_out_.size();i++)ifft_vec[blk0].push_back((size_t)(&output_vector[blk0_start + i ][0][0]-output_data[0]));
  2326. }
  2327. }
  2328. for(size_t blk0=0;blk0<n_blk0;blk0++){ // Hadamard interactions.
  2329. std::vector<FMMNode*>& nodes_in_ =nodes_blk_in [blk0];
  2330. std::vector<FMMNode*>& nodes_out_=nodes_blk_out[blk0];
  2331. for(size_t i=0;i<nodes_in_.size();i++) nodes_in_[i]->node_id=i;
  2332. { // Next blocking level.
  2333. size_t n_blk1=nodes_out_.size()*(ker_dim0+ker_dim1)*sizeof(Real_t)/(64*V_BLK_CACHE);
  2334. if(n_blk1==0) n_blk1=1;
  2335. size_t interac_dsp_=0;
  2336. for(size_t blk1=0;blk1<n_blk1;blk1++){
  2337. size_t blk1_start=(nodes_out_.size()* blk1 )/n_blk1;
  2338. size_t blk1_end =(nodes_out_.size()*(blk1+1))/n_blk1;
  2339. for(size_t k=0;k<mat_cnt;k++){
  2340. for(size_t i=blk1_start;i<blk1_end;i++){
  2341. std::vector<FMMNode*>& lst=((FMMNode*)nodes_out_[i])->interac_list[interac_type];
  2342. if(lst[k]!=NULL){
  2343. interac_vec[blk0].push_back(lst[k]->node_id*fftsize*ker_dim0*dof);
  2344. interac_vec[blk0].push_back( i *fftsize*ker_dim1*dof);
  2345. interac_dsp_++;
  2346. }
  2347. }
  2348. interac_dsp[blk0].push_back(interac_dsp_);
  2349. }
  2350. }
  2351. }
  2352. }
  2353. }
  2354. { // Set interac_data.
  2355. size_t data_size=sizeof(size_t)*5; // m, dof, ker_dim0, ker_dim1, n_blk0
  2356. for(size_t blk0=0;blk0<n_blk0;blk0++){
  2357. data_size+=sizeof(size_t)+ fft_vec[blk0].size()*sizeof(size_t);
  2358. data_size+=sizeof(size_t)+ ifft_vec[blk0].size()*sizeof(size_t);
  2359. data_size+=sizeof(size_t)+interac_vec[blk0].size()*sizeof(size_t);
  2360. data_size+=sizeof(size_t)+interac_dsp[blk0].size()*sizeof(size_t);
  2361. }
  2362. data_size+=sizeof(size_t)+interac_mat.size()*sizeof(size_t);
  2363. if(data_size>interac_data.Dim(0)*interac_data.Dim(1))
  2364. interac_data.Resize(1,data_size);
  2365. char* data_ptr=&interac_data[0][0];
  2366. ((size_t*)data_ptr)[0]=buff_size; data_ptr+=sizeof(size_t);
  2367. ((size_t*)data_ptr)[0]= m; data_ptr+=sizeof(size_t);
  2368. ((size_t*)data_ptr)[0]= dof; data_ptr+=sizeof(size_t);
  2369. ((size_t*)data_ptr)[0]= ker_dim0; data_ptr+=sizeof(size_t);
  2370. ((size_t*)data_ptr)[0]= ker_dim1; data_ptr+=sizeof(size_t);
  2371. ((size_t*)data_ptr)[0]= n_blk0; data_ptr+=sizeof(size_t);
  2372. ((size_t*)data_ptr)[0]= interac_mat.size(); data_ptr+=sizeof(size_t);
  2373. mem::memcopy(data_ptr, &interac_mat[0], interac_mat.size()*sizeof(size_t));
  2374. data_ptr+=interac_mat.size()*sizeof(size_t);
  2375. for(size_t blk0=0;blk0<n_blk0;blk0++){
  2376. ((size_t*)data_ptr)[0]= fft_vec[blk0].size(); data_ptr+=sizeof(size_t);
  2377. mem::memcopy(data_ptr, & fft_vec[blk0][0], fft_vec[blk0].size()*sizeof(size_t));
  2378. data_ptr+= fft_vec[blk0].size()*sizeof(size_t);
  2379. ((size_t*)data_ptr)[0]=ifft_vec[blk0].size(); data_ptr+=sizeof(size_t);
  2380. mem::memcopy(data_ptr, &ifft_vec[blk0][0], ifft_vec[blk0].size()*sizeof(size_t));
  2381. data_ptr+=ifft_vec[blk0].size()*sizeof(size_t);
  2382. ((size_t*)data_ptr)[0]=interac_vec[blk0].size(); data_ptr+=sizeof(size_t);
  2383. mem::memcopy(data_ptr, &interac_vec[blk0][0], interac_vec[blk0].size()*sizeof(size_t));
  2384. data_ptr+=interac_vec[blk0].size()*sizeof(size_t);
  2385. ((size_t*)data_ptr)[0]=interac_dsp[blk0].size(); data_ptr+=sizeof(size_t);
  2386. mem::memcopy(data_ptr, &interac_dsp[blk0][0], interac_dsp[blk0].size()*sizeof(size_t));
  2387. data_ptr+=interac_dsp[blk0].size()*sizeof(size_t);
  2388. }
  2389. }
  2390. }
  2391. Profile::Toc();
  2392. Profile::Tic("Host2Device",&this->comm,false,25);
  2393. if(device){ // Host2Device
  2394. setup_data.interac_data. AllocDevice(true);
  2395. }
  2396. Profile::Toc();
  2397. }
  2398. template <class FMMNode>
  2399. void FMM_Pts<FMMNode>::V_List (SetupData<Real_t>& setup_data, bool device){
  2400. assert(!device); //Can not run on accelerator yet.
