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(__INTEL_OFFLOAD) || defined(__MIC__)
  25. #include <immintrin.h>
  26. #endif
  27. #ifdef __INTEL_OFFLOAD0
  28. #pragma offload_attribute(push,target(mic))
  29. #endif
  30. namespace pvfmm{
  31. /**
  32. * \brief Returns the coordinates of points on the surface of a cube.
  33. * \param[in] p Number of points on an edge of the cube is (n+1)
  34. * \param[in] c Coordinates to the centre of the cube (3D array).
  35. * \param[in] alpha Scaling factor for the size of the cube.
  36. * \param[in] depth Depth of the cube in the octree.
  37. * \return Vector with coordinates of points on the surface of the cube in the
  38. * format [x0 y0 z0 x1 y1 z1 .... ].
  39. */
  40. template <class Real_t>
  41. std::vector<Real_t> surface(int p, Real_t* c, Real_t alpha, int depth){
  42. size_t n_=(6*(p-1)*(p-1)+2); //Total number of points.
  43. std::vector<Real_t> coord(n_*3);
  44. coord[0]=coord[1]=coord[2]=-1.0;
  45. size_t cnt=1;
  46. for(int i=0;i<p-1;i++)
  47. for(int j=0;j<p-1;j++){
  48. coord[cnt*3 ]=-1.0;
  49. coord[cnt*3+1]=(2.0*(i+1)-p+1)/(p-1);
  50. coord[cnt*3+2]=(2.0*j-p+1)/(p-1);
  51. cnt++;
  52. }
  53. for(int i=0;i<p-1;i++)
  54. for(int j=0;j<p-1;j++){
  55. coord[cnt*3 ]=(2.0*i-p+1)/(p-1);
  56. coord[cnt*3+1]=-1.0;
  57. coord[cnt*3+2]=(2.0*(j+1)-p+1)/(p-1);
  58. cnt++;
  59. }
  60. for(int i=0;i<p-1;i++)
  61. for(int j=0;j<p-1;j++){
  62. coord[cnt*3 ]=(2.0*(i+1)-p+1)/(p-1);
  63. coord[cnt*3+1]=(2.0*j-p+1)/(p-1);
  64. coord[cnt*3+2]=-1.0;
  65. cnt++;
  66. }
  67. for(size_t i=0;i<(n_/2)*3;i++)
  68. coord[cnt*3+i]=-coord[i];
  69. Real_t r = 0.5*pow(0.5,depth);
  70. Real_t b = alpha*r;
  71. for(size_t i=0;i<n_;i++){
  72. coord[i*3+0]=(coord[i*3+0]+1.0)*b+c[0];
  73. coord[i*3+1]=(coord[i*3+1]+1.0)*b+c[1];
  74. coord[i*3+2]=(coord[i*3+2]+1.0)*b+c[2];
  75. }
  76. return coord;
  77. }
  78. /**
  79. * \brief Returns the coordinates of points on the upward check surface of cube.
  80. * \see surface()
  81. */
  82. template <class Real_t>
  83. std::vector<Real_t> u_check_surf(int p, Real_t* c, int depth){
  84. Real_t r=0.5*pow(0.5,depth);
  85. Real_t coord[3]={c[0]-r*(RAD1-1.0),c[1]-r*(RAD1-1.0),c[2]-r*(RAD1-1.0)};
  86. return surface(p,coord,(Real_t)RAD1,depth);
  87. }
  88. /**
  89. * \brief Returns the coordinates of points on the upward equivalent surface of cube.
  90. * \see surface()
  91. */
  92. template <class Real_t>
  93. std::vector<Real_t> u_equiv_surf(int p, Real_t* c, int depth){
  94. Real_t r=0.5*pow(0.5,depth);
  95. Real_t coord[3]={c[0]-r*(RAD0-1.0),c[1]-r*(RAD0-1.0),c[2]-r*(RAD0-1.0)};
  96. return surface(p,coord,(Real_t)RAD0,depth);
  97. }
  98. /**
  99. * \brief Returns the coordinates of points on the downward check surface of cube.
  100. * \see surface()
  101. */
  102. template <class Real_t>
  103. std::vector<Real_t> d_check_surf(int p, Real_t* c, int depth){
  104. Real_t r=0.5*pow(0.5,depth);
  105. Real_t coord[3]={c[0]-r*(RAD0-1.0),c[1]-r*(RAD0-1.0),c[2]-r*(RAD0-1.0)};
  106. return surface(p,coord,(Real_t)RAD0,depth);
  107. }
  108. /**
  109. * \brief Returns the coordinates of points on the downward equivalent surface of cube.
  110. * \see surface()
  111. */
  112. template <class Real_t>
  113. std::vector<Real_t> d_equiv_surf(int p, Real_t* c, int depth){
  114. Real_t r=0.5*pow(0.5,depth);
  115. Real_t coord[3]={c[0]-r*(RAD1-1.0),c[1]-r*(RAD1-1.0),c[2]-r*(RAD1-1.0)};
  116. return surface(p,coord,(Real_t)RAD1,depth);
  117. }
  118. /**
  119. * \brief Defines the 3D grid for convolution in FFT acceleration of V-list.
  120. * \see surface()
  121. */
  122. template <class Real_t>
  123. std::vector<Real_t> conv_grid(int p, Real_t* c, int depth){
  124. Real_t r=pow(0.5,depth);
  125. Real_t a=r*RAD0;
  126. Real_t coord[3]={c[0],c[1],c[2]};
  127. int n1=p*2;
  128. int n2=(int)pow((Real_t)n1,2);
  129. int n3=(int)pow((Real_t)n1,3);
  130. std::vector<Real_t> grid(n3*3);
  131. for(int i=0;i<n1;i++)
  132. for(int j=0;j<n1;j++)
  133. for(int k=0;k<n1;k++){
  134. grid[(i+n1*j+n2*k)*3+0]=(i-p)*a/(p-1)+coord[0];
  135. grid[(i+n1*j+n2*k)*3+1]=(j-p)*a/(p-1)+coord[1];
  136. grid[(i+n1*j+n2*k)*3+2]=(k-p)*a/(p-1)+coord[2];
  137. }
  138. return grid;
  139. }
  140. #ifdef __INTEL_OFFLOAD0
  141. #pragma offload_attribute(pop)
  142. #endif
  143. template <class Real_t>
  144. void FMM_Data<Real_t>::Clear(){
  145. upward_equiv.Resize(0);
  146. }
  147. template <class Real_t>
  148. PackedData FMM_Data<Real_t>::PackMultipole(void* buff_ptr){
  149. PackedData p0; p0.data=buff_ptr;
  150. p0.length=upward_equiv.Dim()*sizeof(Real_t);
  151. if(p0.length==0) return p0;
  152. if(p0.data==NULL) p0.data=(char*)&upward_equiv[0];
  153. else mem::memcopy(p0.data,&upward_equiv[0],p0.length);
  154. return p0;
  155. }
  156. template <class Real_t>
  157. void FMM_Data<Real_t>::AddMultipole(PackedData p0){
  158. Real_t* data=(Real_t*)p0.data;
  159. size_t n=p0.length/sizeof(Real_t);
  160. assert(upward_equiv.Dim()==n);
  161. Matrix<Real_t> v0(1,n,&upward_equiv[0],false);
  162. Matrix<Real_t> v1(1,n,data,false);
  163. v0+=v1;
  164. }
  165. template <class Real_t>
  166. void FMM_Data<Real_t>::InitMultipole(PackedData p0, bool own_data){
  167. Real_t* data=(Real_t*)p0.data;
  168. size_t n=p0.length/sizeof(Real_t);
  169. if(n==0) return;
  170. if(own_data){
  171. upward_equiv=Vector<Real_t>(n, &data[0], false);
  172. }else{
  173. upward_equiv.ReInit(n, &data[0], false);
  174. }
  175. }
  176. template <class FMMNode>
  177. FMM_Pts<FMMNode>::~FMM_Pts() {
  178. if(mat!=NULL){
  179. // int rank;
  180. // MPI_Comm_rank(comm,&rank);
  181. // if(rank==0) mat->Save2File("Precomp.data");
  182. delete mat;
  183. mat=NULL;
  184. }
  185. if(vprecomp_fft_flag) FFTW_t<Real_t>::fft_destroy_plan(vprecomp_fftplan);
  186. #ifdef __INTEL_OFFLOAD0
  187. #pragma offload target(mic:0)
  188. #endif
  189. {
  190. if(vlist_fft_flag ) FFTW_t<Real_t>::fft_destroy_plan(vlist_fftplan );
  191. if(vlist_ifft_flag) FFTW_t<Real_t>::fft_destroy_plan(vlist_ifftplan);
  192. vlist_fft_flag =false;
  193. vlist_ifft_flag=false;
  194. }
  195. }
  196. template <class FMMNode>
  197. void FMM_Pts<FMMNode>::Initialize(int mult_order, const MPI_Comm& comm_, const Kernel<Real_t>* kernel_, const Kernel<Real_t>* aux_kernel_){
  198. Profile::Tic("InitFMM_Pts",&comm_,true);{
  199. multipole_order=mult_order;
  200. comm=comm_;
  201. kernel=*kernel_;
  202. aux_kernel=*(aux_kernel_?aux_kernel_:kernel_);
  203. assert(kernel.ker_dim[0]==aux_kernel.ker_dim[0]);
  204. mat=new PrecompMat<Real_t>(Homogen(), MAX_DEPTH+1);
  205. if(this->mat_fname.size()==0){
  206. std::stringstream st;
  207. st<<PVFMM_PRECOMP_DATA_PATH;
  208. if(!st.str().size()){ // look in PVFMM_DIR
  209. char* pvfmm_dir = getenv ("PVFMM_DIR");
  210. if(pvfmm_dir) st<<pvfmm_dir<<'/';
  211. }
  212. #ifndef STAT_MACROS_BROKEN
  213. if(st.str().size()){ // check if the path is a directory
  214. struct stat stat_buff;
  215. if(stat(st.str().c_str(), &stat_buff) || !S_ISDIR(stat_buff.st_mode)){
  216. std::cout<<"error: path not found: "<<st.str()<<'\n';
  217. exit(0);
  218. }
  219. }
  220. #endif
  221. st<<"Precomp_"<<kernel.ker_name.c_str()<<"_m"<<mult_order<<(typeid(Real_t)==typeid(float)?"_f":"")<<".data";
  222. this->mat_fname=st.str();
  223. }
  224. this->mat->LoadFile(mat_fname.c_str(), this->comm);
  225. interac_list.Initialize(COORD_DIM, this->mat);
  226. Profile::Tic("PrecompUC2UE",&comm,false,4);
  227. this->PrecompAll(UC2UE_Type);
  228. Profile::Toc();
  229. Profile::Tic("PrecompDC2DE",&comm,false,4);
  230. this->PrecompAll(DC2DE_Type);
  231. Profile::Toc();
  232. Profile::Tic("PrecompBC",&comm,false,4);
  233. { /*
  234. int type=BC_Type;
  235. for(int l=0;l<MAX_DEPTH;l++)
  236. for(size_t indx=0;indx<this->interac_list.ListCount((Mat_Type)type);indx++){
  237. Matrix<Real_t>& M=this->mat->Mat(l, (Mat_Type)type, indx);
  238. M.Resize(0,0);
  239. } // */
  240. }
  241. this->PrecompAll(BC_Type,0);
  242. Profile::Toc();
  243. Profile::Tic("PrecompU2U",&comm,false,4);
  244. this->PrecompAll(U2U_Type);
  245. Profile::Toc();
  246. Profile::Tic("PrecompD2D",&comm,false,4);
  247. this->PrecompAll(D2D_Type);
  248. Profile::Toc();
  249. Profile::Tic("PrecompV",&comm,false,4);
  250. this->PrecompAll(V_Type);
  251. Profile::Toc();
  252. Profile::Tic("PrecompV1",&comm,false,4);
  253. this->PrecompAll(V1_Type);
  254. Profile::Toc();
  255. }Profile::Toc();
  256. }
  257. template <class FMMNode>
  258. Permutation<typename FMMNode::Real_t>& FMM_Pts<FMMNode>::PrecompPerm(Mat_Type type, Perm_Type perm_indx){
  259. //Check if the matrix already exists.
  260. Permutation<Real_t>& P_ = mat->Perm((Mat_Type)type, perm_indx);
  261. if(P_.Dim()!=0) return P_;
  262. Matrix<size_t> swap_xy(10,9);
  263. Matrix<size_t> swap_xz(10,9);
  264. {
  265. for(int i=0;i<9;i++)
  266. for(int j=0;j<9;j++){
  267. swap_xy[i][j]=j;
  268. swap_xz[i][j]=j;
  269. }
  270. swap_xy[3][0]=1; swap_xy[3][1]=0; swap_xy[3][2]=2;
  271. swap_xz[3][0]=2; swap_xz[3][1]=1; swap_xz[3][2]=0;
  272. swap_xy[6][0]=1; swap_xy[6][1]=0; swap_xy[6][2]=2;
  273. swap_xy[6][3]=4; swap_xy[6][4]=3; swap_xy[6][5]=5;
  274. swap_xz[6][0]=2; swap_xz[6][1]=1; swap_xz[6][2]=0;
  275. swap_xz[6][3]=5; swap_xz[6][4]=4; swap_xz[6][5]=3;
  276. swap_xy[9][0]=4; swap_xy[9][1]=3; swap_xy[9][2]=5;
  277. swap_xy[9][3]=1; swap_xy[9][4]=0; swap_xy[9][5]=2;
  278. swap_xy[9][6]=7; swap_xy[9][7]=6; swap_xy[9][8]=8;
  279. swap_xz[9][0]=8; swap_xz[9][1]=7; swap_xz[9][2]=6;
  280. swap_xz[9][3]=5; swap_xz[9][4]=4; swap_xz[9][5]=3;
  281. swap_xz[9][6]=2; swap_xz[9][7]=1; swap_xz[9][8]=0;
  282. }
  283. //Compute the matrix.
  284. Permutation<Real_t> P;
  285. switch (type){
  286. case UC2UE_Type:
  287. {
  288. break;
  289. }
  290. case DC2DE_Type:
  291. {
  292. break;
  293. }
  294. case S2U_Type:
  295. {
  296. break;
  297. }
  298. case U2U_Type:
  299. {
  300. P=PrecompPerm(D2D_Type, perm_indx);
  301. break;
  302. }
  303. case D2D_Type:
  304. {
  305. Real_t eps=1e-10;
  306. int dof=kernel.ker_dim[0];
  307. size_t p_indx=perm_indx % C_Perm;
  308. Real_t c[3]={-0.5,-0.5,-0.5};
  309. std::vector<Real_t> trg_coord=d_check_surf(this->MultipoleOrder(),c,0);
  310. int n_trg=trg_coord.size()/3;
  311. P=Permutation<Real_t>(n_trg*dof);
  312. if(p_indx==ReflecX || p_indx==ReflecY || p_indx==ReflecZ){
  313. for(int i=0;i<n_trg;i++)
  314. for(int j=0;j<n_trg;j++){
  315. if(fabs(trg_coord[i*3+0]-trg_coord[j*3+0]*(p_indx==ReflecX?-1.0:1.0))<eps)
  316. if(fabs(trg_coord[i*3+1]-trg_coord[j*3+1]*(p_indx==ReflecY?-1.0:1.0))<eps)
  317. if(fabs(trg_coord[i*3+2]-trg_coord[j*3+2]*(p_indx==ReflecZ?-1.0:1.0))<eps){
  318. for(int k=0;k<dof;k++){
  319. P.perm[j*dof+k]=i*dof+k;
  320. }
  321. }
  322. }
  323. if(dof==3) //stokes_vel (and like kernels)
  324. for(int j=0;j<n_trg;j++)
  325. P.scal[j*dof+(int)p_indx]*=-1.0;
  326. }else if(p_indx==SwapXY || p_indx==SwapXZ)
  327. for(int i=0;i<n_trg;i++)
  328. for(int j=0;j<n_trg;j++){
  329. if(fabs(trg_coord[i*3+0]-trg_coord[j*3+(p_indx==SwapXY?1:2)])<eps)
  330. if(fabs(trg_coord[i*3+1]-trg_coord[j*3+(p_indx==SwapXY?0:1)])<eps)
  331. if(fabs(trg_coord[i*3+2]-trg_coord[j*3+(p_indx==SwapXY?2:0)])<eps){
  332. for(int k=0;k<dof;k++){
  333. P.perm[j*dof+k]=i*dof+(p_indx==SwapXY?swap_xy[dof][k]:swap_xz[dof][k]);
  334. }
  335. }
  336. }
  337. break;
  338. }
  339. case D2T_Type:
  340. {
  341. break;
  342. }
  343. case U0_Type:
  344. {
  345. break;
  346. }
  347. case U1_Type:
  348. {
  349. break;
  350. }
  351. case U2_Type:
  352. {
  353. break;
  354. }
  355. case V_Type:
  356. {
  357. break;
  358. }
  359. case V1_Type:
  360. {
  361. break;
  362. }
  363. case W_Type:
  364. {
  365. break;
  366. }
  367. case X_Type:
  368. {
  369. break;
  370. }
  371. case BC_Type:
  372. {
  373. break;
  374. }
  375. default:
  376. break;
  377. }
  378. //Save the matrix for future use.