  2401. int np;
  2402. MPI_Comm_size(comm,&np);
  2403. if(setup_data.interac_data.Dim(0)==0 || setup_data.interac_data.Dim(1)==0){
  2404. if(np>1) Profile::Tic("Host2Device",&this->comm,false,25);
  2405. if(np>1) Profile::Toc();
  2406. return;
  2407. }
  2408. Profile::Tic("Host2Device",&this->comm,false,25);
  2409. int level=setup_data.level;
  2410. size_t buff_size=*((size_t*)&setup_data.interac_data[0][0]);
  2411. typename Matrix<Real_t>::Device M_d;
  2412. typename Vector<char>::Device buff;
  2413. typename Matrix<char>::Device precomp_data;
  2414. typename Matrix<char>::Device interac_data;
  2415. typename Matrix<Real_t>::Device input_data;
  2416. typename Matrix<Real_t>::Device output_data;
  2417. Matrix<Real_t>& M = this->mat->Mat(level, DC2DE_Type, 0);
  2418. if(device){
  2419. if(this->dev_buffer.Dim()<buff_size) this->dev_buffer.Resize(buff_size);
  2420. M_d = M. AllocDevice(false);
  2421. buff = this-> dev_buffer. AllocDevice(false);
  2422. precomp_data= setup_data.precomp_data->AllocDevice(false);
  2423. interac_data= setup_data.interac_data. AllocDevice(false);
  2424. input_data = setup_data. input_data->AllocDevice(false);
  2425. output_data = setup_data. output_data->AllocDevice(false);
  2426. }else{
  2427. if(this->cpu_buffer.Dim()<buff_size) this->cpu_buffer.Resize(buff_size);
  2428. M_d = M;
  2429. buff = this-> cpu_buffer;
  2430. precomp_data=*setup_data.precomp_data;
  2431. interac_data= setup_data.interac_data;
  2432. input_data =*setup_data. input_data;
  2433. output_data =*setup_data. output_data;
  2434. }
  2435. Profile::Toc();
  2436. { // Offloaded computation.
  2437. // Set interac_data.
  2438. size_t m, dof, ker_dim0, ker_dim1, n_blk0;
  2439. std::vector<Vector<size_t> > fft_vec;
  2440. std::vector<Vector<size_t> > ifft_vec;
  2441. std::vector<Vector<size_t> > interac_vec;
  2442. std::vector<Vector<size_t> > interac_dsp;
  2443. Vector<Real_t*> precomp_mat;
  2444. { // Set interac_data.
  2445. char* data_ptr=&interac_data[0][0];
  2446. buff_size=((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2447. m =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2448. dof =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2449. ker_dim0 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2450. ker_dim1 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2451. n_blk0 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2452. fft_vec .resize(n_blk0);
  2453. ifft_vec.resize(n_blk0);
  2454. interac_vec.resize(n_blk0);
  2455. interac_dsp.resize(n_blk0);
  2456. Vector<size_t> interac_mat;
  2457. interac_mat.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2458. data_ptr+=sizeof(size_t)+interac_mat.Dim()*sizeof(size_t);
  2459. precomp_mat.Resize(interac_mat.Dim());
  2460. for(size_t i=0;i<interac_mat.Dim();i++){
  2461. precomp_mat[i]=(Real_t*)(precomp_data[0]+interac_mat[i]);
  2462. }
  2463. for(size_t blk0=0;blk0<n_blk0;blk0++){
  2464. fft_vec[blk0].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2465. data_ptr+=sizeof(size_t)+fft_vec[blk0].Dim()*sizeof(size_t);
  2466. ifft_vec[blk0].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2467. data_ptr+=sizeof(size_t)+ifft_vec[blk0].Dim()*sizeof(size_t);
  2468. interac_vec[blk0].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2469. data_ptr+=sizeof(size_t)+interac_vec[blk0].Dim()*sizeof(size_t);
  2470. interac_dsp[blk0].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2471. data_ptr+=sizeof(size_t)+interac_dsp[blk0].Dim()*sizeof(size_t);
  2472. }
  2473. }
  2474. int omp_p=omp_get_max_threads();
  2475. size_t M_dim, fftsize;
  2476. {
  2477. size_t n1=m*2;
  2478. size_t n2=n1*n1;
  2479. size_t n3_=n2*(n1/2+1);
  2480. size_t chld_cnt=1UL<<COORD_DIM;
  2481. fftsize=2*n3_*chld_cnt;
  2482. M_dim=n3_;
  2483. }
  2484. for(size_t blk0=0;blk0<n_blk0;blk0++){ // interactions
  2485. size_t n_in = fft_vec[blk0].Dim();
  2486. size_t n_out=ifft_vec[blk0].Dim();
  2487. size_t input_dim=n_in *ker_dim0*dof*fftsize;
  2488. size_t output_dim=n_out*ker_dim1*dof*fftsize;
  2489. size_t buffer_dim=(ker_dim0+ker_dim1)*dof*fftsize*omp_p;
  2490. Vector<Real_t> fft_in ( input_dim, (Real_t*)&buff[ 0 ],false);
  2491. Vector<Real_t> fft_out(output_dim, (Real_t*)&buff[ input_dim *sizeof(Real_t)],false);
  2492. Vector<Real_t> buffer(buffer_dim, (Real_t*)&buff[(input_dim+output_dim)*sizeof(Real_t)],false);
  2493. { // FFT
  2494. if(np==1) Profile::Tic("FFT",&comm,false,100);
  2495. Vector<Real_t> input_data_( input_data.dim[0]* input_data.dim[1], input_data[0], false);
  2496. FFT_UpEquiv(dof, m, ker_dim0, fft_vec[blk0], input_data_, fft_in, buffer);
  2497. if(np==1) Profile::Toc();
  2498. }
  2499. { // Hadamard
  2500. #ifdef PVFMM_HAVE_PAPI
  2501. #ifdef __VERBOSE__
  2502. std::cout << "Starting counters new\n";
  2503. if (PAPI_start(EventSet) != PAPI_OK) std::cout << "handle_error3" << std::endl;
  2504. #endif
  2505. #endif
  2506. if(np==1) Profile::Tic("HadamardProduct",&comm,false,100);
  2507. VListHadamard<Real_t>(dof, M_dim, ker_dim0, ker_dim1, interac_dsp[blk0], interac_vec[blk0], precomp_mat, fft_in, fft_out);
  2508. if(np==1) Profile::Toc();
  2509. #ifdef PVFMM_HAVE_PAPI
  2510. #ifdef __VERBOSE__
  2511. if (PAPI_stop(EventSet, values) != PAPI_OK) std::cout << "handle_error4" << std::endl;
  2512. std::cout << "Stopping counters\n";
  2513. #endif
  2514. #endif
  2515. }
  2516. { // IFFT
  2517. if(np==1) Profile::Tic("IFFT",&comm,false,100);
  2518. Matrix<Real_t> M(M_d.dim[0],M_d.dim[1],M_d[0],false);
  2519. Vector<Real_t> output_data_(output_data.dim[0]*output_data.dim[1], output_data[0], false);
  2520. FFT_Check2Equiv(dof, m, ker_dim1, ifft_vec[blk0], fft_out, output_data_, buffer, M);
  2521. if(np==1) Profile::Toc();
  2522. }
  2523. }
  2524. }
  2525. }
  2526. template <class FMMNode>
  2527. void FMM_Pts<FMMNode>::Down2DownSetup(SetupData<Real_t>& setup_data, std::vector<Matrix<Real_t> >& buff, std::vector<Vector<FMMNode_t*> >& n_list, int level, bool device){
  2528. if(this->MultipoleOrder()==0) return;
  2529. { // Set setup_data
  2530. setup_data.level=level;
  2531. setup_data.kernel=&aux_kernel;
  2532. setup_data.interac_type.resize(1);
  2533. setup_data.interac_type[0]=D2D_Type;
  2534. setup_data. input_data=&buff[1];
  2535. setup_data.output_data=&buff[1];
  2536. Vector<FMMNode_t*>& nodes_in =n_list[1];
  2537. Vector<FMMNode_t*>& nodes_out=n_list[1];
  2538. setup_data.nodes_in .clear();
  2539. setup_data.nodes_out.clear();
  2540. for(size_t i=0;i<nodes_in .Dim();i++) if(nodes_in [i]->Depth()==level-1) setup_data.nodes_in .push_back(nodes_in [i]);
  2541. for(size_t i=0;i<nodes_out.Dim();i++) if(nodes_out[i]->Depth()==level ) setup_data.nodes_out.push_back(nodes_out[i]);
  2542. }
  2543. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2544. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2545. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2546. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2547. for(size_t i=0;i<nodes_in .size();i++) input_vector.push_back(&((FMMData*)((FMMNode*)nodes_in [i])->FMMData())->dnward_equiv);
  2548. for(size_t i=0;i<nodes_out.size();i++) output_vector.push_back(&((FMMData*)((FMMNode*)nodes_out[i])->FMMData())->dnward_equiv);
  2549. SetupInterac(setup_data,device);
  2550. }
  2551. template <class FMMNode>
  2552. void FMM_Pts<FMMNode>::Down2Down (SetupData<Real_t>& setup_data, bool device){
  2553. //Add Down2Down contribution.
  2554. EvalList(setup_data, device);
  2555. }
  2556. template <class FMMNode>
  2557. void FMM_Pts<FMMNode>::SetupInteracPts(SetupData<Real_t>& setup_data, bool shift_src, bool shift_trg, Matrix<Real_t>* M, bool device){
  2558. int level=setup_data.level;
  2559. std::vector<Mat_Type>& interac_type_lst=setup_data.interac_type;
  2560. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2561. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2562. Matrix<Real_t>& output_data=*setup_data.output_data;
  2563. Matrix<Real_t>& input_data=*setup_data. input_data;
  2564. Matrix<Real_t>& coord_data=*setup_data. coord_data;
  2565. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector;
  2566. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector;
  2567. size_t n_in =nodes_in .size();
  2568. size_t n_out=nodes_out.size();
  2569. //setup_data.precomp_data=NULL;
  2570. // Build interac_data
  2571. Profile::Tic("Interac-Data",&this->comm,true,25);
  2572. Matrix<char>& interac_data=setup_data.interac_data;
  2573. if(n_out>0 && n_in >0){
  2574. size_t ker_dim0=setup_data.kernel->ker_dim[0];
  2575. size_t ker_dim1=setup_data.kernel->ker_dim[1];
  2576. size_t dof=1;
  2577. for(size_t i=0;i<n_in ;i++) ((FMMNode*)nodes_in [i])->node_id=i;
  2578. std::vector<size_t> trg_interac_cnt(n_out,0);
  2579. std::vector<size_t> trg_coord(n_out);
  2580. std::vector<size_t> trg_value(n_out);
  2581. std::vector<size_t> trg_cnt(n_out);
  2582. std::vector<Real_t> scaling(n_out,0);
  2583. { // Set trg data
  2584. Mat_Type& interac_type=interac_type_lst[0];
  2585. for(size_t i=0;i<n_out;i++){
  2586. if(!((FMMNode*)nodes_out[i])->IsGhost() && (level==-1 || ((FMMNode*)nodes_out[i])->Depth()==level)){
  2587. trg_cnt [i]=output_vector[i*2+0]->Dim()/COORD_DIM;
  2588. trg_coord[i]=(size_t)(&output_vector[i*2+0][0][0]- coord_data[0]);
  2589. trg_value[i]=(size_t)(&output_vector[i*2+1][0][0]-output_data[0]);
  2590. if(!this->Homogen()) scaling[i]=1.0;
  2591. else if(interac_type==S2U_Type) scaling[i]=pow(0.5, setup_data.kernel->poten_scale *((FMMNode*)nodes_out[i])->Depth());
  2592. else if(interac_type== X_Type) scaling[i]=pow(0.5, setup_data.kernel->poten_scale *((FMMNode*)nodes_out[i])->Depth());
  2593. }
  2594. }
  2595. }
  2596. std::vector<std::vector<size_t> > src_cnt(n_out);
  2597. std::vector<std::vector<size_t> > src_coord(n_out);
  2598. std::vector<std::vector<size_t> > src_value(n_out);
  2599. std::vector<std::vector<Real_t> > shift_coord(n_out);
  2600. for(size_t type_indx=0; type_indx<interac_type_lst.size(); type_indx++){
  2601. Mat_Type& interac_type=interac_type_lst[type_indx];
  2602. size_t mat_cnt=this->interac_list.ListCount(interac_type);
  2603. for(size_t i=0;i<n_out;i++){ // For each target node.