  379. #pragma omp critical (PRECOMP_MATRIX_PTS)
  380. {
  381. if(P_.Dim()==0) P_=P;
  382. }
  383. return P_;
  384. }
  385. template <class FMMNode>
  386. Matrix<typename FMMNode::Real_t>& FMM_Pts<FMMNode>::Precomp(int level, Mat_Type type, size_t mat_indx){
  387. if(this->Homogen()) level=0;
  388. //Check if the matrix already exists.
  389. Matrix<Real_t>& M_ = this->mat->Mat(level, type, mat_indx);
  390. if(M_.Dim(0)!=0 && M_.Dim(1)!=0) return M_;
  391. else{ //Compute matrix from symmetry class (if possible).
  392. size_t class_indx = this->interac_list.InteracClass(type, mat_indx);
  393. if(class_indx!=mat_indx){
  394. Matrix<Real_t>& M0 = this->Precomp(level, type, class_indx);
  395. Permutation<Real_t>& Pr = this->interac_list.Perm_R(level, type, mat_indx);
  396. Permutation<Real_t>& Pc = this->interac_list.Perm_C(level, type, mat_indx);
  397. if(Pr.Dim()>0 && Pc.Dim()>0 && M0.Dim(0)>0 && M0.Dim(1)>0) return M_;
  398. }
  399. }
  400. //Compute the matrix.
  401. Matrix<Real_t> M;
  402. int* ker_dim=kernel.ker_dim;
  403. int* aux_ker_dim=aux_kernel.ker_dim;
  404. //int omp_p=omp_get_max_threads();
  405. switch (type){
  406. case UC2UE_Type:
  407. {
  408. if(MultipoleOrder()==0) break;
  409. // Coord of upward check surface
  410. Real_t c[3]={0,0,0};
  411. std::vector<Real_t> uc_coord=u_check_surf(MultipoleOrder(),c,level);
  412. size_t n_uc=uc_coord.size()/3;
  413. // Coord of upward equivalent surface
  414. std::vector<Real_t> ue_coord=u_equiv_surf(MultipoleOrder(),c,level);
  415. size_t n_ue=ue_coord.size()/3;
  416. // Evaluate potential at check surface due to equivalent surface.
  417. Matrix<Real_t> M_e2c(n_ue*aux_ker_dim[0],n_uc*aux_ker_dim[1]);
  418. aux_kernel.BuildMatrix(&ue_coord[0], n_ue,
  419. &uc_coord[0], n_uc, &(M_e2c[0][0]));
  420. M=M_e2c.pinv(); //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. M=M_e2c.pinv(); //check 2 equivalent
  438. break;
  439. }
  440. case S2U_Type:
  441. {
  442. break;
  443. }
  444. case U2U_Type:
  445. {
  446. if(MultipoleOrder()==0) break;
  447. // Coord of upward check surface
  448. Real_t c[3]={0,0,0};
  449. std::vector<Real_t> check_surf=u_check_surf(MultipoleOrder(),c,level);
  450. size_t n_uc=check_surf.size()/3;
  451. // Coord of child's upward equivalent surface
  452. Real_t s=pow(0.5,(level+2));
  453. int* coord=interac_list.RelativeCoord(type,mat_indx);
  454. Real_t child_coord[3]={(coord[0]+1)*s,(coord[1]+1)*s,(coord[2]+1)*s};
  455. std::vector<Real_t> equiv_surf=u_equiv_surf(MultipoleOrder(),child_coord,level+1);
  456. size_t n_ue=equiv_surf.size()/3;
  457. // Evaluate potential at check surface due to equivalent surface.
  458. Matrix<Real_t> M_ce2c(n_ue*aux_ker_dim[0],n_uc*aux_ker_dim[1]);
  459. aux_kernel.BuildMatrix(&equiv_surf[0], n_ue,
  460. &check_surf[0], n_uc, &(M_ce2c[0][0]));
  461. Matrix<Real_t>& M_c2e = Precomp(level, UC2UE_Type, 0);
  462. M=M_ce2c*M_c2e;
  463. break;
  464. }
  465. case D2D_Type:
  466. {
  467. if(MultipoleOrder()==0) break;
  468. // Coord of downward check surface
  469. Real_t s=pow(0.5,level+1);
  470. int* coord=interac_list.RelativeCoord(type,mat_indx);
  471. Real_t c[3]={(coord[0]+1)*s,(coord[1]+1)*s,(coord[2]+1)*s};
  472. std::vector<Real_t> check_surf=d_check_surf(MultipoleOrder(),c,level);
  473. size_t n_dc=check_surf.size()/3;
  474. // Coord of parent's downward equivalent surface
  475. Real_t parent_coord[3]={0,0,0};
  476. std::vector<Real_t> equiv_surf=d_equiv_surf(MultipoleOrder(),parent_coord,level-1);
  477. size_t n_de=equiv_surf.size()/3;
  478. // Evaluate potential at check surface due to equivalent surface.
  479. Matrix<Real_t> M_pe2c(n_de*aux_ker_dim[0],n_dc*aux_ker_dim[1]);
  480. aux_kernel.BuildMatrix(&equiv_surf[0], n_de,
  481. &check_surf[0], n_dc, &(M_pe2c[0][0]));
  482. Matrix<Real_t>& M_c2e=Precomp(level,DC2DE_Type,0);
  483. M=M_pe2c*M_c2e;
  484. break;
  485. }
  486. case D2T_Type:
  487. {
  488. if(MultipoleOrder()==0) break;
  489. std::vector<Real_t>& rel_trg_coord=mat->RelativeTrgCoord();
  490. // Coord of target points
  491. Real_t r=pow(0.5,level);
  492. size_t n_trg=rel_trg_coord.size()/3;
  493. std::vector<Real_t> trg_coord(n_trg*3);
  494. for(size_t i=0;i<n_trg*COORD_DIM;i++) trg_coord[i]=rel_trg_coord[i]*r;
  495. // Coord of downward equivalent surface
  496. Real_t c[3]={0,0,0};
  497. std::vector<Real_t> equiv_surf=d_equiv_surf(MultipoleOrder(),c,level);
  498. size_t n_eq=equiv_surf.size()/3;
  499. // Evaluate potential at target points due to equivalent surface.
  500. {
  501. M .Resize(n_eq*ker_dim [0], n_trg*ker_dim [1]);
  502. kernel.BuildMatrix(&equiv_surf[0], n_eq, &trg_coord[0], n_trg, &(M [0][0]));
  503. }
  504. break;
  505. }
  506. case U0_Type:
  507. {
  508. break;
  509. }
  510. case U1_Type:
  511. {
  512. break;
  513. }
  514. case U2_Type:
  515. {
  516. break;
  517. }
  518. case V_Type:
  519. {
  520. if(MultipoleOrder()==0) break;
  521. int n1=MultipoleOrder()*2;
  522. int n3 =n1*n1*n1;
  523. int n3_=n1*n1*(n1/2+1);
  524. //Compute the matrix.
  525. Real_t s=pow(0.5,level);
  526. int* coord2=interac_list.RelativeCoord(type,mat_indx);
  527. Real_t coord_diff[3]={coord2[0]*s,coord2[1]*s,coord2[2]*s};
  528. //Evaluate potential.
  529. std::vector<Real_t> r_trg(COORD_DIM,0.0);
  530. std::vector<Real_t> conv_poten(n3*aux_ker_dim[0]*aux_ker_dim[1]);
  531. std::vector<Real_t> conv_coord=conv_grid(MultipoleOrder(),coord_diff,level);
  532. aux_kernel.BuildMatrix(&conv_coord[0],n3,&r_trg[0],1,&conv_poten[0]);
  533. //Rearrange data.
  534. Matrix<Real_t> M_conv(n3,aux_ker_dim[0]*aux_ker_dim[1],&conv_poten[0],false);
  535. M_conv=M_conv.Transpose();
  536. //Compute FFTW plan.
  537. int nnn[3]={n1,n1,n1};
  538. Real_t *fftw_in, *fftw_out;
  539. fftw_in = mem::aligned_malloc<Real_t>( n3 *aux_ker_dim[0]*aux_ker_dim[1]*sizeof(Real_t));
  540. fftw_out = mem::aligned_malloc<Real_t>(2*n3_*aux_ker_dim[0]*aux_ker_dim[1]*sizeof(Real_t));
  541. #pragma omp critical (FFTW_PLAN)
  542. {
  543. if (!vprecomp_fft_flag){
  544. vprecomp_fftplan = FFTW_t<Real_t>::fft_plan_many_dft_r2c(COORD_DIM, nnn, aux_ker_dim[0]*aux_ker_dim[1],
  545. (Real_t*)fftw_in, NULL, 1, n3, (typename FFTW_t<Real_t>::cplx*) fftw_out, NULL, 1, n3_, FFTW_ESTIMATE);
  546. vprecomp_fft_flag=true;
  547. }
  548. }
  549. //Compute FFT.
  550. mem::memcopy(fftw_in, &conv_poten[0], n3*aux_ker_dim[0]*aux_ker_dim[1]*sizeof(Real_t));
  551. FFTW_t<Real_t>::fft_execute_dft_r2c(vprecomp_fftplan, (Real_t*)fftw_in, (typename FFTW_t<Real_t>::cplx*)(fftw_out));
  552. Matrix<Real_t> M_(2*n3_*aux_ker_dim[0]*aux_ker_dim[1],1,(Real_t*)fftw_out,false);
  553. M=M_;
  554. //Free memory.
  555. mem::aligned_free<Real_t>(fftw_in);
  556. mem::aligned_free<Real_t>(fftw_out);
  557. break;
  558. }
  559. case V1_Type:
  560. {
  561. if(MultipoleOrder()==0) break;
  562. size_t mat_cnt =interac_list.ListCount( V_Type);
  563. for(size_t k=0;k<mat_cnt;k++) Precomp(level, V_Type, k);
  564. const size_t chld_cnt=1UL<<COORD_DIM;
  565. size_t n1=MultipoleOrder()*2;
  566. size_t M_dim=n1*n1*(n1/2+1);
  567. size_t n3=n1*n1*n1;
  568. Vector<Real_t> zero_vec(M_dim*aux_ker_dim[0]*aux_ker_dim[1]*2);
  569. zero_vec.SetZero();
  570. Vector<Real_t*> M_ptr(chld_cnt*chld_cnt);
  571. for(size_t i=0;i<chld_cnt*chld_cnt;i++) M_ptr[i]=&zero_vec[0];
  572. int* rel_coord_=interac_list.RelativeCoord(V1_Type, mat_indx);
  573. for(int j1=0;j1<chld_cnt;j1++)
  574. for(int j2=0;j2<chld_cnt;j2++){
  575. int rel_coord[3]={rel_coord_[0]*2-(j1/1)%2+(j2/1)%2,
  576. rel_coord_[1]*2-(j1/2)%2+(j2/2)%2,
  577. rel_coord_[2]*2-(j1/4)%2+(j2/4)%2};
  578. for(size_t k=0;k<mat_cnt;k++){
  579. int* ref_coord=interac_list.RelativeCoord(V_Type, k);
  580. if(ref_coord[0]==rel_coord[0] &&
  581. ref_coord[1]==rel_coord[1] &&
  582. ref_coord[2]==rel_coord[2]){
  583. Matrix<Real_t>& M = this->mat->Mat(level, V_Type, k);
  584. M_ptr[j2*chld_cnt+j1]=&M[0][0];
  585. break;
  586. }
  587. }
  588. }
  589. // Build matrix aux_ker_dim0 x aux_ker_dim1 x M_dim x 8 x 8
  590. M.Resize(aux_ker_dim[0]*aux_ker_dim[1]*M_dim, 2*chld_cnt*chld_cnt);
  591. for(int j=0;j<aux_ker_dim[0]*aux_ker_dim[1]*M_dim;j++){
  592. for(size_t k=0;k<chld_cnt*chld_cnt;k++){
  593. M[j][k*2+0]=M_ptr[k][j*2+0]/n3;
  594. M[j][k*2+1]=M_ptr[k][j*2+1]/n3;
  595. }
  596. }
  597. break;
  598. }
  599. case W_Type:
  600. {
  601. if(MultipoleOrder()==0) break;
  602. std::vector<Real_t>& rel_trg_coord=mat->RelativeTrgCoord();
  603. // Coord of target points
  604. Real_t s=pow(0.5,level);
  605. size_t n_trg=rel_trg_coord.size()/3;
  606. std::vector<Real_t> trg_coord(n_trg*3);
  607. for(size_t j=0;j<n_trg*COORD_DIM;j++) trg_coord[j]=rel_trg_coord[j]*s;
  608. // Coord of downward equivalent surface
  609. int* coord2=interac_list.RelativeCoord(type,mat_indx);
  610. Real_t c[3]={(coord2[0]+1)*s*0.25,(coord2[1]+1)*s*0.25,(coord2[2]+1)*s*0.25};
  611. std::vector<Real_t> equiv_surf=u_equiv_surf(MultipoleOrder(),c,level+1);
  612. size_t n_eq=equiv_surf.size()/3;
  613. // Evaluate potential at target points due to equivalent surface.
  614. {
  615. M .Resize(n_eq*ker_dim [0],n_trg*ker_dim [1]);
  616. kernel.BuildMatrix(&equiv_surf[0], n_eq, &trg_coord[0], n_trg, &(M [0][0]));
  617. }
  618. break;
  619. }
  620. case X_Type:
  621. {
  622. break;
  623. }
  624. case BC_Type:
  625. {
  626. if(MultipoleOrder()==0) break;
  627. size_t mat_cnt_m2m=interac_list.ListCount(U2U_Type);
  628. size_t n_surf=(6*(MultipoleOrder()-1)*(MultipoleOrder()-1)+2); //Total number of points.