  2604. if(!((FMMNode*)nodes_out[i])->IsGhost() && (level==-1 || ((FMMNode*)nodes_out[i])->Depth()==level)){
  2605. std::vector<FMMNode*>& lst=((FMMNode*)nodes_out[i])->interac_list[interac_type];
  2606. for(size_t mat_indx=0;mat_indx<mat_cnt;mat_indx++) if(lst[mat_indx]!=NULL){ // For each direction.
  2607. size_t j=lst[mat_indx]->node_id;
  2608. if(input_vector[j*4+0]->Dim()>0 || input_vector[j*4+2]->Dim()>0){
  2609. trg_interac_cnt[i]++;
  2610. { // Determine shift for periodic boundary condition
  2611. Real_t* sc=lst[mat_indx]->Coord();
  2612. Real_t* tc=((FMMNode*)nodes_out[i])->Coord();
  2613. int* rel_coord=this->interac_list.RelativeCoord(interac_type, mat_indx);
  2614. shift_coord[i].push_back((tc[0]>sc[0] && rel_coord[0]>0? 1.0:
  2615. (tc[0]<sc[0] && rel_coord[0]<0?-1.0:0.0)) +
  2616. (shift_src?sc[0]:0) - (shift_trg?tc[0]:0) );
  2617. shift_coord[i].push_back((tc[1]>sc[1] && rel_coord[1]>0? 1.0:
  2618. (tc[1]<sc[1] && rel_coord[1]<0?-1.0:0.0)) +
  2619. (shift_src?sc[1]:0) - (shift_trg?tc[1]:0) );
  2620. shift_coord[i].push_back((tc[2]>sc[2] && rel_coord[2]>0? 1.0:
  2621. (tc[2]<sc[2] && rel_coord[2]<0?-1.0:0.0)) +
  2622. (shift_src?sc[2]:0) - (shift_trg?tc[2]:0) );
  2623. }
  2624. { // Set src data
  2625. if(input_vector[j*4+0]!=NULL){
  2626. src_cnt [i].push_back(input_vector[j*4+0]->Dim()/COORD_DIM);
  2627. src_coord[i].push_back((size_t)(& input_vector[j*4+0][0][0]- coord_data[0]));
  2628. src_value[i].push_back((size_t)(& input_vector[j*4+1][0][0]- input_data[0]));
  2629. }else{
  2630. src_cnt [i].push_back(0);
  2631. src_coord[i].push_back(0);
  2632. src_value[i].push_back(0);
  2633. }
  2634. if(input_vector[j*4+2]!=NULL){
  2635. src_cnt [i].push_back(input_vector[j*4+2]->Dim()/COORD_DIM);
  2636. src_coord[i].push_back((size_t)(& input_vector[j*4+2][0][0]- coord_data[0]));
  2637. src_value[i].push_back((size_t)(& input_vector[j*4+3][0][0]- input_data[0]));
  2638. }else{
  2639. src_cnt [i].push_back(0);
  2640. src_coord[i].push_back(0);
  2641. src_value[i].push_back(0);
  2642. }
  2643. }
  2644. }
  2645. }
  2646. }
  2647. }
  2648. }
  2649. { // Set interac_data.
  2650. size_t data_size=sizeof(size_t)*4;
  2651. data_size+=sizeof(size_t)+trg_interac_cnt.size()*sizeof(size_t);
  2652. data_size+=sizeof(size_t)+trg_coord.size()*sizeof(size_t);
  2653. data_size+=sizeof(size_t)+trg_value.size()*sizeof(size_t);
  2654. data_size+=sizeof(size_t)+trg_cnt .size()*sizeof(size_t);
  2655. data_size+=sizeof(size_t)+scaling .size()*sizeof(Real_t);
  2656. data_size+=sizeof(size_t)*2+(M!=NULL?M->Dim(0)*M->Dim(1)*sizeof(Real_t):0);
  2657. for(size_t i=0;i<n_out;i++){
  2658. data_size+=sizeof(size_t)+src_cnt [i].size()*sizeof(size_t);
  2659. data_size+=sizeof(size_t)+src_coord[i].size()*sizeof(size_t);
  2660. data_size+=sizeof(size_t)+src_value[i].size()*sizeof(size_t);
  2661. data_size+=sizeof(size_t)+shift_coord[i].size()*sizeof(Real_t);
  2662. }
  2663. if(data_size>interac_data.Dim(0)*interac_data.Dim(1))
  2664. interac_data.Resize(1,data_size);
  2665. char* data_ptr=&interac_data[0][0];
  2666. ((size_t*)data_ptr)[0]=data_size; data_ptr+=sizeof(size_t);
  2667. ((size_t*)data_ptr)[0]= ker_dim0; data_ptr+=sizeof(size_t);
  2668. ((size_t*)data_ptr)[0]= ker_dim1; data_ptr+=sizeof(size_t);
  2669. ((size_t*)data_ptr)[0]= dof; data_ptr+=sizeof(size_t);
  2670. ((size_t*)data_ptr)[0]=trg_interac_cnt.size(); data_ptr+=sizeof(size_t);
  2671. mem::memcopy(data_ptr, &trg_interac_cnt[0], trg_interac_cnt.size()*sizeof(size_t));
  2672. data_ptr+=trg_interac_cnt.size()*sizeof(size_t);
  2673. ((size_t*)data_ptr)[0]=trg_coord.size(); data_ptr+=sizeof(size_t);
  2674. mem::memcopy(data_ptr, &trg_coord[0], trg_coord.size()*sizeof(size_t));
  2675. data_ptr+=trg_coord.size()*sizeof(size_t);
  2676. ((size_t*)data_ptr)[0]=trg_value.size(); data_ptr+=sizeof(size_t);
  2677. mem::memcopy(data_ptr, &trg_value[0], trg_value.size()*sizeof(size_t));
  2678. data_ptr+=trg_value.size()*sizeof(size_t);
  2679. ((size_t*)data_ptr)[0]=trg_cnt.size(); data_ptr+=sizeof(size_t);
  2680. mem::memcopy(data_ptr, &trg_cnt[0], trg_cnt.size()*sizeof(size_t));
  2681. data_ptr+=trg_cnt.size()*sizeof(size_t);
  2682. ((size_t*)data_ptr)[0]=scaling.size(); data_ptr+=sizeof(size_t);
  2683. mem::memcopy(data_ptr, &scaling[0], scaling.size()*sizeof(Real_t));
  2684. data_ptr+=scaling.size()*sizeof(Real_t);
  2685. if(M!=NULL){
  2686. ((size_t*)data_ptr)[0]=M->Dim(0); data_ptr+=sizeof(size_t);
  2687. ((size_t*)data_ptr)[0]=M->Dim(1); data_ptr+=sizeof(size_t);
  2688. mem::memcopy(data_ptr, M[0][0], M->Dim(0)*M->Dim(1)*sizeof(Real_t));
  2689. data_ptr+=M->Dim(0)*M->Dim(1)*sizeof(Real_t);
  2690. }else{
  2691. ((size_t*)data_ptr)[0]=0; data_ptr+=sizeof(size_t);
  2692. ((size_t*)data_ptr)[0]=0; data_ptr+=sizeof(size_t);
  2693. }
  2694. for(size_t i=0;i<n_out;i++){
  2695. ((size_t*)data_ptr)[0]=src_cnt[i].size(); data_ptr+=sizeof(size_t);
  2696. mem::memcopy(data_ptr, &src_cnt[i][0], src_cnt[i].size()*sizeof(size_t));
  2697. data_ptr+=src_cnt[i].size()*sizeof(size_t);
  2698. ((size_t*)data_ptr)[0]=src_coord[i].size(); data_ptr+=sizeof(size_t);
  2699. mem::memcopy(data_ptr, &src_coord[i][0], src_coord[i].size()*sizeof(size_t));
  2700. data_ptr+=src_coord[i].size()*sizeof(size_t);
  2701. ((size_t*)data_ptr)[0]=src_value[i].size(); data_ptr+=sizeof(size_t);
  2702. mem::memcopy(data_ptr, &src_value[i][0], src_value[i].size()*sizeof(size_t));
  2703. data_ptr+=src_value[i].size()*sizeof(size_t);
  2704. ((size_t*)data_ptr)[0]=shift_coord[i].size(); data_ptr+=sizeof(size_t);
  2705. mem::memcopy(data_ptr, &shift_coord[i][0], shift_coord[i].size()*sizeof(Real_t));
  2706. data_ptr+=shift_coord[i].size()*sizeof(Real_t);
  2707. }
  2708. }
  2709. size_t buff_size=DEVICE_BUFFER_SIZE*1024l*1024l;
  2710. if(this->dev_buffer.Dim()<buff_size) this->dev_buffer.Resize(buff_size);
  2711. if(this->cpu_buffer.Dim()<buff_size) this->cpu_buffer.Resize(buff_size);
  2712. }
  2713. Profile::Toc();
  2714. Profile::Tic("Host2Device",&this->comm,false,25);
  2715. if(device){ // Host2Device
  2716. setup_data.interac_data .AllocDevice(true);
  2717. }
  2718. Profile::Toc();
  2719. }
  2720. template <class FMMNode>
  2721. void FMM_Pts<FMMNode>::EvalListPts(SetupData<Real_t>& setup_data, bool device){
  2722. if(setup_data.interac_data.Dim(0)==0 || setup_data.interac_data.Dim(1)==0){
  2723. Profile::Tic("Host2Device",&this->comm,false,25);
  2724. Profile::Toc();
  2725. Profile::Tic("DeviceComp",&this->comm,false,20);
  2726. Profile::Toc();
  2727. return;
  2728. }
  2729. Profile::Tic("Host2Device",&this->comm,false,25);
  2730. typename Vector<char>::Device buff;
  2731. //typename Matrix<char>::Device precomp_data;
  2732. typename Matrix<char>::Device interac_data;
  2733. typename Matrix<Real_t>::Device coord_data;
  2734. typename Matrix<Real_t>::Device input_data;
  2735. typename Matrix<Real_t>::Device output_data;
  2736. if(device){
  2737. buff = this-> dev_buffer. AllocDevice(false);
  2738. interac_data= setup_data.interac_data. AllocDevice(false);
  2739. //if(setup_data.precomp_data!=NULL) precomp_data= setup_data.precomp_data->AllocDevice(false);
  2740. if(setup_data. coord_data!=NULL) coord_data = setup_data. coord_data->AllocDevice(false);
  2741. if(setup_data. input_data!=NULL) input_data = setup_data. input_data->AllocDevice(false);
  2742. if(setup_data. output_data!=NULL) output_data = setup_data. output_data->AllocDevice(false);
  2743. }else{
  2744. buff = this-> cpu_buffer;
  2745. interac_data= setup_data.interac_data;
  2746. //if(setup_data.precomp_data!=NULL) precomp_data=*setup_data.precomp_data;
  2747. if(setup_data. coord_data!=NULL) coord_data =*setup_data. coord_data;
  2748. if(setup_data. input_data!=NULL) input_data =*setup_data. input_data;
  2749. if(setup_data. output_data!=NULL) output_data =*setup_data. output_data;
  2750. }
  2751. Profile::Toc();
  2752. size_t ptr_single_layer_kernel=(size_t)setup_data.kernel->ker_poten;
  2753. size_t ptr_double_layer_kernel=(size_t)setup_data.kernel->dbl_layer_poten;
  2754. Profile::Tic("DeviceComp",&this->comm,false,20);
  2755. int lock_idx=-1;
  2756. int wait_lock_idx=-1;
  2757. if(device) wait_lock_idx=MIC_Lock::curr_lock();
  2758. if(device) lock_idx=MIC_Lock::get_lock();
  2759. #ifdef __INTEL_OFFLOAD
  2760. if(device) ptr_single_layer_kernel=setup_data.kernel->dev_ker_poten;
  2761. if(device) ptr_double_layer_kernel=setup_data.kernel->dev_dbl_layer_poten;
  2762. #pragma offload if(device) target(mic:0) signal(&MIC_Lock::lock_vec[device?lock_idx:0])
  2763. #endif
  2764. { // Offloaded computation.