  629. if((M.Dim(0)!=n_surf*aux_ker_dim[0] || M.Dim(1)!=n_surf*aux_ker_dim[1]) && level==0){
  630. Matrix<Real_t> M_m2m[BC_LEVELS+1];
  631. Matrix<Real_t> M_m2l[BC_LEVELS+1];
  632. Matrix<Real_t> M_l2l[BC_LEVELS+1];
  633. Matrix<Real_t> M_zero_avg(n_surf*aux_ker_dim[0],n_surf*aux_ker_dim[0]);
  634. { // Set average multipole charge to zero. (improves stability for large BC_LEVELS)
  635. M_zero_avg.SetZero();
  636. for(size_t i=0;i<n_surf*aux_ker_dim[0];i++)
  637. M_zero_avg[i][i]+=1;
  638. for(size_t i=0;i<n_surf;i++)
  639. for(size_t j=0;j<n_surf;j++)
  640. for(size_t k=0;k<aux_ker_dim[0];k++)
  641. M_zero_avg[i*aux_ker_dim[0]+k][j*aux_ker_dim[0]+k]-=1.0/n_surf;
  642. }
  643. for(int level=0; level>-BC_LEVELS; level--){
  644. M_l2l[-level] = this->Precomp(level, D2D_Type, 0);
  645. if(M_l2l[-level].Dim(0)==0 || M_l2l[-level].Dim(1)==0){
  646. Matrix<Real_t>& M0 = interac_list.ClassMat(level, D2D_Type, 0);
  647. Permutation<Real_t>& Pr = this->interac_list.Perm_R(level, D2D_Type, 0);
  648. Permutation<Real_t>& Pc = this->interac_list.Perm_C(level, D2D_Type, 0);
  649. M_l2l[-level] = Pr*M0*Pc;
  650. }
  651. M_m2m[-level] = M_zero_avg*this->Precomp(level, U2U_Type, 0);
  652. for(size_t mat_indx=1; mat_indx<mat_cnt_m2m; mat_indx++)
  653. M_m2m[-level] += M_zero_avg*this->Precomp(level, U2U_Type, mat_indx);
  654. }
  655. for(int level=-BC_LEVELS;level<=0;level++){
  656. if(!Homogen() || level==-BC_LEVELS){
  657. Real_t s=(1UL<<(-level));
  658. Real_t ue_coord[3]={0,0,0};
  659. Real_t dc_coord[3]={0,0,0};
  660. std::vector<Real_t> src_coord=u_equiv_surf(MultipoleOrder(), ue_coord, level);
  661. std::vector<Real_t> trg_coord=d_check_surf(MultipoleOrder(), dc_coord, level);
  662. Matrix<Real_t> M_ue2dc(n_surf*aux_ker_dim[0], n_surf*aux_ker_dim[1]);
  663. M_ue2dc.SetZero();
  664. for(int x0=-2;x0<4;x0++)
  665. for(int x1=-2;x1<4;x1++)
  666. for(int x2=-2;x2<4;x2++)
  667. if(abs(x0)>1 || abs(x1)>1 || abs(x2)>1){
  668. ue_coord[0]=x0*s; ue_coord[1]=x1*s; ue_coord[2]=x2*s;
  669. std::vector<Real_t> src_coord=u_equiv_surf(MultipoleOrder(), ue_coord, level);
  670. Matrix<Real_t> M_tmp(n_surf*aux_ker_dim[0], n_surf*aux_ker_dim[1]);
  671. aux_kernel.BuildMatrix(&src_coord[0], n_surf,
  672. &trg_coord[0], n_surf, &(M_tmp[0][0]));
  673. M_ue2dc+=M_tmp;
  674. }
  675. // Shift by constant.
  676. Real_t scale_adj=(Homogen()?pow(0.5, level*aux_kernel.poten_scale):1);
  677. for(size_t i=0;i<M_ue2dc.Dim(0);i++){
  678. std::vector<Real_t> avg(aux_ker_dim[1],0);
  679. for(size_t j=0; j<M_ue2dc.Dim(1); j+=aux_ker_dim[1])
  680. for(int k=0; k<aux_ker_dim[1]; k++) avg[k]+=M_ue2dc[i][j+k];
  681. for(int k=0; k<aux_ker_dim[1]; k++) avg[k]/=n_surf;
  682. for(size_t j=0; j<M_ue2dc.Dim(1); j+=aux_ker_dim[1])
  683. for(int k=0; k<aux_ker_dim[1]; k++) M_ue2dc[i][j+k]=(M_ue2dc[i][j+k]-avg[k])*scale_adj;
  684. }
  685. Matrix<Real_t>& M_dc2de = Precomp(level, DC2DE_Type, 0);
  686. M_m2l[-level]=M_ue2dc*M_dc2de;
  687. }else M_m2l[-level]=M_m2l[1-level];
  688. if(level==-BC_LEVELS) M = M_m2l[-level];
  689. else M = M_m2l[-level] + M_m2m[-level]*M*M_l2l[-level];
  690. { // Shift by constant. (improves stability for large BC_LEVELS)
  691. Matrix<Real_t> M_de2dc(n_surf*aux_ker_dim[0], n_surf*aux_ker_dim[1]);
  692. { // M_de2dc TODO: For homogeneous kernels, compute only once.
  693. // Coord of downward check surface
  694. Real_t c[3]={0,0,0};
  695. std::vector<Real_t> check_surf=d_check_surf(MultipoleOrder(),c,0);
  696. size_t n_ch=check_surf.size()/3;
  697. // Coord of downward equivalent surface
  698. std::vector<Real_t> equiv_surf=d_equiv_surf(MultipoleOrder(),c,0);
  699. size_t n_eq=equiv_surf.size()/3;
  700. // Evaluate potential at check surface due to equivalent surface.
  701. aux_kernel.BuildMatrix(&equiv_surf[0], n_eq,
  702. &check_surf[0], n_ch, &(M_de2dc[0][0]));
  703. }
  704. Matrix<Real_t> M_ue2dc=M*M_de2dc;
  705. for(size_t i=0;i<M_ue2dc.Dim(0);i++){
  706. std::vector<Real_t> avg(aux_ker_dim[1],0);
  707. for(size_t j=0; j<M_ue2dc.Dim(1); j+=aux_ker_dim[1])
  708. for(int k=0; k<aux_ker_dim[1]; k++) avg[k]+=M_ue2dc[i][j+k];
  709. for(int k=0; k<aux_ker_dim[1]; k++) avg[k]/=n_surf;
  710. for(size_t j=0; j<M_ue2dc.Dim(1); j+=aux_ker_dim[1])
  711. for(int k=0; k<aux_ker_dim[1]; k++) M_ue2dc[i][j+k]-=avg[k];
  712. }
  713. Matrix<Real_t>& M_dc2de = Precomp(level, DC2DE_Type, 0);
  714. M=M_ue2dc*M_dc2de;
  715. }
  716. }
  717. { // ax+by+cz+d correction.
  718. std::vector<Real_t> corner_pts;
  719. corner_pts.push_back(0); corner_pts.push_back(0); corner_pts.push_back(0);
  720. corner_pts.push_back(1); corner_pts.push_back(0); corner_pts.push_back(0);
  721. corner_pts.push_back(0); corner_pts.push_back(1); corner_pts.push_back(0);
  722. corner_pts.push_back(0); corner_pts.push_back(0); corner_pts.push_back(1);
  723. size_t n_corner=corner_pts.size()/3;
  724. // Coord of downward equivalent surface
  725. Real_t c[3]={0,0,0};
  726. std::vector<Real_t> up_equiv_surf=u_equiv_surf(MultipoleOrder(),c,0);
  727. std::vector<Real_t> dn_equiv_surf=d_equiv_surf(MultipoleOrder(),c,0);
  728. std::vector<Real_t> dn_check_surf=d_check_surf(MultipoleOrder(),c,0);
  729. Matrix<Real_t> M_err;
  730. { // Evaluate potential at corner due to upward and dnward equivalent surface.
  731. { // Error from local expansion.
  732. Matrix<Real_t> M_e2pt(n_surf*aux_ker_dim[0],n_corner*aux_ker_dim[1]);
  733. aux_kernel.BuildMatrix(&dn_equiv_surf[0], n_surf,
  734. &corner_pts[0], n_corner, &(M_e2pt[0][0]));
  735. M_err=M*M_e2pt;
  736. }
  737. for(size_t k=0;k<4;k++){ // Error from colleagues of root.
  738. for(int j0=-1;j0<=1;j0++)
  739. for(int j1=-1;j1<=1;j1++)
  740. for(int j2=-1;j2<=1;j2++){
  741. Real_t pt_coord[3]={corner_pts[k*COORD_DIM+0]-j0,
  742. corner_pts[k*COORD_DIM+1]-j1,
  743. corner_pts[k*COORD_DIM+2]-j2};
  744. 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){
  745. Matrix<Real_t> M_e2pt(n_surf*aux_ker_dim[0],aux_ker_dim[1]);
  746. aux_kernel.BuildMatrix(&up_equiv_surf[0], n_surf,
  747. &pt_coord[0], 1, &(M_e2pt[0][0]));
  748. for(size_t i=0;i<M_e2pt.Dim(0);i++)
  749. for(size_t j=0;j<M_e2pt.Dim(1);j++)
  750. M_err[i][k*aux_ker_dim[1]+j]+=M_e2pt[i][j];
  751. }
  752. }
  753. }
  754. }
  755. Matrix<Real_t> M_grad(M_err.Dim(0),n_surf*aux_ker_dim[1]);
  756. for(size_t i=0;i<M_err.Dim(0);i++)
  757. for(size_t k=0;k<aux_ker_dim[1];k++)
  758. for(size_t j=0;j<n_surf;j++){
  759. M_grad[i][j*aux_ker_dim[1]+k]=(M_err[i][0*aux_ker_dim[1]+k] )*1.0 +
  760. (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]+
  761. (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]+
  762. (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];
  763. }
  764. Matrix<Real_t>& M_dc2de = Precomp(0, DC2DE_Type, 0);
  765. M-=M_grad*M_dc2de;
  766. }
  767. { // Free memory
  768. Mat_Type type=D2D_Type;
  769. for(int l=-BC_LEVELS;l<0;l++)
  770. for(size_t indx=0;indx<this->interac_list.ListCount(type);indx++){
  771. Matrix<Real_t>& M=this->mat->Mat(l, type, indx);
  772. M.Resize(0,0);
  773. }
  774. type=U2U_Type;
  775. for(int l=-BC_LEVELS;l<0;l++)
  776. for(size_t indx=0;indx<this->interac_list.ListCount(type);indx++){
  777. Matrix<Real_t>& M=this->mat->Mat(l, type, indx);
  778. M.Resize(0,0);
  779. }
  780. type=DC2DE_Type;
  781. for(int l=-BC_LEVELS;l<0;l++)
  782. for(size_t indx=0;indx<this->interac_list.ListCount(type);indx++){
  783. Matrix<Real_t>& M=this->mat->Mat(l, type, indx);
  784. M.Resize(0,0);
  785. }
  786. type=UC2UE_Type;
  787. for(int l=-BC_LEVELS;l<0;l++)
  788. for(size_t indx=0;indx<this->interac_list.ListCount(type);indx++){
  789. Matrix<Real_t>& M=this->mat->Mat(l, type, indx);
  790. M.Resize(0,0);
  791. }
  792. }
  793. }
  794. break;
  795. }
  796. default:
  797. break;
  798. }
  799. //Save the matrix for future use.
  800. #pragma omp critical (PRECOMP_MATRIX_PTS)
  801. if(M_.Dim(0)==0 && M_.Dim(1)==0){
  802. M_=M;
  803. /*
  804. M_.Resize(M.Dim(0),M.Dim(1));
  805. int dof=aux_ker_dim[0]*aux_ker_dim[1];
  806. for(int j=0;j<dof;j++){
  807. size_t a=(M.Dim(0)*M.Dim(1)* j )/dof;
  808. size_t b=(M.Dim(0)*M.Dim(1)*(j+1))/dof;
  809. #pragma omp parallel for // NUMA
  810. for(int tid=0;tid<omp_p;tid++){
  811. size_t a_=a+((b-a)* tid )/omp_p;
  812. size_t b_=a+((b-a)*(tid+1))/omp_p;
  813. mem::memcopy(&M_[0][a_], &M[0][a_], (b_-a_)*sizeof(Real_t));
  814. }
  815. }
  816. */
  817. }
  818. return M_;
  819. }
  820. template <class FMMNode>
  821. void FMM_Pts<FMMNode>::PrecompAll(Mat_Type type, int level){
  822. int depth=(Homogen()?1:MAX_DEPTH);
  823. if(level==-1){
  824. for(int l=0;l<depth;l++){
  825. std::stringstream level_str;
  826. level_str<<"level="<<l;
  827. PrecompAll(type, l);
  828. }
  829. return;
  830. }
  831. //Compute basic permutations.
  832. for(size_t i=0;i<Perm_Count;i++)
  833. this->PrecompPerm(type, (Perm_Type) i);
  834. {
  835. //Allocate matrices.
  836. size_t mat_cnt=interac_list.ListCount((Mat_Type)type);
  837. mat->Mat(level, (Mat_Type)type, mat_cnt-1);
  838. { // Compute InteracClass matrices.
  839. std::vector<size_t> indx_lst;
  840. for(size_t i=0; i<mat_cnt; i++){
  841. if(interac_list.InteracClass((Mat_Type)type,i)==i)
  842. indx_lst.push_back(i);
  843. }
  844. //Compute Transformations.
  845. //#pragma omp parallel for //lets use fine grained parallelism
  846. for(size_t i=0; i<indx_lst.size(); i++){
  847. Precomp(level, (Mat_Type)type, indx_lst[i]);
  848. }
  849. }
  850. //#pragma omp parallel for //lets use fine grained parallelism
  851. for(size_t mat_indx=0;mat_indx<mat_cnt;mat_indx++){
  852. Matrix<Real_t>& M0=interac_list.ClassMat(level,(Mat_Type)type,mat_indx);
  853. Permutation<Real_t>& pr=interac_list.Perm_R(level, (Mat_Type)type, mat_indx);
  854. Permutation<Real_t>& pc=interac_list.Perm_C(level, (Mat_Type)type, mat_indx);
  855. if(pr.Dim()!=M0.Dim(0) || pc.Dim()!=M0.Dim(1)) Precomp(level, (Mat_Type)type, mat_indx);
  856. }
  857. }
  858. }
  859. template <class FMMNode>
  860. 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){
  861. if( buff.size()<7) buff.resize(7);
  862. if( n_list.size()<7) n_list.resize(7);
  863. if(node.size()==0) return;
  864. {// 0. upward_equiv
  865. int indx=0;
  866. Matrix<Real_t>& M_uc2ue = this->interac_list.ClassMat(0, UC2UE_Type, 0);
  867. size_t vec_sz=M_uc2ue.Dim(1);
  868. std::vector< FMMNode* > node_lst;
  869. {
  870. std::vector<std::vector< FMMNode* > > node_lst_(MAX_DEPTH+1);
  871. FMMNode_t* r_node=NULL;
  872. for(size_t i=0;i<node.size();i++){
  873. if(!node[i]->IsLeaf())
  874. node_lst_[node[i]->Depth()].push_back(node[i]);
  875. if(node[i]->Depth()==0) r_node=node[i];
  876. }
  877. size_t chld_cnt=1UL<<COORD_DIM;
  878. for(int i=0;i<=MAX_DEPTH;i++)
  879. for(size_t j=0;j<node_lst_[i].size();j++)
  880. for(size_t k=0;k<chld_cnt;k++)
  881. node_lst.push_back((FMMNode_t*)node_lst_[i][j]->Child(k));
  882. if(r_node!=NULL) node_lst.push_back(r_node);
  883. }
  884. n_list[indx]=node_lst;
  885. size_t buff_size=node_lst.size()*vec_sz;
  886. buff_size+=(extra_size.size()>indx?extra_size[indx]:0);
  887. #pragma omp parallel for
  888. for(size_t i=0;i<node.size();i++){ // Clear data
  889. Vector<Real_t>& upward_equiv=node[i]->FMMData()->upward_equiv;
  890. upward_equiv.ReInit(0);
  891. }
  892. buff[indx].Resize(1,buff_size);
  893. #pragma omp parallel for
  894. for(size_t i=0;i<node_lst.size();i++){
  895. Vector<Real_t>& upward_equiv=node_lst[i]->FMMData()->upward_equiv;
  896. upward_equiv.ReInit(vec_sz, buff[indx][0]+i*vec_sz, false);
  897. upward_equiv.SetZero();
  898. }
  899. buff[indx].AllocDevice(true);
  900. }
  901. {// 1. dnward_equiv
  902. int indx=1;
  903. Matrix<Real_t>& M_dc2de = this->interac_list.ClassMat(0, DC2DE_Type, 0);
  904. size_t vec_sz=M_dc2de.Dim(1);
  905. std::vector< FMMNode* > node_lst;
  906. {
  907. std::vector<std::vector< FMMNode* > > node_lst_(MAX_DEPTH+1);
  908. FMMNode_t* r_node=NULL;
  909. for(size_t i=0;i<node.size();i++){
  910. if(!node[i]->IsLeaf() && !node[i]->IsGhost())
  911. node_lst_[node[i]->Depth()].push_back(node[i]);
  912. if(node[i]->Depth()==0) r_node=node[i];
  913. }
  914. size_t chld_cnt=1UL<<COORD_DIM;
  915. for(int i=0;i<=MAX_DEPTH;i++)
  916. for(size_t j=0;j<node_lst_[i].size();j++)
  917. for(size_t k=0;k<chld_cnt;k++)
  918. node_lst.push_back((FMMNode_t*)node_lst_[i][j]->Child(k));
  919. if(r_node!=NULL) node_lst.push_back(r_node);
  920. }
  921. n_list[indx]=node_lst;
  922. size_t buff_size=node_lst.size()*vec_sz;
  923. buff_size+=(extra_size.size()>indx?extra_size[indx]:0);
  924. #pragma omp parallel for
  925. for(size_t i=0;i<node.size();i++){ // Clear data
  926. Vector<Real_t>& dnward_equiv=node[i]->FMMData()->dnward_equiv;
  927. dnward_equiv.ReInit(0);
  928. }
  929. buff[indx].Resize(1,buff_size);
  930. #pragma omp parallel for
  931. for(size_t i=0;i<node_lst.size();i++){
  932. Vector<Real_t>& dnward_equiv=node_lst[i]->FMMData()->dnward_equiv;
  933. dnward_equiv.ReInit(vec_sz, buff[indx][0]+i*vec_sz, false);
  934. dnward_equiv.SetZero();
  935. }
  936. buff[indx].AllocDevice(true);
  937. }
  938. {// 2. upward_equiv_fft
  939. int indx=2;
  940. std::vector< FMMNode* > node_lst;
  941. {
  942. std::vector<std::vector< FMMNode* > > node_lst_(MAX_DEPTH+1);
  943. for(size_t i=0;i<node.size();i++)
  944. if(!node[i]->IsLeaf())
  945. node_lst_[node[i]->Depth()].push_back(node[i]);
  946. for(int i=0;i<=MAX_DEPTH;i++)
  947. for(size_t j=0;j<node_lst_[i].size();j++)
  948. node_lst.push_back(node_lst_[i][j]);
  949. }
  950. n_list[indx]=node_lst;
  951. buff[indx].AllocDevice(true);
  952. }
  953. {// 3. dnward_check_fft
  954. int indx=3;
  955. std::vector< FMMNode* > node_lst;
  956. {
  957. std::vector<std::vector< FMMNode* > > node_lst_(MAX_DEPTH+1);
  958. for(size_t i=0;i<node.size();i++)
  959. if(!node[i]->IsLeaf() && !node[i]->IsGhost())
  960. node_lst_[node[i]->Depth()].push_back(node[i]);
  961. for(int i=0;i<=MAX_DEPTH;i++)
  962. for(size_t j=0;j<node_lst_[i].size();j++)
  963. node_lst.push_back(node_lst_[i][j]);
  964. }
  965. n_list[indx]=node_lst;
  966. buff[indx].AllocDevice(true);
  967. }
  968. {// 4. src_val
  969. int indx=4;
  970. int src_dof=kernel.ker_dim[0];
  971. int surf_dof=COORD_DIM+src_dof;
  972. std::vector< FMMNode* > node_lst;
  973. size_t buff_size=0;
  974. for(size_t i=0;i<node.size();i++)
  975. if(node[i]->IsLeaf()){
  976. node_lst.push_back(node[i]);
  977. buff_size+=(node[i]->src_coord.Dim()/COORD_DIM)*src_dof;
  978. buff_size+=(node[i]->surf_coord.Dim()/COORD_DIM)*surf_dof;
  979. }
  980. n_list[indx]=node_lst;
  981. #pragma omp parallel for
  982. for(size_t i=0;i<node.size();i++){ // Move data before resizing buff[indx]
  983. { // src_value
  984. Vector<Real_t>& src_value=node[i]->src_value;
  985. Vector<Real_t> new_buff=src_value;
  986. src_value.Swap(new_buff);
  987. }
  988. { // surf_value
  989. Vector<Real_t>& surf_value=node[i]->surf_value;
  990. Vector<Real_t> new_buff=surf_value;
  991. surf_value.Swap(new_buff);
  992. }
  993. }
  994. buff[indx].Resize(1,buff_size+(extra_size.size()>indx?extra_size[indx]:0));
  995. Real_t* buff_ptr=&buff[indx][0][0];
  996. for(size_t i=0;i<node_lst.size();i++){
  997. { // src_value
  998. Vector<Real_t>& src_value=node_lst[i]->src_value;
  999. mem::memcopy(buff_ptr,&src_value[0],src_value.Dim()*sizeof(Real_t));
  1000. src_value.ReInit((node_lst[i]->src_coord.Dim()/COORD_DIM)*src_dof, buff_ptr, false);
  1001. buff_ptr+=(node_lst[i]->src_coord.Dim()/COORD_DIM)*src_dof;
  1002. }
  1003. { // surf_value
  1004. Vector<Real_t>& surf_value=node_lst[i]->surf_value;
  1005. mem::memcopy(buff_ptr,&surf_value[0],surf_value.Dim()*sizeof(Real_t));
  1006. surf_value.ReInit((node_lst[i]->surf_coord.Dim()/COORD_DIM)*surf_dof, buff_ptr, false);
  1007. buff_ptr+=(node_lst[i]->surf_coord.Dim()/COORD_DIM)*surf_dof;
  1008. }
  1009. }
  1010. buff[indx].AllocDevice(true);
  1011. }
  1012. {// 5. trg_val
  1013. int indx=5;
  1014. int trg_dof=kernel.ker_dim[1];
  1015. std::vector< FMMNode* > node_lst;
  1016. size_t buff_size=0;
  1017. for(size_t i=0;i<node.size();i++)
  1018. if(node[i]->IsLeaf() && !node[i]->IsGhost()){
  1019. node_lst.push_back(node[i]);
  1020. buff_size+=(node[i]->trg_coord.Dim()/COORD_DIM)*trg_dof;
  1021. }
  1022. n_list[indx]=node_lst;
  1023. #pragma omp parallel for
  1024. for(size_t i=0;i<node.size();i++){ // Clear data
  1025. { // trg_value
  1026. Vector<Real_t>& trg_value=node[i]->trg_value;
  1027. trg_value.ReInit(0);
  1028. }
  1029. }
  1030. buff[indx].Resize(1,buff_size+(extra_size.size()>indx?extra_size[indx]:0));
  1031. Real_t* buff_ptr=&buff[indx][0][0];
  1032. for(size_t i=0;i<node_lst.size();i++){
  1033. { // trg_value
  1034. Vector<Real_t>& trg_value=node_lst[i]->trg_value;
  1035. trg_value.ReInit((node_lst[i]->trg_coord.Dim()/COORD_DIM)*trg_dof, buff_ptr, false);
  1036. buff_ptr+=(node_lst[i]->trg_coord.Dim()/COORD_DIM)*trg_dof;
  1037. }
  1038. }
  1039. #pragma omp parallel for
  1040. for(size_t i=0;i<node_lst.size();i++){
  1041. Vector<Real_t>& trg_value=node_lst[i]->trg_value;
  1042. trg_value.SetZero();
  1043. }
  1044. buff[indx].AllocDevice(true);
  1045. }
  1046. {// 6. pts_coord
  1047. int indx=6;
  1048. size_t m=MultipoleOrder();
  1049. std::vector< FMMNode* > node_lst;
  1050. size_t buff_size=0;
  1051. for(size_t i=0;i<node.size();i++)
  1052. if(node[i]->IsLeaf()){
  1053. node_lst.push_back(node[i]);
  1054. buff_size+=node[i]->src_coord.Dim();
  1055. buff_size+=node[i]->surf_coord.Dim();
  1056. buff_size+=node[i]->trg_coord.Dim();
  1057. }
  1058. n_list[indx]=node_lst;
  1059. #pragma omp parallel for
  1060. for(size_t i=0;i<node.size();i++){ // Move data before resizing buff[indx]
  1061. { // src_coord
  1062. Vector<Real_t>& src_coord=node[i]->src_coord;
  1063. Vector<Real_t> new_buff=src_coord;
  1064. src_coord.Swap(new_buff);
  1065. }
  1066. { // surf_coord
  1067. Vector<Real_t>& surf_coord=node[i]->surf_coord;
  1068. Vector<Real_t> new_buff=surf_coord;
  1069. surf_coord.Swap(new_buff);
  1070. }
  1071. { // trg_coord
  1072. Vector<Real_t>& trg_coord=node[i]->trg_coord;
  1073. Vector<Real_t> new_buff=trg_coord;
  1074. trg_coord.Swap(new_buff);
  1075. }
  1076. }
  1077. buff_size+=(extra_size.size()>indx?extra_size[indx]:0);
  1078. buff_size+=4*MAX_DEPTH*(6*(m-1)*(m-1)+2)*COORD_DIM;
  1079. buff[indx].Resize(1,buff_size);
  1080. Real_t* buff_ptr=&buff[indx][0][0];
  1081. for(size_t i=0;i<node_lst.size();i++){
  1082. { // src_coord
  1083. Vector<Real_t>& src_coord=node_lst[i]->src_coord;
  1084. mem::memcopy(buff_ptr,&src_coord[0],src_coord.Dim()*sizeof(Real_t));
  1085. src_coord.ReInit(node_lst[i]->src_coord.Dim(), buff_ptr, false);
  1086. buff_ptr+=node_lst[i]->src_coord.Dim();
  1087. }
  1088. { // surf_coord
  1089. Vector<Real_t>& surf_coord=node_lst[i]->surf_coord;
  1090. mem::memcopy(buff_ptr,&surf_coord[0],surf_coord.Dim()*sizeof(Real_t));
  1091. surf_coord.ReInit(node_lst[i]->surf_coord.Dim(), buff_ptr, false);
  1092. buff_ptr+=node_lst[i]->surf_coord.Dim();
  1093. }
  1094. { // trg_coord
  1095. Vector<Real_t>& trg_coord=node_lst[i]->trg_coord;
  1096. mem::memcopy(buff_ptr,&trg_coord[0],trg_coord.Dim()*sizeof(Real_t));
  1097. trg_coord.ReInit(node_lst[i]->trg_coord.Dim(), buff_ptr, false);
  1098. buff_ptr+=node_lst[i]->trg_coord.Dim();
  1099. }
  1100. }
  1101. { // check and equiv surfaces.
  1102. upwd_check_surf.resize(MAX_DEPTH);
  1103. upwd_equiv_surf.resize(MAX_DEPTH);
  1104. dnwd_check_surf.resize(MAX_DEPTH);
  1105. dnwd_equiv_surf.resize(MAX_DEPTH);
  1106. for(size_t depth=0;depth<MAX_DEPTH;depth++){
  1107. Real_t c[3]={0.0,0.0,0.0};
  1108. 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;
  1109. 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;
  1110. 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;
  1111. 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;
  1112. upwd_check_surf[depth]=u_check_surf(m,c,depth);
  1113. upwd_equiv_surf[depth]=u_equiv_surf(m,c,depth);
  1114. dnwd_check_surf[depth]=d_check_surf(m,c,depth);
  1115. dnwd_equiv_surf[depth]=d_equiv_surf(m,c,depth);
  1116. }
  1117. }
  1118. buff[indx].AllocDevice(true);
  1119. }
  1120. }
  1121. template <class FMMNode>
  1122. void FMM_Pts<FMMNode>::SetupPrecomp(SetupData<Real_t>& setup_data, bool device){
  1123. if(setup_data.precomp_data==NULL || setup_data.level>MAX_DEPTH) return;
  1124. Profile::Tic("SetupPrecomp",&this->comm,true,25);
  1125. { // Build precomp_data
  1126. size_t precomp_offset=0;
  1127. int level=setup_data.level;
  1128. Matrix<char>& precomp_data=*setup_data.precomp_data;
  1129. std::vector<Mat_Type>& interac_type_lst=setup_data.interac_type;
  1130. for(size_t type_indx=0; type_indx<interac_type_lst.size(); type_indx++){
  1131. Mat_Type& interac_type=interac_type_lst[type_indx];
  1132. this->PrecompAll(interac_type, level); // Compute matrices.
  1133. precomp_offset=this->mat->CompactData(level, interac_type, precomp_data, precomp_offset);
  1134. }
  1135. }
  1136. Profile::Toc();
  1137. if(device){ // Host2Device
  1138. Profile::Tic("Host2Device",&this->comm,false,25);
  1139. setup_data.precomp_data->AllocDevice(true);
  1140. Profile::Toc();
  1141. }
  1142. }
  1143. template <class FMMNode>
  1144. void FMM_Pts<FMMNode>::SetupInterac(SetupData<Real_t>& setup_data, bool device){
  1145. int level=setup_data.level;
  1146. std::vector<Mat_Type>& interac_type_lst=setup_data.interac_type;
  1147. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  1148. std::vector<void*>& nodes_out=setup_data.nodes_out;
  1149. Matrix<Real_t>& input_data=*setup_data. input_data;
  1150. Matrix<Real_t>& output_data=*setup_data.output_data;
  1151. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector;
  1152. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector;
  1153. size_t n_in =nodes_in .size();
  1154. size_t n_out=nodes_out.size();
  1155. // Setup precomputed data.
  1156. SetupPrecomp(setup_data,device);
  1157. // Build interac_data
  1158. Profile::Tic("Interac-Data",&this->comm,true,25);
  1159. Matrix<char>& interac_data=setup_data.interac_data;
  1160. if(n_out>0 && n_in >0){ // Build precomp_data, interac_data
  1161. std::vector<size_t> interac_mat;
  1162. std::vector<size_t> interac_cnt;
  1163. std::vector<size_t> interac_blk;
  1164. std::vector<size_t> input_perm;
  1165. std::vector<size_t> output_perm;
  1166. std::vector<Real_t> scaling;
  1167. size_t dof=0, M_dim0=0, M_dim1=0;
  1168. size_t precomp_offset=0;
  1169. size_t buff_size=DEVICE_BUFFER_SIZE*1024l*1024l;
  1170. for(size_t type_indx=0; type_indx<interac_type_lst.size(); type_indx++){
  1171. Mat_Type& interac_type=interac_type_lst[type_indx];
  1172. size_t mat_cnt=this->interac_list.ListCount(interac_type);
  1173. Vector<size_t> precomp_data_offset;
  1174. { // Load precomp_data for interac_type.