  2765. // Set interac_data.
  2766. //size_t data_size;
  2767. //size_t ker_dim0;
  2768. size_t ker_dim1;
  2769. size_t dof, n_out;
  2770. Vector<size_t> trg_interac_cnt;
  2771. Vector<size_t> trg_coord;
  2772. Vector<size_t> trg_value;
  2773. Vector<size_t> trg_cnt;
  2774. Vector<Real_t> scaling;
  2775. Matrix<Real_t> M;
  2776. Vector< Vector<size_t> > src_cnt;
  2777. Vector< Vector<size_t> > src_coord;
  2778. Vector< Vector<size_t> > src_value;
  2779. Vector< Vector<Real_t> > shift_coord;
  2780. { // Set interac_data.
  2781. char* data_ptr=&interac_data[0][0];
  2782. /*data_size=((size_t*)data_ptr)[0];*/ data_ptr+=sizeof(size_t);
  2783. /*ker_dim0=((size_t*)data_ptr)[0];*/ data_ptr+=sizeof(size_t);
  2784. ker_dim1=((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2785. dof =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2786. trg_interac_cnt.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2787. data_ptr+=sizeof(size_t)+trg_interac_cnt.Dim()*sizeof(size_t);
  2788. n_out=trg_interac_cnt.Dim();
  2789. trg_coord.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2790. data_ptr+=sizeof(size_t)+trg_coord.Dim()*sizeof(size_t);
  2791. trg_value.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2792. data_ptr+=sizeof(size_t)+trg_value.Dim()*sizeof(size_t);
  2793. trg_cnt.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2794. data_ptr+=sizeof(size_t)+trg_cnt.Dim()*sizeof(size_t);
  2795. scaling.ReInit(((size_t*)data_ptr)[0],(Real_t*)(data_ptr+sizeof(size_t)),false);
  2796. data_ptr+=sizeof(size_t)+scaling.Dim()*sizeof(Real_t);
  2797. M.ReInit(((size_t*)data_ptr)[0],((size_t*)data_ptr)[1],(Real_t*)(data_ptr+2*sizeof(size_t)),false);
  2798. data_ptr+=sizeof(size_t)*2+M.Dim(0)*M.Dim(1)*sizeof(Real_t);
  2799. src_cnt.Resize(n_out);
  2800. src_coord.Resize(n_out);
  2801. src_value.Resize(n_out);
  2802. shift_coord.Resize(n_out);
  2803. for(size_t i=0;i<n_out;i++){
  2804. src_cnt[i].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2805. data_ptr+=sizeof(size_t)+src_cnt[i].Dim()*sizeof(size_t);
  2806. src_coord[i].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2807. data_ptr+=sizeof(size_t)+src_coord[i].Dim()*sizeof(size_t);
  2808. src_value[i].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2809. data_ptr+=sizeof(size_t)+src_value[i].Dim()*sizeof(size_t);
  2810. shift_coord[i].ReInit(((size_t*)data_ptr)[0],(Real_t*)(data_ptr+sizeof(size_t)),false);
  2811. data_ptr+=sizeof(size_t)+shift_coord[i].Dim()*sizeof(Real_t);
  2812. }
  2813. }
  2814. if(device) MIC_Lock::wait_lock(wait_lock_idx);
  2815. //Compute interaction from point sources.
  2816. { // interactions
  2817. typename Kernel<Real_t>::Ker_t single_layer_kernel=(typename Kernel<Real_t>::Ker_t)ptr_single_layer_kernel;
  2818. typename Kernel<Real_t>::Ker_t double_layer_kernel=(typename Kernel<Real_t>::Ker_t)ptr_double_layer_kernel;
  2819. int omp_p=omp_get_max_threads();
  2820. Vector<Real_t*> thread_buff(omp_p);
  2821. size_t thread_buff_size=buff.dim/sizeof(Real_t)/omp_p;
  2822. for(int i=0;i<omp_p;i++) thread_buff[i]=(Real_t*)&buff[i*thread_buff_size*sizeof(Real_t)];
  2823. #pragma omp parallel for
  2824. for(size_t i=0;i<n_out;i++)
  2825. if(trg_interac_cnt[i]>0 && trg_cnt[i]>0){
  2826. int thread_id=omp_get_thread_num();
  2827. Real_t* s_coord=thread_buff[thread_id];
  2828. Real_t* t_value=output_data[0]+trg_value[i];
  2829. if(M.Dim(0)>0 && M.Dim(1)>0){
  2830. s_coord+=dof*M.Dim(0);
  2831. t_value=thread_buff[thread_id];
  2832. for(size_t j=0;j<dof*M.Dim(0);j++) t_value[j]=0;
  2833. }
  2834. size_t interac_cnt=0;
  2835. for(size_t j=0;j<trg_interac_cnt[i];j++){
  2836. if(ptr_single_layer_kernel!=(size_t)NULL){// Single layer kernel
  2837. Real_t* src_coord_=coord_data[0]+src_coord[i][2*j+0];
  2838. assert(thread_buff_size>=dof*M.Dim(0)+src_cnt[i][2*j+0]*COORD_DIM);
  2839. for(size_t k1=0;k1<src_cnt[i][2*j+0];k1++){ // Compute shifted source coordinates.
  2840. for(size_t k0=0;k0<COORD_DIM;k0++){
  2841. s_coord[k1*COORD_DIM+k0]=src_coord_[k1*COORD_DIM+k0]+shift_coord[i][j*COORD_DIM+k0];
  2842. }
  2843. }
  2844. single_layer_kernel( s_coord , src_cnt[i][2*j+0], input_data[0]+src_value[i][2*j+0], dof,
  2845. coord_data[0]+trg_coord[i], trg_cnt[i] , t_value, NULL);
  2846. interac_cnt+=src_cnt[i][2*j+0]*trg_cnt[i];
  2847. }else if(src_cnt[i][2*j+0]!=0 && trg_cnt[i]!=0){
  2848. assert(ptr_single_layer_kernel); // Single-layer kernel not implemented
  2849. }
  2850. if(ptr_double_layer_kernel!=(size_t)NULL){// Double layer kernel
  2851. Real_t* src_coord_=coord_data[0]+src_coord[i][2*j+1];
  2852. assert(thread_buff_size>=dof*M.Dim(0)+src_cnt[i][2*j+1]*COORD_DIM);
  2853. for(size_t k1=0;k1<src_cnt[i][2*j+1];k1++){ // Compute shifted source coordinates.