  1175. Matrix<char>& precomp_data=*setup_data.precomp_data;
  1176. char* indx_ptr=precomp_data[0]+precomp_offset;
  1177. size_t total_size=((size_t*)indx_ptr)[0]; indx_ptr+=sizeof(size_t);
  1178. /*size_t mat_cnt_ =((size_t*)indx_ptr)[0];*/ indx_ptr+=sizeof(size_t);
  1179. precomp_data_offset.ReInit((1+2+2)*mat_cnt, (size_t*)indx_ptr, false);
  1180. precomp_offset+=total_size;
  1181. }
  1182. Matrix<FMMNode*> src_interac_list(n_in ,mat_cnt); src_interac_list.SetZero();
  1183. Matrix<FMMNode*> trg_interac_list(n_out,mat_cnt); trg_interac_list.SetZero();
  1184. { // Build trg_interac_list
  1185. for(size_t i=0;i<n_out;i++){
  1186. if(!((FMMNode*)nodes_out[i])->IsGhost() && (level==-1 || ((FMMNode*)nodes_out[i])->Depth()==level)){
  1187. std::vector<FMMNode*>& lst=((FMMNode*)nodes_out[i])->interac_list[interac_type];
  1188. mem::memcopy(&trg_interac_list[i][0], &lst[0], lst.size()*sizeof(FMMNode*));
  1189. assert(lst.size()==mat_cnt);
  1190. }
  1191. }
  1192. }
  1193. { // Build src_interac_list
  1194. for(size_t i=0;i<n_in ;i++) ((FMMNode*)nodes_in [i])->node_id=i;
  1195. for(size_t i=0;i<n_out;i++){
  1196. for(size_t j=0;j<mat_cnt;j++)
  1197. if(trg_interac_list[i][j]!=NULL){
  1198. src_interac_list[trg_interac_list[i][j]->node_id][j]=(FMMNode*)nodes_out[i];
  1199. }
  1200. }
  1201. }
  1202. Matrix<size_t> interac_dsp(n_out,mat_cnt);
  1203. std::vector<size_t> interac_blk_dsp(1,0);
  1204. { // Determine dof, M_dim0, M_dim1
  1205. dof=1;
  1206. Matrix<Real_t>& M0 = this->interac_list.ClassMat(level, interac_type_lst[0], 0);
  1207. M_dim0=M0.Dim(0); M_dim1=M0.Dim(1);
  1208. }
  1209. { // Determine interaction blocks which fit in memory.
  1210. size_t vec_size=(M_dim0+M_dim1)*sizeof(Real_t)*dof;
  1211. for(size_t j=0;j<mat_cnt;j++){// Determine minimum buff_size
  1212. size_t vec_cnt=0;
  1213. for(size_t i=0;i<n_out;i++){
  1214. if(trg_interac_list[i][j]!=NULL) vec_cnt++;
  1215. }
  1216. if(buff_size<vec_cnt*vec_size)
  1217. buff_size=vec_cnt*vec_size;
  1218. }
  1219. size_t interac_dsp_=0;
  1220. for(size_t j=0;j<mat_cnt;j++){
  1221. for(size_t i=0;i<n_out;i++){
  1222. interac_dsp[i][j]=interac_dsp_;
  1223. if(trg_interac_list[i][j]!=NULL) interac_dsp_++;
  1224. }
  1225. if(interac_dsp_*vec_size>buff_size) // Comment to disable symmetries.
  1226. {
  1227. interac_blk.push_back(j-interac_blk_dsp.back());
  1228. interac_blk_dsp.push_back(j);
  1229. size_t offset=interac_dsp[0][j];
  1230. for(size_t i=0;i<n_out;i++) interac_dsp[i][j]-=offset;
  1231. interac_dsp_-=offset;
  1232. assert(interac_dsp_*vec_size<=buff_size); // Problem too big for buff_size.
  1233. }
  1234. interac_mat.push_back(precomp_data_offset[5*this->interac_list.InteracClass(interac_type,j)+0]);
  1235. interac_cnt.push_back(interac_dsp_-interac_dsp[0][j]);
  1236. }
  1237. interac_blk.push_back(mat_cnt-interac_blk_dsp.back());
  1238. interac_blk_dsp.push_back(mat_cnt);
  1239. }
  1240. { // Determine input_perm.
  1241. size_t vec_size=M_dim0*dof;
  1242. for(size_t i=0;i<n_out;i++) ((FMMNode*)nodes_out[i])->node_id=i;
  1243. for(size_t k=1;k<interac_blk_dsp.size();k++){
  1244. for(size_t i=0;i<n_in ;i++){
  1245. for(size_t j=interac_blk_dsp[k-1];j<interac_blk_dsp[k];j++){
  1246. FMMNode_t* trg_node=src_interac_list[i][j];
  1247. if(trg_node!=NULL){
  1248. input_perm .push_back(precomp_data_offset[5*j+1]); // prem
  1249. input_perm .push_back(precomp_data_offset[5*j+2]); // scal
  1250. input_perm .push_back(interac_dsp[trg_node->node_id][j]*vec_size*sizeof(Real_t)); // trg_ptr
  1251. input_perm .push_back((size_t)(& input_vector[i][0][0]- input_data[0])); // src_ptr
  1252. assert(input_vector[i]->Dim()==vec_size);
  1253. }
  1254. }
  1255. }
  1256. }
  1257. }
  1258. { // Determine scaling and output_perm
  1259. size_t vec_size=M_dim1*dof;
  1260. for(size_t k=1;k<interac_blk_dsp.size();k++){
  1261. for(size_t i=0;i<n_out;i++){
  1262. Real_t scaling_=0.0;
  1263. if(!this->Homogen()) scaling_=1.0;
  1264. else if(interac_type==S2U_Type) scaling_=pow(0.5, COORD_DIM *((FMMNode*)nodes_out[i])->Depth());
  1265. else if(interac_type==U2U_Type) scaling_=1.0;
  1266. else if(interac_type==D2D_Type) scaling_=1.0;
  1267. else if(interac_type==D2T_Type) scaling_=pow(0.5, -setup_data.kernel->poten_scale *((FMMNode*)nodes_out[i])->Depth());
  1268. else if(interac_type== U0_Type) scaling_=pow(0.5,(COORD_DIM-setup_data.kernel->poten_scale)*((FMMNode*)nodes_out[i])->Depth());
  1269. else if(interac_type== U1_Type) scaling_=pow(0.5,(COORD_DIM-setup_data.kernel->poten_scale)*((FMMNode*)nodes_out[i])->Depth());
  1270. else if(interac_type== U2_Type) scaling_=pow(0.5,(COORD_DIM-setup_data.kernel->poten_scale)*((FMMNode*)nodes_out[i])->Depth());
  1271. else if(interac_type== W_Type) scaling_=pow(0.5, -setup_data.kernel->poten_scale *((FMMNode*)nodes_out[i])->Depth());
  1272. else if(interac_type== X_Type) scaling_=pow(0.5, COORD_DIM *((FMMNode*)nodes_out[i])->Depth());
  1273. for(size_t j=interac_blk_dsp[k-1];j<interac_blk_dsp[k];j++){
  1274. if(trg_interac_list[i][j]!=NULL){
  1275. scaling.push_back(scaling_); // scaling
  1276. output_perm.push_back(precomp_data_offset[5*j+3]); // prem
  1277. output_perm.push_back(precomp_data_offset[5*j+4]); // scal
  1278. output_perm.push_back(interac_dsp[ i ][j]*vec_size*sizeof(Real_t)); // src_ptr
  1279. output_perm.push_back((size_t)(&output_vector[i][0][0]-output_data[0])); // trg_ptr
  1280. assert(output_vector[i]->Dim()==vec_size);
  1281. }
  1282. }
  1283. }
  1284. }
  1285. }
  1286. }
  1287. if(this->dev_buffer.Dim()<buff_size) this->dev_buffer.Resize(buff_size);
  1288. if(this->cpu_buffer.Dim()<buff_size) this->cpu_buffer.Resize(buff_size);
  1289. { // Set interac_data.
  1290. size_t data_size=sizeof(size_t)*4;
  1291. data_size+=sizeof(size_t)+interac_blk.size()*sizeof(size_t);
  1292. data_size+=sizeof(size_t)+interac_cnt.size()*sizeof(size_t);
  1293. data_size+=sizeof(size_t)+interac_mat.size()*sizeof(size_t);
  1294. data_size+=sizeof(size_t)+ input_perm.size()*sizeof(size_t);
  1295. data_size+=sizeof(size_t)+output_perm.size()*sizeof(size_t);
  1296. data_size+=sizeof(size_t)+scaling.size()*sizeof(Real_t);
  1297. if(interac_data.Dim(0)*interac_data.Dim(1)<sizeof(size_t)){
  1298. data_size+=sizeof(size_t);
  1299. interac_data.Resize(1,data_size);
  1300. ((size_t*)&interac_data[0][0])[0]=sizeof(size_t);
  1301. }else{
  1302. size_t pts_data_size=*((size_t*)&interac_data[0][0]);
  1303. assert(interac_data.Dim(0)*interac_data.Dim(1)>=pts_data_size);
  1304. data_size+=pts_data_size;
  1305. if(data_size>interac_data.Dim(0)*interac_data.Dim(1)){ //Resize and copy interac_data.
  1306. Matrix< char> pts_interac_data=interac_data;
  1307. interac_data.Resize(1,data_size);
  1308. mem::memcopy(&interac_data[0][0],&pts_interac_data[0][0],pts_data_size);
  1309. }
  1310. }
  1311. char* data_ptr=&interac_data[0][0];
  1312. data_ptr+=((size_t*)data_ptr)[0];
  1313. ((size_t*)data_ptr)[0]=data_size; data_ptr+=sizeof(size_t);
  1314. ((size_t*)data_ptr)[0]= M_dim0; data_ptr+=sizeof(size_t);
  1315. ((size_t*)data_ptr)[0]= M_dim1; data_ptr+=sizeof(size_t);
  1316. ((size_t*)data_ptr)[0]= dof; data_ptr+=sizeof(size_t);
  1317. ((size_t*)data_ptr)[0]=interac_blk.size(); data_ptr+=sizeof(size_t);
  1318. mem::memcopy(data_ptr, &interac_blk[0], interac_blk.size()*sizeof(size_t));
  1319. data_ptr+=interac_blk.size()*sizeof(size_t);
  1320. ((size_t*)data_ptr)[0]=interac_cnt.size(); data_ptr+=sizeof(size_t);
  1321. mem::memcopy(data_ptr, &interac_cnt[0], interac_cnt.size()*sizeof(size_t));
  1322. data_ptr+=interac_cnt.size()*sizeof(size_t);
  1323. ((size_t*)data_ptr)[0]=interac_mat.size(); data_ptr+=sizeof(size_t);
  1324. mem::memcopy(data_ptr, &interac_mat[0], interac_mat.size()*sizeof(size_t));
  1325. data_ptr+=interac_mat.size()*sizeof(size_t);
  1326. ((size_t*)data_ptr)[0]= input_perm.size(); data_ptr+=sizeof(size_t);
  1327. mem::memcopy(data_ptr, & input_perm[0], input_perm.size()*sizeof(size_t));
  1328. data_ptr+= input_perm.size()*sizeof(size_t);
  1329. ((size_t*)data_ptr)[0]=output_perm.size(); data_ptr+=sizeof(size_t);
  1330. mem::memcopy(data_ptr, &output_perm[0], output_perm.size()*sizeof(size_t));
  1331. data_ptr+=output_perm.size()*sizeof(size_t);
  1332. ((size_t*)data_ptr)[0]=scaling.size(); data_ptr+=sizeof(size_t);
  1333. mem::memcopy(data_ptr, &scaling[0], scaling.size()*sizeof(Real_t));
  1334. data_ptr+=scaling.size()*sizeof(Real_t);
  1335. }
  1336. }
  1337. Profile::Toc();
  1338. if(device){ // Host2Device
  1339. Profile::Tic("Host2Device",&this->comm,false,25);
  1340. setup_data.interac_data .AllocDevice(true);
  1341. Profile::Toc();
  1342. }
  1343. }
  1344. template <class FMMNode>
  1345. void FMM_Pts<FMMNode>::EvalList(SetupData<Real_t>& setup_data, bool device){
  1346. if(setup_data.interac_data.Dim(0)==0 || setup_data.interac_data.Dim(1)==0){
  1347. Profile::Tic("Host2Device",&this->comm,false,25);
  1348. Profile::Toc();
  1349. Profile::Tic("DeviceComp",&this->comm,false,20);
  1350. Profile::Toc();
  1351. return;
  1352. }
  1353. Profile::Tic("Host2Device",&this->comm,false,25);
  1354. typename Vector<char>::Device buff;
  1355. typename Matrix<char>::Device precomp_data;
  1356. typename Matrix<char>::Device interac_data;
  1357. typename Matrix<Real_t>::Device input_data;
  1358. typename Matrix<Real_t>::Device output_data;
  1359. if(device){
  1360. buff = this-> dev_buffer. AllocDevice(false);
  1361. precomp_data= setup_data.precomp_data->AllocDevice(false);
  1362. interac_data= setup_data.interac_data. AllocDevice(false);
  1363. input_data = setup_data. input_data->AllocDevice(false);
  1364. output_data = setup_data. output_data->AllocDevice(false);
  1365. }else{
  1366. buff = this-> cpu_buffer;
  1367. precomp_data=*setup_data.precomp_data;
  1368. interac_data= setup_data.interac_data;
  1369. input_data =*setup_data. input_data;
  1370. output_data =*setup_data. output_data;
  1371. }
  1372. Profile::Toc();
  1373. Profile::Tic("DeviceComp",&this->comm,false,20);
  1374. #ifdef __INTEL_OFFLOAD
  1375. int lock_idx=-1;
  1376. int wait_lock_idx=-1;
  1377. if(device) wait_lock_idx=MIC_Lock::curr_lock();
  1378. if(device) lock_idx=MIC_Lock::get_lock();
  1379. #pragma offload if(device) target(mic:0) signal(&MIC_Lock::lock_vec[device?lock_idx:0])
  1380. #endif
  1381. { // Offloaded computation.
  1382. // Set interac_data.
  1383. size_t data_size, M_dim0, M_dim1, dof;
  1384. Vector<size_t> interac_blk;
  1385. Vector<size_t> interac_cnt;
  1386. Vector<size_t> interac_mat;
  1387. Vector<size_t> input_perm;
  1388. Vector<size_t> output_perm;
  1389. Vector<Real_t> scaling;
  1390. { // Set interac_data.
  1391. char* data_ptr=&interac_data[0][0];
  1392. data_size=((size_t*)data_ptr)[0]; data_ptr+=data_size;
  1393. data_size=((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  1394. M_dim0 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  1395. M_dim1 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  1396. dof =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  1397. interac_blk.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1398. data_ptr+=sizeof(size_t)+interac_blk.Dim()*sizeof(size_t);
  1399. interac_cnt.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1400. data_ptr+=sizeof(size_t)+interac_cnt.Dim()*sizeof(size_t);
  1401. interac_mat.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1402. data_ptr+=sizeof(size_t)+interac_mat.Dim()*sizeof(size_t);
  1403. input_perm .ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1404. data_ptr+=sizeof(size_t)+ input_perm.Dim()*sizeof(size_t);
  1405. output_perm.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1406. data_ptr+=sizeof(size_t)+output_perm.Dim()*sizeof(size_t);
  1407. scaling.ReInit(((size_t*)data_ptr)[0],(Real_t*)(data_ptr+sizeof(size_t)),false);
  1408. data_ptr+=sizeof(size_t)+scaling.Dim()*sizeof(Real_t);
  1409. }
  1410. #ifdef __INTEL_OFFLOAD
  1411. if(device) MIC_Lock::wait_lock(wait_lock_idx);
  1412. #endif
  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. #ifdef __INTEL_OFFLOAD
  1560. if(device) MIC_Lock::release_lock(lock_idx);
  1561. #endif
  1562. }
  1563. #ifndef __MIC_ASYNCH__
  1564. #ifdef __INTEL_OFFLOAD
  1565. #pragma offload if(device) target(mic:0)
  1566. {if(device) MIC_Lock::wait_lock(lock_idx);}
  1567. #endif
  1568. #endif
  1569. Profile::Toc();
  1570. }
  1571. template <class FMMNode>
  1572. 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){
  1573. if(this->MultipoleOrder()==0) return;
  1574. { // Set setup_data
  1575. setup_data.level=level;
  1576. setup_data.kernel=&aux_kernel;
  1577. setup_data.interac_type.resize(1);
  1578. setup_data.interac_type[0]=S2U_Type;
  1579. setup_data. input_data=&buff[4];
  1580. setup_data.output_data=&buff[0];
  1581. setup_data. coord_data=&buff[6];
  1582. Vector<FMMNode_t*>& nodes_in =n_list[4];
  1583. Vector<FMMNode_t*>& nodes_out=n_list[0];
  1584. setup_data.nodes_in .clear();
  1585. setup_data.nodes_out.clear();
  1586. 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]);
  1587. 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]);
  1588. }
  1589. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  1590. std::vector<void*>& nodes_out=setup_data.nodes_out;
  1591. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  1592. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  1593. for(size_t i=0;i<nodes_in .size();i++){
  1594. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_coord);
  1595. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_value);
  1596. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_coord);
  1597. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_value);
  1598. }
  1599. for(size_t i=0;i<nodes_out.size();i++){
  1600. output_vector.push_back(&upwd_check_surf[((FMMNode*)nodes_out[i])->Depth()]);
  1601. output_vector.push_back(&((FMMData*)((FMMNode*)nodes_out[i])->FMMData())->upward_equiv);
  1602. }
  1603. //Upward check to upward equivalent matrix.
  1604. Matrix<Real_t>& M_uc2ue = this->mat->Mat(level, UC2UE_Type, 0);
  1605. this->SetupInteracPts(setup_data, false, true, &M_uc2ue,device);
  1606. { // Resize device buffer
  1607. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  1608. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  1609. }
  1610. }
  1611. template <class FMMNode>
  1612. void FMM_Pts<FMMNode>::Source2Up(SetupData<Real_t>& setup_data, bool device){
  1613. //Add Source2Up contribution.
  1614. this->EvalListPts(setup_data, device);
  1615. }
  1616. template <class FMMNode>
  1617. 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){
  1618. if(this->MultipoleOrder()==0) return;
  1619. { // Set setup_data
  1620. setup_data.level=level;
  1621. setup_data.kernel=&aux_kernel;
  1622. setup_data.interac_type.resize(1);
  1623. setup_data.interac_type[0]=U2U_Type;
  1624. setup_data. input_data=&buff[0];
  1625. setup_data.output_data=&buff[0];
  1626. Vector<FMMNode_t*>& nodes_in =n_list[0];
  1627. Vector<FMMNode_t*>& nodes_out=n_list[0];
  1628. setup_data.nodes_in .clear();
  1629. setup_data.nodes_out.clear();
  1630. 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]);
  1631. 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]);
  1632. }
  1633. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  1634. std::vector<void*>& nodes_out=setup_data.nodes_out;
  1635. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  1636. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  1637. for(size_t i=0;i<nodes_in .size();i++) input_vector.push_back(&((FMMData*)((FMMNode*)nodes_in [i])->FMMData())->upward_equiv);
  1638. for(size_t i=0;i<nodes_out.size();i++) output_vector.push_back(&((FMMData*)((FMMNode*)nodes_out[i])->FMMData())->upward_equiv);
  1639. SetupInterac(setup_data,device);
  1640. }
  1641. template <class FMMNode>
  1642. void FMM_Pts<FMMNode>::Up2Up (SetupData<Real_t>& setup_data, bool device){
  1643. //Add Up2Up contribution.
  1644. EvalList(setup_data, device);
  1645. }
  1646. template <class FMMNode>
  1647. void FMM_Pts<FMMNode>::PeriodicBC(FMMNode* node){
  1648. if(this->MultipoleOrder()==0) return;
  1649. Matrix<Real_t>& M = Precomp(0, BC_Type, 0);
  1650. assert(node->FMMData()->upward_equiv.Dim()>0);
  1651. int dof=1;
  1652. Vector<Real_t>& upward_equiv=node->FMMData()->upward_equiv;
  1653. Vector<Real_t>& dnward_equiv=node->FMMData()->dnward_equiv;
  1654. assert(upward_equiv.Dim()==M.Dim(0)*dof);
  1655. assert(dnward_equiv.Dim()==M.Dim(1)*dof);
  1656. Matrix<Real_t> d_equiv(dof,M.Dim(0),&dnward_equiv[0],false);
  1657. Matrix<Real_t> u_equiv(dof,M.Dim(1),&upward_equiv[0],false);
  1658. Matrix<Real_t>::DGEMM(d_equiv,u_equiv,M);
  1659. }
  1660. template <class FMMNode>
  1661. void FMM_Pts<FMMNode>::FFT_UpEquiv(size_t dof, size_t m, size_t ker_dim0, Vector<size_t>& fft_vec,
  1662. Vector<Real_t>& input_data, Vector<Real_t>& output_data, Vector<Real_t>& buffer_){
  1663. size_t n1=m*2;
  1664. size_t n2=n1*n1;
  1665. size_t n3=n1*n2;
  1666. size_t n3_=n2*(n1/2+1);
  1667. size_t chld_cnt=1UL<<COORD_DIM;
  1668. size_t fftsize_in =2*n3_*chld_cnt*ker_dim0*dof;
  1669. int omp_p=omp_get_max_threads();
  1670. //Load permutation map.
  1671. size_t n=6*(m-1)*(m-1)+2;
  1672. static Vector<size_t> map;
  1673. { // Build map to reorder upward_equiv
  1674. size_t n_old=map.Dim();
  1675. if(n_old!=n){
  1676. Real_t c[3]={0,0,0};
  1677. Vector<Real_t> surf=surface(m, c, (Real_t)(m-1), 0);
  1678. map.Resize(surf.Dim()/COORD_DIM);
  1679. for(size_t i=0;i<map.Dim();i++)
  1680. 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;
  1681. }
  1682. }
  1683. { // Build FFTW plan.
  1684. if(!vlist_fft_flag){
  1685. int nnn[3]={(int)n1,(int)n1,(int)n1};
  1686. void *fftw_in, *fftw_out;
  1687. fftw_in = mem::aligned_malloc<Real_t>( n3 *ker_dim0*chld_cnt);
  1688. fftw_out = mem::aligned_malloc<Real_t>(2*n3_*ker_dim0*chld_cnt);
  1689. vlist_fftplan = FFTW_t<Real_t>::fft_plan_many_dft_r2c(COORD_DIM,nnn,ker_dim0*chld_cnt,
  1690. (Real_t*)fftw_in, NULL, 1, n3, (typename FFTW_t<Real_t>::cplx*)(fftw_out),NULL, 1, n3_, FFTW_ESTIMATE);
  1691. mem::aligned_free<Real_t>((Real_t*)fftw_in );
  1692. mem::aligned_free<Real_t>((Real_t*)fftw_out);
  1693. vlist_fft_flag=true;
  1694. }
  1695. }
  1696. { // Offload section
  1697. size_t n_in = fft_vec.Dim();
  1698. #pragma omp parallel for
  1699. for(int pid=0; pid<omp_p; pid++){
  1700. size_t node_start=(n_in*(pid ))/omp_p;
  1701. size_t node_end =(n_in*(pid+1))/omp_p;
  1702. Vector<Real_t> buffer(fftsize_in, &buffer_[fftsize_in*pid], false);
  1703. for(size_t node_idx=node_start; node_idx<node_end; node_idx++){
  1704. Vector<Real_t*> upward_equiv(chld_cnt);
  1705. for(size_t i=0;i<chld_cnt;i++) upward_equiv[i]=&input_data[0] + fft_vec[node_idx] + n*ker_dim0*dof*i;
  1706. Vector<Real_t> upward_equiv_fft(fftsize_in, &output_data[fftsize_in *node_idx], false);
  1707. upward_equiv_fft.SetZero();
  1708. // Rearrange upward equivalent data.
  1709. for(size_t k=0;k<n;k++){
  1710. size_t idx=map[k];
  1711. for(int j1=0;j1<dof;j1++)
  1712. for(int j0=0;j0<(int)chld_cnt;j0++)
  1713. for(int i=0;i<ker_dim0;i++)
  1714. upward_equiv_fft[idx+(j0+(i+j1*ker_dim0)*chld_cnt)*n3]=upward_equiv[j0][ker_dim0*(n*j1+k)+i];
  1715. }
  1716. // Compute FFT.
  1717. for(int i=0;i<dof;i++)
  1718. FFTW_t<Real_t>::fft_execute_dft_r2c(vlist_fftplan, (Real_t*)&upward_equiv_fft[i* n3 *ker_dim0*chld_cnt],
  1719. (typename FFTW_t<Real_t>::cplx*)&buffer [i*2*n3_*ker_dim0*chld_cnt]);
  1720. //Compute flops.
  1721. #ifndef FFTW3_MKL
  1722. double add, mul, fma;
  1723. FFTW_t<Real_t>::fftw_flops(vlist_fftplan, &add, &mul, &fma);
  1724. #ifndef __INTEL_OFFLOAD0
  1725. Profile::Add_FLOP((long long)(add+mul+2*fma));
  1726. #endif
  1727. #endif
  1728. for(int i=0;i<ker_dim0*dof;i++)
  1729. for(size_t j=0;j<n3_;j++)
  1730. for(size_t k=0;k<chld_cnt;k++){
  1731. upward_equiv_fft[2*(chld_cnt*(n3_*i+j)+k)+0]=buffer[2*(n3_*(chld_cnt*i+k)+j)+0];
  1732. upward_equiv_fft[2*(chld_cnt*(n3_*i+j)+k)+1]=buffer[2*(n3_*(chld_cnt*i+k)+j)+1];
  1733. }
  1734. }
  1735. }
  1736. }
  1737. }
  1738. template <class FMMNode>
  1739. void FMM_Pts<FMMNode>::FFT_Check2Equiv(size_t dof, size_t m, size_t ker_dim1, Vector<size_t>& ifft_vec,
  1740. Vector<Real_t>& input_data, Vector<Real_t>& output_data, Vector<Real_t>& buffer_, Matrix<Real_t>& M){
  1741. size_t n1=m*2;
  1742. size_t n2=n1*n1;
  1743. size_t n3=n1*n2;
  1744. size_t n3_=n2*(n1/2+1);
  1745. size_t chld_cnt=1UL<<COORD_DIM;
  1746. size_t fftsize_out=2*n3_*dof*ker_dim1*chld_cnt;
  1747. int omp_p=omp_get_max_threads();
  1748. //Load permutation map.
  1749. size_t n=6*(m-1)*(m-1)+2;
  1750. static Vector<size_t> map;
  1751. { // Build map to reorder dnward_check
  1752. size_t n_old=map.Dim();
  1753. if(n_old!=n){
  1754. Real_t c[3]={0,0,0};
  1755. Vector<Real_t> surf=surface(m, c, (Real_t)(m-1), 0);
  1756. map.Resize(surf.Dim()/COORD_DIM);
  1757. for(size_t i=0;i<map.Dim();i++)
  1758. 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;
  1759. //map;//.AllocDevice(true);
  1760. }
  1761. }
  1762. { // Build FFTW plan.
  1763. if(!vlist_ifft_flag){
  1764. //Build FFTW plan.
  1765. int nnn[3]={(int)n1,(int)n1,(int)n1};
  1766. Real_t *fftw_in, *fftw_out;
  1767. fftw_in = mem::aligned_malloc<Real_t>(2*n3_*ker_dim1*chld_cnt);
  1768. fftw_out = mem::aligned_malloc<Real_t>( n3 *ker_dim1*chld_cnt);
  1769. vlist_ifftplan = FFTW_t<Real_t>::fft_plan_many_dft_c2r(COORD_DIM,nnn,ker_dim1*chld_cnt,
  1770. (typename FFTW_t<Real_t>::cplx*)fftw_in, NULL, 1, n3_, (Real_t*)(fftw_out),NULL, 1, n3, FFTW_ESTIMATE);
  1771. mem::aligned_free<Real_t>(fftw_in);
  1772. mem::aligned_free<Real_t>(fftw_out);
  1773. vlist_ifft_flag=true;
  1774. }
  1775. }
  1776. { // Offload section
  1777. size_t n_out=ifft_vec.Dim();
  1778. #pragma omp parallel for
  1779. for(int pid=0; pid<omp_p; pid++){
  1780. size_t node_start=(n_out*(pid ))/omp_p;
  1781. size_t node_end =(n_out*(pid+1))/omp_p;
  1782. Vector<Real_t> buffer(fftsize_out, &buffer_[fftsize_out*pid], false);
  1783. for(size_t node_idx=node_start; node_idx<node_end; node_idx++){
  1784. Vector<Real_t> dnward_check_fft(fftsize_out, &input_data[fftsize_out*node_idx], false);
  1785. //De-interleave data.
  1786. for(int i=0;i<ker_dim1*dof;i++)
  1787. for(size_t j=0;j<n3_;j++)
  1788. for(size_t k=0;k<chld_cnt;k++){
  1789. buffer[2*(n3_*(ker_dim1*dof*k+i)+j)+0]=dnward_check_fft[2*(chld_cnt*(n3_*i+j)+k)+0];
  1790. buffer[2*(n3_*(ker_dim1*dof*k+i)+j)+1]=dnward_check_fft[2*(chld_cnt*(n3_*i+j)+k)+1];
  1791. }
  1792. // Compute FFT.
  1793. for(int i=0;i<dof;i++)
  1794. FFTW_t<Real_t>::fft_execute_dft_c2r(vlist_ifftplan, (typename FFTW_t<Real_t>::cplx*)&buffer [i*2*n3_*ker_dim1*chld_cnt],
  1795. (Real_t*)&dnward_check_fft[i* n3 *ker_dim1*chld_cnt]);
  1796. //Compute flops.
  1797. #ifndef FFTW3_MKL
  1798. double add, mul, fma;
  1799. FFTW_t<Real_t>::fftw_flops(vlist_ifftplan, &add, &mul, &fma);
  1800. #ifndef __INTEL_OFFLOAD0
  1801. Profile::Add_FLOP((long long)(add+mul+2*fma));
  1802. #endif
  1803. #endif
  1804. // Rearrange downward check data.
  1805. for(size_t k=0;k<n;k++){
  1806. size_t idx=map[k];
  1807. for(int j1=0;j1<dof;j1++)
  1808. for(int j0=0;j0<(int)chld_cnt;j0++)
  1809. for(int i=0;i<ker_dim1;i++)
  1810. buffer[ker_dim1*(n*(dof*j0+j1)+k)+i]=dnward_check_fft[idx+(j1+(i+j0*ker_dim1)*dof)*n3];
  1811. }
  1812. // Compute check to equiv.
  1813. for(size_t j=0;j<chld_cnt;j++){
  1814. Matrix<Real_t> d_check(dof,M.Dim(0),&buffer[n*ker_dim1*dof*j],false);
  1815. Matrix<Real_t> d_equiv(dof,M.Dim(1),&output_data[0] + ifft_vec[node_idx] + M.Dim(1)*dof*j,false);
  1816. Matrix<Real_t>::DGEMM(d_equiv,d_check,M,1.0);
  1817. }
  1818. }
  1819. }
  1820. }
  1821. }
  1822. template<class Real_t>
  1823. inline void matmult_8x8x2(Real_t*& M_, Real_t*& IN0, Real_t*& IN1, Real_t*& OUT0, Real_t*& OUT1){
  1824. // Generic code.