  2854. for(size_t k0=0;k0<COORD_DIM;k0++){
  2855. s_coord[k1*COORD_DIM+k0]=src_coord_[k1*COORD_DIM+k0]+shift_coord[i][j*COORD_DIM+k0];
  2856. }
  2857. }
  2858. double_layer_kernel( s_coord , src_cnt[i][2*j+1], input_data[0]+src_value[i][2*j+1], dof,
  2859. coord_data[0]+trg_coord[i], trg_cnt[i] , t_value, NULL);
  2860. interac_cnt+=src_cnt[i][2*j+1]*trg_cnt[i];
  2861. }else if(src_cnt[i][2*j+1]!=0 && trg_cnt[i]!=0){
  2862. assert(ptr_double_layer_kernel); // Double-layer kernel not implemented
  2863. }
  2864. }
  2865. if(M.Dim(0)>0 && M.Dim(1)>0 && interac_cnt>0){
  2866. assert(trg_cnt[i]*ker_dim1==M.Dim(0)); UNUSED(ker_dim1);
  2867. for(size_t j=0;j<dof*M.Dim(0);j++) t_value[j]*=scaling[i];
  2868. Matrix<Real_t> in_vec(dof, M.Dim(0), t_value , false);
  2869. Matrix<Real_t> out_vec(dof, M.Dim(1), output_data[0]+trg_value[i], false);
  2870. Matrix<Real_t>::DGEMM(out_vec, in_vec, M, 1.0);
  2871. }
  2872. }
  2873. }
  2874. if(device) MIC_Lock::release_lock(lock_idx);
  2875. }
  2876. #ifndef __MIC_ASYNCH__
  2877. #ifdef __INTEL_OFFLOAD
  2878. #pragma offload if(device) target(mic:0)
  2879. {if(device) MIC_Lock::wait_lock(lock_idx);}
  2880. #endif
  2881. #endif
  2882. Profile::Toc();
  2883. }
  2884. template <class FMMNode>
  2885. void FMM_Pts<FMMNode>::X_ListSetup(SetupData<Real_t>& setup_data, std::vector<Matrix<Real_t> >& buff, std::vector<Vector<FMMNode_t*> >& n_list, int level, bool device){
  2886. if(this->MultipoleOrder()==0) return;
  2887. { // Set setup_data
  2888. setup_data.level=level;
  2889. setup_data.kernel=&aux_kernel;
  2890. setup_data.interac_type.resize(1);
  2891. setup_data.interac_type[0]=X_Type;
  2892. setup_data. input_data=&buff[4];
  2893. setup_data.output_data=&buff[1];
  2894. setup_data. coord_data=&buff[6];
  2895. Vector<FMMNode_t*>& nodes_in =n_list[4];
  2896. Vector<FMMNode_t*>& nodes_out=n_list[1];
  2897. setup_data.nodes_in .clear();
  2898. setup_data.nodes_out.clear();
  2899. for(size_t i=0;i<nodes_in .Dim();i++) if(nodes_in [i]->Depth()==level-1 || level==-1) setup_data.nodes_in .push_back(nodes_in [i]);
  2900. for(size_t i=0;i<nodes_out.Dim();i++) if(nodes_out[i]->Depth()==level || level==-1) setup_data.nodes_out.push_back(nodes_out[i]);
  2901. }
  2902. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2903. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2904. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2905. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2906. for(size_t i=0;i<nodes_in .size();i++){
  2907. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_coord);
  2908. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_value);
  2909. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_coord);
  2910. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_value);
  2911. }
  2912. for(size_t i=0;i<nodes_out.size();i++){
  2913. output_vector.push_back(&dnwd_check_surf[((FMMNode*)nodes_out[i])->Depth()]);
  2914. output_vector.push_back(&((FMMData*)((FMMNode*)nodes_out[i])->FMMData())->dnward_equiv);
  2915. }
  2916. //Downward check to downward equivalent matrix.
  2917. Matrix<Real_t>& M_dc2de = this->mat->Mat(level, DC2DE_Type, 0);
  2918. this->SetupInteracPts(setup_data, false, true, &M_dc2de,device);
  2919. { // Resize device buffer
  2920. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  2921. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  2922. }
  2923. }
  2924. template <class FMMNode>
  2925. void FMM_Pts<FMMNode>::X_List (SetupData<Real_t>& setup_data, bool device){
  2926. //Add X_List contribution.
  2927. this->EvalListPts(setup_data, device);
  2928. }
  2929. template <class FMMNode>
  2930. void FMM_Pts<FMMNode>::W_ListSetup(SetupData<Real_t>& setup_data, std::vector<Matrix<Real_t> >& buff, std::vector<Vector<FMMNode_t*> >& n_list, int level, bool device){
  2931. if(this->MultipoleOrder()==0) return;
  2932. { // Set setup_data
  2933. setup_data.level=level;
  2934. setup_data.kernel=&kernel;
  2935. setup_data.interac_type.resize(1);
  2936. setup_data.interac_type[0]=W_Type;
  2937. setup_data. input_data=&buff[0];
  2938. setup_data.output_data=&buff[5];
  2939. setup_data. coord_data=&buff[6];
  2940. Vector<FMMNode_t*>& nodes_in =n_list[0];
  2941. Vector<FMMNode_t*>& nodes_out=n_list[5];
  2942. setup_data.nodes_in .clear();
  2943. setup_data.nodes_out.clear();
  2944. for(size_t i=0;i<nodes_in .Dim();i++) if(nodes_in [i]->Depth()==level+1 || level==-1) setup_data.nodes_in .push_back(nodes_in [i]);
  2945. for(size_t i=0;i<nodes_out.Dim();i++) if(nodes_out[i]->Depth()==level || level==-1) setup_data.nodes_out.push_back(nodes_out[i]);
  2946. }
  2947. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2948. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2949. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2950. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2951. for(size_t i=0;i<nodes_in .size();i++){
  2952. input_vector .push_back(&upwd_equiv_surf[((FMMNode*)nodes_in [i])->Depth()]);
  2953. input_vector .push_back(&((FMMData*)((FMMNode*)nodes_in [i])->FMMData())->upward_equiv);
  2954. input_vector .push_back(NULL);
  2955. input_vector .push_back(NULL);
  2956. }
  2957. for(size_t i=0;i<nodes_out.size();i++){
  2958. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_coord);
  2959. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_value);
  2960. }
  2961. this->SetupInteracPts(setup_data, true, false, NULL, device);
  2962. { // Resize device buffer
  2963. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  2964. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  2965. }
  2966. }
  2967. template <class FMMNode>
  2968. void FMM_Pts<FMMNode>::W_List (SetupData<Real_t>& setup_data, bool device){
  2969. //Add W_List contribution.