  1825. Real_t out_reg000, out_reg001, out_reg010, out_reg011;
  1826. Real_t out_reg100, out_reg101, out_reg110, out_reg111;
  1827. Real_t in_reg000, in_reg001, in_reg010, in_reg011;
  1828. Real_t in_reg100, in_reg101, in_reg110, in_reg111;
  1829. Real_t m_reg000, m_reg001, m_reg010, m_reg011;
  1830. Real_t m_reg100, m_reg101, m_reg110, m_reg111;
  1831. //#pragma unroll
  1832. for(int i1=0;i1<8;i1+=2){
  1833. Real_t* IN0_=IN0;
  1834. Real_t* IN1_=IN1;
  1835. out_reg000=OUT0[ 0]; out_reg001=OUT0[ 1];
  1836. out_reg010=OUT0[ 2]; out_reg011=OUT0[ 3];
  1837. out_reg100=OUT1[ 0]; out_reg101=OUT1[ 1];
  1838. out_reg110=OUT1[ 2]; out_reg111=OUT1[ 3];
  1839. //#pragma unroll
  1840. for(int i2=0;i2<8;i2+=2){
  1841. m_reg000=M_[ 0]; m_reg001=M_[ 1];
  1842. m_reg010=M_[ 2]; m_reg011=M_[ 3];
  1843. m_reg100=M_[16]; m_reg101=M_[17];
  1844. m_reg110=M_[18]; m_reg111=M_[19];
  1845. in_reg000=IN0_[0]; in_reg001=IN0_[1];
  1846. in_reg010=IN0_[2]; in_reg011=IN0_[3];
  1847. in_reg100=IN1_[0]; in_reg101=IN1_[1];
  1848. in_reg110=IN1_[2]; in_reg111=IN1_[3];
  1849. out_reg000 += m_reg000*in_reg000 - m_reg001*in_reg001;
  1850. out_reg001 += m_reg000*in_reg001 + m_reg001*in_reg000;
  1851. out_reg010 += m_reg010*in_reg000 - m_reg011*in_reg001;
  1852. out_reg011 += m_reg010*in_reg001 + m_reg011*in_reg000;
  1853. out_reg000 += m_reg100*in_reg010 - m_reg101*in_reg011;
  1854. out_reg001 += m_reg100*in_reg011 + m_reg101*in_reg010;
  1855. out_reg010 += m_reg110*in_reg010 - m_reg111*in_reg011;
  1856. out_reg011 += m_reg110*in_reg011 + m_reg111*in_reg010;
  1857. out_reg100 += m_reg000*in_reg100 - m_reg001*in_reg101;
  1858. out_reg101 += m_reg000*in_reg101 + m_reg001*in_reg100;
  1859. out_reg110 += m_reg010*in_reg100 - m_reg011*in_reg101;
  1860. out_reg111 += m_reg010*in_reg101 + m_reg011*in_reg100;
  1861. out_reg100 += m_reg100*in_reg110 - m_reg101*in_reg111;
  1862. out_reg101 += m_reg100*in_reg111 + m_reg101*in_reg110;
  1863. out_reg110 += m_reg110*in_reg110 - m_reg111*in_reg111;
  1864. out_reg111 += m_reg110*in_reg111 + m_reg111*in_reg110;
  1865. M_+=32; // Jump to (column+2).
  1866. IN0_+=4;
  1867. IN1_+=4;
  1868. }
  1869. OUT0[ 0]=out_reg000; OUT0[ 1]=out_reg001;
  1870. OUT0[ 2]=out_reg010; OUT0[ 3]=out_reg011;
  1871. OUT1[ 0]=out_reg100; OUT1[ 1]=out_reg101;
  1872. OUT1[ 2]=out_reg110; OUT1[ 3]=out_reg111;
  1873. M_+=4-64*2; // Jump back to first column (row+2).
  1874. OUT0+=4;
  1875. OUT1+=4;
  1876. }
  1877. }
  1878. #if defined(__AVX__) || defined(__SSE3__)
  1879. template<>
  1880. inline void matmult_8x8x2<double>(double*& M_, double*& IN0, double*& IN1, double*& OUT0, double*& OUT1){
  1881. #ifdef __AVX__ //AVX code.
  1882. __m256d out00,out01,out10,out11;
  1883. __m256d out20,out21,out30,out31;
  1884. double* in0__ = IN0;
  1885. double* in1__ = IN1;
  1886. out00 = _mm256_load_pd(OUT0);
  1887. out01 = _mm256_load_pd(OUT1);
  1888. out10 = _mm256_load_pd(OUT0+4);
  1889. out11 = _mm256_load_pd(OUT1+4);
  1890. out20 = _mm256_load_pd(OUT0+8);
  1891. out21 = _mm256_load_pd(OUT1+8);
  1892. out30 = _mm256_load_pd(OUT0+12);
  1893. out31 = _mm256_load_pd(OUT1+12);
  1894. for(int i2=0;i2<8;i2+=2){
  1895. __m256d m00;
  1896. __m256d ot00;
  1897. __m256d mt0,mtt0;
  1898. __m256d in00,in00_r,in01,in01_r;
  1899. in00 = _mm256_broadcast_pd((const __m128d*)in0__);
  1900. in00_r = _mm256_permute_pd(in00,5);
  1901. in01 = _mm256_broadcast_pd((const __m128d*)in1__);
  1902. in01_r = _mm256_permute_pd(in01,5);
  1903. m00 = _mm256_load_pd(M_);
  1904. mt0 = _mm256_unpacklo_pd(m00,m00);
  1905. ot00 = _mm256_mul_pd(mt0,in00);
  1906. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1907. out00 = _mm256_add_pd(out00,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1908. ot00 = _mm256_mul_pd(mt0,in01);
  1909. out01 = _mm256_add_pd(out01,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1910. m00 = _mm256_load_pd(M_+4);
  1911. mt0 = _mm256_unpacklo_pd(m00,m00);
  1912. ot00 = _mm256_mul_pd(mt0,in00);
  1913. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1914. out10 = _mm256_add_pd(out10,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1915. ot00 = _mm256_mul_pd(mt0,in01);
  1916. out11 = _mm256_add_pd(out11,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1917. m00 = _mm256_load_pd(M_+8);
  1918. mt0 = _mm256_unpacklo_pd(m00,m00);
  1919. ot00 = _mm256_mul_pd(mt0,in00);
  1920. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1921. out20 = _mm256_add_pd(out20,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1922. ot00 = _mm256_mul_pd(mt0,in01);
  1923. out21 = _mm256_add_pd(out21,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1924. m00 = _mm256_load_pd(M_+12);
  1925. mt0 = _mm256_unpacklo_pd(m00,m00);
  1926. ot00 = _mm256_mul_pd(mt0,in00);
  1927. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1928. out30 = _mm256_add_pd(out30,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1929. ot00 = _mm256_mul_pd(mt0,in01);
  1930. out31 = _mm256_add_pd(out31,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1931. in00 = _mm256_broadcast_pd((const __m128d*) (in0__+2));
  1932. in00_r = _mm256_permute_pd(in00,5);
  1933. in01 = _mm256_broadcast_pd((const __m128d*) (in1__+2));
  1934. in01_r = _mm256_permute_pd(in01,5);
  1935. m00 = _mm256_load_pd(M_+16);
  1936. mt0 = _mm256_unpacklo_pd(m00,m00);
  1937. ot00 = _mm256_mul_pd(mt0,in00);
  1938. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1939. out00 = _mm256_add_pd(out00,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1940. ot00 = _mm256_mul_pd(mt0,in01);
  1941. out01 = _mm256_add_pd(out01,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1942. m00 = _mm256_load_pd(M_+20);
  1943. mt0 = _mm256_unpacklo_pd(m00,m00);
  1944. ot00 = _mm256_mul_pd(mt0,in00);
  1945. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1946. out10 = _mm256_add_pd(out10,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1947. ot00 = _mm256_mul_pd(mt0,in01);
  1948. out11 = _mm256_add_pd(out11,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1949. m00 = _mm256_load_pd(M_+24);
  1950. mt0 = _mm256_unpacklo_pd(m00,m00);
  1951. ot00 = _mm256_mul_pd(mt0,in00);
  1952. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1953. out20 = _mm256_add_pd(out20,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1954. ot00 = _mm256_mul_pd(mt0,in01);
  1955. out21 = _mm256_add_pd(out21,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1956. m00 = _mm256_load_pd(M_+28);
  1957. mt0 = _mm256_unpacklo_pd(m00,m00);
  1958. ot00 = _mm256_mul_pd(mt0,in00);
  1959. mtt0 = _mm256_unpackhi_pd(m00,m00);
  1960. out30 = _mm256_add_pd(out30,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in00_r)));
  1961. ot00 = _mm256_mul_pd(mt0,in01);
  1962. out31 = _mm256_add_pd(out31,_mm256_addsub_pd(ot00,_mm256_mul_pd(mtt0,in01_r)));
  1963. M_ += 32;
  1964. in0__ += 4;
  1965. in1__ += 4;
  1966. }
  1967. _mm256_store_pd(OUT0,out00);
  1968. _mm256_store_pd(OUT1,out01);
  1969. _mm256_store_pd(OUT0+4,out10);
  1970. _mm256_store_pd(OUT1+4,out11);
  1971. _mm256_store_pd(OUT0+8,out20);
  1972. _mm256_store_pd(OUT1+8,out21);
  1973. _mm256_store_pd(OUT0+12,out30);
  1974. _mm256_store_pd(OUT1+12,out31);
  1975. #elif defined __SSE3__ // SSE code.
  1976. __m128d out00, out01, out10, out11;
  1977. __m128d in00, in01, in10, in11;
  1978. __m128d m00, m01, m10, m11;
  1979. //#pragma unroll
  1980. for(int i1=0;i1<8;i1+=2){
  1981. double* IN0_=IN0;
  1982. double* IN1_=IN1;
  1983. out00 =_mm_load_pd (OUT0 );
  1984. out10 =_mm_load_pd (OUT0+2);
  1985. out01 =_mm_load_pd (OUT1 );
  1986. out11 =_mm_load_pd (OUT1+2);
  1987. //#pragma unroll
  1988. for(int i2=0;i2<8;i2+=2){
  1989. m00 =_mm_load1_pd (M_ );
  1990. m10 =_mm_load1_pd (M_+ 2);
  1991. m01 =_mm_load1_pd (M_+16);
  1992. m11 =_mm_load1_pd (M_+18);
  1993. in00 =_mm_load_pd (IN0_ );
  1994. in10 =_mm_load_pd (IN0_+2);
  1995. in01 =_mm_load_pd (IN1_ );
  1996. in11 =_mm_load_pd (IN1_+2);
  1997. out00 = _mm_add_pd (out00, _mm_mul_pd(m00 , in00 ));
  1998. out00 = _mm_add_pd (out00, _mm_mul_pd(m01 , in10 ));
  1999. out01 = _mm_add_pd (out01, _mm_mul_pd(m00 , in01 ));
  2000. out01 = _mm_add_pd (out01, _mm_mul_pd(m01 , in11 ));
  2001. out10 = _mm_add_pd (out10, _mm_mul_pd(m10 , in00 ));
  2002. out10 = _mm_add_pd (out10, _mm_mul_pd(m11 , in10 ));
  2003. out11 = _mm_add_pd (out11, _mm_mul_pd(m10 , in01 ));
  2004. out11 = _mm_add_pd (out11, _mm_mul_pd(m11 , in11 ));
  2005. m00 =_mm_load1_pd (M_+ 1);
  2006. m10 =_mm_load1_pd (M_+ 2+1);
  2007. m01 =_mm_load1_pd (M_+16+1);
  2008. m11 =_mm_load1_pd (M_+18+1);
  2009. in00 =_mm_shuffle_pd (in00,in00,_MM_SHUFFLE2(0,1));
  2010. in01 =_mm_shuffle_pd (in01,in01,_MM_SHUFFLE2(0,1));
  2011. in10 =_mm_shuffle_pd (in10,in10,_MM_SHUFFLE2(0,1));
  2012. in11 =_mm_shuffle_pd (in11,in11,_MM_SHUFFLE2(0,1));
  2013. out00 = _mm_addsub_pd(out00, _mm_mul_pd(m00, in00));
  2014. out00 = _mm_addsub_pd(out00, _mm_mul_pd(m01, in10));
  2015. out01 = _mm_addsub_pd(out01, _mm_mul_pd(m00, in01));
  2016. out01 = _mm_addsub_pd(out01, _mm_mul_pd(m01, in11));
  2017. out10 = _mm_addsub_pd(out10, _mm_mul_pd(m10, in00));
  2018. out10 = _mm_addsub_pd(out10, _mm_mul_pd(m11, in10));
  2019. out11 = _mm_addsub_pd(out11, _mm_mul_pd(m10, in01));
  2020. out11 = _mm_addsub_pd(out11, _mm_mul_pd(m11, in11));
  2021. M_+=32; // Jump to (column+2).
  2022. IN0_+=4;
  2023. IN1_+=4;
  2024. }
  2025. _mm_store_pd (OUT0 ,out00);
  2026. _mm_store_pd (OUT0+2,out10);
  2027. _mm_store_pd (OUT1 ,out01);
  2028. _mm_store_pd (OUT1+2,out11);
  2029. M_+=4-64*2; // Jump back to first column (row+2).
  2030. OUT0+=4;
  2031. OUT1+=4;
  2032. }
  2033. #endif
  2034. }
  2035. #endif
  2036. #if defined(__SSE3__)
  2037. template<>
  2038. inline void matmult_8x8x2<float>(float*& M_, float*& IN0, float*& IN1, float*& OUT0, float*& OUT1){
  2039. #if defined __SSE3__ // SSE code.