  2970. this->EvalListPts(setup_data, device);
  2971. }
  2972. template <class FMMNode>
  2973. void FMM_Pts<FMMNode>::U_ListSetup(SetupData<Real_t>& setup_data, std::vector<Matrix<Real_t> >& buff, std::vector<Vector<FMMNode_t*> >& n_list, int level, bool device){
  2974. { // Set setup_data
  2975. setup_data.level=level;
  2976. setup_data.kernel=&kernel;
  2977. setup_data.interac_type.resize(3);
  2978. setup_data.interac_type[0]=U0_Type;
  2979. setup_data.interac_type[1]=U1_Type;
  2980. setup_data.interac_type[2]=U2_Type;
  2981. setup_data. input_data=&buff[4];
  2982. setup_data.output_data=&buff[5];
  2983. setup_data. coord_data=&buff[6];
  2984. Vector<FMMNode_t*>& nodes_in =n_list[4];
  2985. Vector<FMMNode_t*>& nodes_out=n_list[5];
  2986. setup_data.nodes_in .clear();
  2987. setup_data.nodes_out.clear();
  2988. for(size_t i=0;i<nodes_in .Dim();i++) if((level-1<=nodes_in [i]->Depth() && nodes_in [i]->Depth()<=level+1) || level==-1) setup_data.nodes_in .push_back(nodes_in [i]);
  2989. for(size_t i=0;i<nodes_out.Dim();i++) if(( nodes_out[i]->Depth()==level ) || level==-1) setup_data.nodes_out.push_back(nodes_out[i]);
  2990. }
  2991. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2992. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2993. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2994. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2995. for(size_t i=0;i<nodes_in .size();i++){
  2996. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_coord);
  2997. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_value);
  2998. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_coord);
  2999. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_value);
  3000. }
  3001. for(size_t i=0;i<nodes_out.size();i++){
  3002. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_coord);
  3003. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_value);
  3004. }
  3005. this->SetupInteracPts(setup_data, false, false, NULL, device);
  3006. { // Resize device buffer
  3007. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  3008. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  3009. }
  3010. }
  3011. template <class FMMNode>
  3012. void FMM_Pts<FMMNode>::U_List (SetupData<Real_t>& setup_data, bool device){
  3013. //Add U_List contribution.
  3014. this->EvalListPts(setup_data, device);
  3015. }
  3016. template <class FMMNode>
  3017. void FMM_Pts<FMMNode>::Down2TargetSetup(SetupData<Real_t>& setup_data, std::vector<Matrix<Real_t> >& buff, std::vector<Vector<FMMNode_t*> >& n_list, int level, bool device){
  3018. if(this->MultipoleOrder()==0) return;
  3019. { // Set setup_data
  3020. setup_data.level=level;
  3021. setup_data.kernel=&kernel;
  3022. setup_data.interac_type.resize(1);
  3023. setup_data.interac_type[0]=D2T_Type;
  3024. setup_data. input_data=&buff[1];
  3025. setup_data.output_data=&buff[5];
  3026. setup_data. coord_data=&buff[6];
  3027. Vector<FMMNode_t*>& nodes_in =n_list[1];
  3028. Vector<FMMNode_t*>& nodes_out=n_list[5];
  3029. setup_data.nodes_in .clear();
  3030. setup_data.nodes_out.clear();
  3031. for(size_t i=0;i<nodes_in .Dim();i++) if(nodes_in [i]->Depth()==level || level==-1) setup_data.nodes_in .push_back(nodes_in [i]);
  3032. for(size_t i=0;i<nodes_out.Dim();i++) if(nodes_out[i]->Depth()==level || level==-1) setup_data.nodes_out.push_back(nodes_out[i]);
  3033. }
  3034. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  3035. std::vector<void*>& nodes_out=setup_data.nodes_out;
  3036. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  3037. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  3038. for(size_t i=0;i<nodes_in .size();i++){
  3039. input_vector .push_back(&dnwd_equiv_surf[((FMMNode*)nodes_in [i])->Depth()]);
  3040. input_vector .push_back(&((FMMData*)((FMMNode*)nodes_in [i])->FMMData())->dnward_equiv);
  3041. input_vector .push_back(NULL);
  3042. input_vector .push_back(NULL);
  3043. }
  3044. for(size_t i=0;i<nodes_out.size();i++){
  3045. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_coord);
  3046. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_value);
  3047. }
  3048. this->SetupInteracPts(setup_data, true, false, NULL, device);
  3049. { // Resize device buffer
  3050. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  3051. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  3052. }
  3053. }
  3054. template <class FMMNode>
  3055. void FMM_Pts<FMMNode>::Down2Target(SetupData<Real_t>& setup_data, bool device){
  3056. //Add Down2Target contribution.
  3057. this->EvalListPts(setup_data, device);
  3058. }
  3059. template <class FMMNode>
  3060. void FMM_Pts<FMMNode>::PostProcessing(std::vector<FMMNode_t*>& nodes){
  3061. }
  3062. template <class FMMNode>
  3063. void FMM_Pts<FMMNode>::CopyOutput(FMMNode** nodes, size_t n){
  3064. }
  3065. }//end namespace