  2040. __m128 out00,out01,out10,out11;
  2041. __m128 out20,out21,out30,out31;
  2042. float* in0__ = IN0;
  2043. float* in1__ = IN1;
  2044. out00 = _mm_load_ps(OUT0);
  2045. out01 = _mm_load_ps(OUT1);
  2046. out10 = _mm_load_ps(OUT0+4);
  2047. out11 = _mm_load_ps(OUT1+4);
  2048. out20 = _mm_load_ps(OUT0+8);
  2049. out21 = _mm_load_ps(OUT1+8);
  2050. out30 = _mm_load_ps(OUT0+12);
  2051. out31 = _mm_load_ps(OUT1+12);
  2052. for(int i2=0;i2<8;i2+=2){
  2053. __m128 m00;
  2054. __m128 ot00;
  2055. __m128 mt0,mtt0;
  2056. __m128 in00,in00_r,in01,in01_r;
  2057. in00 = _mm_castpd_ps(_mm_load_pd1((const double*)in0__));
  2058. in00_r = _mm_shuffle_ps(in00,in00,_MM_SHUFFLE(2,3,0,1));
  2059. in01 = _mm_castpd_ps(_mm_load_pd1((const double*)in1__));
  2060. in01_r = _mm_shuffle_ps(in01,in01,_MM_SHUFFLE(2,3,0,1));
  2061. m00 = _mm_load_ps(M_);
  2062. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2063. out00= _mm_add_ps (out00,_mm_mul_ps( mt0,in00 ));
  2064. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2065. out00= _mm_addsub_ps(out00,_mm_mul_ps(mtt0,in00_r));
  2066. out01 = _mm_add_ps (out01,_mm_mul_ps( mt0,in01 ));
  2067. out01 = _mm_addsub_ps(out01,_mm_mul_ps(mtt0,in01_r));
  2068. m00 = _mm_load_ps(M_+4);
  2069. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2070. out10= _mm_add_ps (out10,_mm_mul_ps( mt0,in00 ));
  2071. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2072. out10= _mm_addsub_ps(out10,_mm_mul_ps(mtt0,in00_r));
  2073. out11 = _mm_add_ps (out11,_mm_mul_ps( mt0,in01 ));
  2074. out11 = _mm_addsub_ps(out11,_mm_mul_ps(mtt0,in01_r));
  2075. m00 = _mm_load_ps(M_+8);
  2076. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2077. out20= _mm_add_ps (out20,_mm_mul_ps( mt0,in00 ));
  2078. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2079. out20= _mm_addsub_ps(out20,_mm_mul_ps(mtt0,in00_r));
  2080. out21 = _mm_add_ps (out21,_mm_mul_ps( mt0,in01 ));
  2081. out21 = _mm_addsub_ps(out21,_mm_mul_ps(mtt0,in01_r));
  2082. m00 = _mm_load_ps(M_+12);
  2083. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2084. out30= _mm_add_ps (out30,_mm_mul_ps( mt0, in00));
  2085. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2086. out30= _mm_addsub_ps(out30,_mm_mul_ps(mtt0,in00_r));
  2087. out31 = _mm_add_ps (out31,_mm_mul_ps( mt0,in01 ));
  2088. out31 = _mm_addsub_ps(out31,_mm_mul_ps(mtt0,in01_r));
  2089. in00 = _mm_castpd_ps(_mm_load_pd1((const double*) (in0__+2)));
  2090. in00_r = _mm_shuffle_ps(in00,in00,_MM_SHUFFLE(2,3,0,1));
  2091. in01 = _mm_castpd_ps(_mm_load_pd1((const double*) (in1__+2)));
  2092. in01_r = _mm_shuffle_ps(in01,in01,_MM_SHUFFLE(2,3,0,1));
  2093. m00 = _mm_load_ps(M_+16);
  2094. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2095. out00= _mm_add_ps (out00,_mm_mul_ps( mt0,in00 ));
  2096. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2097. out00= _mm_addsub_ps(out00,_mm_mul_ps(mtt0,in00_r));
  2098. out01 = _mm_add_ps (out01,_mm_mul_ps( mt0,in01 ));
  2099. out01 = _mm_addsub_ps(out01,_mm_mul_ps(mtt0,in01_r));
  2100. m00 = _mm_load_ps(M_+20);
  2101. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2102. out10= _mm_add_ps (out10,_mm_mul_ps( mt0,in00 ));
  2103. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2104. out10= _mm_addsub_ps(out10,_mm_mul_ps(mtt0,in00_r));
  2105. out11 = _mm_add_ps (out11,_mm_mul_ps( mt0,in01 ));
  2106. out11 = _mm_addsub_ps(out11,_mm_mul_ps(mtt0,in01_r));
  2107. m00 = _mm_load_ps(M_+24);
  2108. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2109. out20= _mm_add_ps (out20,_mm_mul_ps( mt0,in00 ));
  2110. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2111. out20= _mm_addsub_ps(out20,_mm_mul_ps(mtt0,in00_r));
  2112. out21 = _mm_add_ps (out21,_mm_mul_ps( mt0,in01 ));
  2113. out21 = _mm_addsub_ps(out21,_mm_mul_ps(mtt0,in01_r));
  2114. m00 = _mm_load_ps(M_+28);
  2115. mt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(2,2,0,0));
  2116. out30= _mm_add_ps (out30,_mm_mul_ps( mt0,in00 ));
  2117. mtt0 = _mm_shuffle_ps(m00,m00,_MM_SHUFFLE(3,3,1,1));
  2118. out30= _mm_addsub_ps(out30,_mm_mul_ps(mtt0,in00_r));
  2119. out31 = _mm_add_ps (out31,_mm_mul_ps( mt0,in01 ));
  2120. out31 = _mm_addsub_ps(out31,_mm_mul_ps(mtt0,in01_r));
  2121. M_ += 32;
  2122. in0__ += 4;
  2123. in1__ += 4;
  2124. }
  2125. _mm_store_ps(OUT0,out00);
  2126. _mm_store_ps(OUT1,out01);
  2127. _mm_store_ps(OUT0+4,out10);
  2128. _mm_store_ps(OUT1+4,out11);
  2129. _mm_store_ps(OUT0+8,out20);
  2130. _mm_store_ps(OUT1+8,out21);
  2131. _mm_store_ps(OUT0+12,out30);
  2132. _mm_store_ps(OUT1+12,out31);
  2133. #endif
  2134. }
  2135. #endif
  2136. template <class Real_t>
  2137. void VListHadamard(size_t dof, size_t M_dim, size_t ker_dim0, size_t ker_dim1, Vector<size_t>& interac_dsp,
  2138. Vector<size_t>& interac_vec, Vector<Real_t*>& precomp_mat, Vector<Real_t>& fft_in, Vector<Real_t>& fft_out){
  2139. size_t chld_cnt=1UL<<COORD_DIM;
  2140. size_t fftsize_in =M_dim*ker_dim0*chld_cnt*2;
  2141. size_t fftsize_out=M_dim*ker_dim1*chld_cnt*2;
  2142. Real_t* zero_vec0=mem::aligned_malloc<Real_t>(fftsize_in );
  2143. Real_t* zero_vec1=mem::aligned_malloc<Real_t>(fftsize_out);
  2144. size_t n_out=fft_out.Dim()/fftsize_out;
  2145. // Set buff_out to zero.
  2146. #pragma omp parallel for
  2147. for(size_t k=0;k<n_out;k++){
  2148. Vector<Real_t> dnward_check_fft(fftsize_out, &fft_out[k*fftsize_out], false);
  2149. dnward_check_fft.SetZero();
  2150. }
  2151. // Build list of interaction pairs (in, out vectors).
  2152. size_t mat_cnt=precomp_mat.Dim();
  2153. size_t blk1_cnt=interac_dsp.Dim()/mat_cnt;
  2154. const size_t V_BLK_SIZE=V_BLK_CACHE*64/sizeof(Real_t);
  2155. Real_t** IN_ =new Real_t*[2*V_BLK_SIZE*blk1_cnt*mat_cnt];
  2156. Real_t** OUT_=new Real_t*[2*V_BLK_SIZE*blk1_cnt*mat_cnt];
  2157. #pragma omp parallel for
  2158. for(size_t interac_blk1=0; interac_blk1<blk1_cnt*mat_cnt; interac_blk1++){
  2159. size_t interac_dsp0 = (interac_blk1==0?0:interac_dsp[interac_blk1-1]);
  2160. size_t interac_dsp1 = interac_dsp[interac_blk1 ] ;
  2161. size_t interac_cnt = interac_dsp1-interac_dsp0;
  2162. for(size_t j=0;j<interac_cnt;j++){
  2163. IN_ [2*V_BLK_SIZE*interac_blk1 +j]=&fft_in [interac_vec[(interac_dsp0+j)*2+0]];
  2164. OUT_[2*V_BLK_SIZE*interac_blk1 +j]=&fft_out[interac_vec[(interac_dsp0+j)*2+1]];
  2165. }
  2166. IN_ [2*V_BLK_SIZE*interac_blk1 +interac_cnt]=zero_vec0;
  2167. OUT_[2*V_BLK_SIZE*interac_blk1 +interac_cnt]=zero_vec1;
  2168. }
  2169. int omp_p=omp_get_max_threads();
  2170. #pragma omp parallel for
  2171. for(int pid=0; pid<omp_p; pid++){
  2172. size_t a=( pid *M_dim)/omp_p;
  2173. size_t b=((pid+1)*M_dim)/omp_p;
  2174. for(size_t blk1=0; blk1<blk1_cnt; blk1++)
  2175. for(size_t k=a; k< b; k++)
  2176. for(size_t mat_indx=0; mat_indx< mat_cnt;mat_indx++){
  2177. size_t interac_blk1 = blk1*mat_cnt+mat_indx;
  2178. size_t interac_dsp0 = (interac_blk1==0?0:interac_dsp[interac_blk1-1]);
  2179. size_t interac_dsp1 = interac_dsp[interac_blk1 ] ;
  2180. size_t interac_cnt = interac_dsp1-interac_dsp0;
  2181. Real_t** IN = IN_ + 2*V_BLK_SIZE*interac_blk1;
  2182. Real_t** OUT= OUT_+ 2*V_BLK_SIZE*interac_blk1;
  2183. Real_t* M = precomp_mat[mat_indx] + k*chld_cnt*chld_cnt*2;
  2184. #ifdef __SSE__
  2185. if (mat_indx +1 < mat_cnt){ // Prefetch
  2186. _mm_prefetch(((char *)(precomp_mat[mat_indx+1] + k*chld_cnt*chld_cnt*2)), _MM_HINT_T0);
  2187. _mm_prefetch(((char *)(precomp_mat[mat_indx+1] + k*chld_cnt*chld_cnt*2) + 64), _MM_HINT_T0);
  2188. }
  2189. #endif
  2190. for(int in_dim=0;in_dim<ker_dim0;in_dim++)
  2191. for(int ot_dim=0;ot_dim<ker_dim1;ot_dim++){
  2192. for(size_t j=0;j<interac_cnt;j+=2){
  2193. Real_t* M_ = M;
  2194. Real_t* IN0 = IN [j+0] + (in_dim*M_dim+k)*chld_cnt*2;
  2195. Real_t* IN1 = IN [j+1] + (in_dim*M_dim+k)*chld_cnt*2;
  2196. Real_t* OUT0 = OUT[j+0] + (ot_dim*M_dim+k)*chld_cnt*2;
  2197. Real_t* OUT1 = OUT[j+1] + (ot_dim*M_dim+k)*chld_cnt*2;
  2198. #ifdef __SSE__
  2199. if (j+2 < interac_cnt) { // Prefetch
  2200. _mm_prefetch(((char *)(IN[j+2] + (in_dim*M_dim+k)*chld_cnt*2)), _MM_HINT_T0);
  2201. _mm_prefetch(((char *)(IN[j+2] + (in_dim*M_dim+k)*chld_cnt*2) + 64), _MM_HINT_T0);
  2202. _mm_prefetch(((char *)(IN[j+3] + (in_dim*M_dim+k)*chld_cnt*2)), _MM_HINT_T0);
  2203. _mm_prefetch(((char *)(IN[j+3] + (in_dim*M_dim+k)*chld_cnt*2) + 64), _MM_HINT_T0);
  2204. _mm_prefetch(((char *)(OUT[j+2] + (ot_dim*M_dim+k)*chld_cnt*2)), _MM_HINT_T0);
  2205. _mm_prefetch(((char *)(OUT[j+2] + (ot_dim*M_dim+k)*chld_cnt*2) + 64), _MM_HINT_T0);
  2206. _mm_prefetch(((char *)(OUT[j+3] + (ot_dim*M_dim+k)*chld_cnt*2)), _MM_HINT_T0);
  2207. _mm_prefetch(((char *)(OUT[j+3] + (ot_dim*M_dim+k)*chld_cnt*2) + 64), _MM_HINT_T0);
  2208. }
  2209. #endif
  2210. matmult_8x8x2(M_, IN0, IN1, OUT0, OUT1);
  2211. }
  2212. M += M_dim*128;
  2213. }
  2214. }
  2215. }
  2216. // Compute flops.
  2217. {
  2218. Profile::Add_FLOP(8*8*8*(interac_vec.Dim()/2)*M_dim*ker_dim0*ker_dim1*dof);
  2219. }
  2220. // Free memory
  2221. delete[] IN_ ;
  2222. delete[] OUT_;
  2223. mem::aligned_free<Real_t>(zero_vec0);
  2224. mem::aligned_free<Real_t>(zero_vec1);
  2225. }
  2226. template <class FMMNode>
  2227. 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){
  2228. if(this->MultipoleOrder()==0) return;
  2229. if(level==0) return;
  2230. { // Set setup_data
  2231. setup_data.level=level;
  2232. setup_data.kernel=&aux_kernel;
  2233. setup_data.interac_type.resize(1);
  2234. setup_data.interac_type[0]=V1_Type;
  2235. setup_data. input_data=&buff[0];
  2236. setup_data.output_data=&buff[1];
  2237. Vector<FMMNode_t*>& nodes_in =n_list[2];
  2238. Vector<FMMNode_t*>& nodes_out=n_list[3];
  2239. setup_data.nodes_in .clear();
  2240. setup_data.nodes_out.clear();
  2241. 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]);
  2242. 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]);
  2243. }
  2244. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2245. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2246. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2247. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2248. 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);
  2249. 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);
  2250. /////////////////////////////////////////////////////////////////////////////
  2251. size_t n_in =nodes_in .size();
  2252. size_t n_out=nodes_out.size();
  2253. // Setup precomputed data.
  2254. SetupPrecomp(setup_data,device);
  2255. // Build interac_data
  2256. Profile::Tic("Interac-Data",&this->comm,true,25);
  2257. Matrix<char>& interac_data=setup_data.interac_data;
  2258. if(n_out>0 && n_in >0){ // Build precomp_data, interac_data
  2259. size_t precomp_offset=0;
  2260. Mat_Type& interac_type=setup_data.interac_type[0];
  2261. size_t mat_cnt=this->interac_list.ListCount(interac_type);
  2262. Vector<size_t> precomp_data_offset;
  2263. std::vector<size_t> interac_mat;
  2264. { // Load precomp_data for interac_type.
  2265. Matrix<char>& precomp_data=*setup_data.precomp_data;
  2266. char* indx_ptr=precomp_data[0]+precomp_offset;
  2267. size_t total_size=((size_t*)indx_ptr)[0]; indx_ptr+=sizeof(size_t);
  2268. /*size_t mat_cnt_ =((size_t*)indx_ptr)[0];*/ indx_ptr+=sizeof(size_t);
  2269. precomp_data_offset.ReInit((1+2+2)*mat_cnt, (size_t*)indx_ptr, false);
  2270. precomp_offset+=total_size;
  2271. for(size_t mat_id=0;mat_id<mat_cnt;mat_id++){
  2272. Matrix<Real_t>& M0 = this->mat->Mat(level, interac_type, mat_id);
  2273. assert(M0.Dim(0)>0 && M0.Dim(1)>0); UNUSED(M0);
  2274. interac_mat.push_back(precomp_data_offset[5*mat_id]);
  2275. }
  2276. }
  2277. size_t dof;
  2278. size_t m=MultipoleOrder();
  2279. size_t ker_dim0=setup_data.kernel->ker_dim[0];
  2280. size_t ker_dim1=setup_data.kernel->ker_dim[1];
  2281. size_t fftsize;
  2282. {
  2283. size_t n1=m*2;
  2284. size_t n2=n1*n1;
  2285. size_t n3_=n2*(n1/2+1);
  2286. size_t chld_cnt=1UL<<COORD_DIM;
  2287. fftsize=2*n3_*chld_cnt;
  2288. dof=1;
  2289. }
  2290. int omp_p=omp_get_max_threads();
  2291. size_t buff_size=DEVICE_BUFFER_SIZE*1024l*1024l;
  2292. size_t n_blk0=2*fftsize*dof*(ker_dim0*n_in +ker_dim1*n_out)*sizeof(Real_t)/buff_size;
  2293. if(n_blk0==0) n_blk0=1;
  2294. std::vector<std::vector<size_t> > fft_vec(n_blk0);
  2295. std::vector<std::vector<size_t> > ifft_vec(n_blk0);
  2296. std::vector<std::vector<size_t> > interac_vec(n_blk0);
  2297. std::vector<std::vector<size_t> > interac_dsp(n_blk0);
  2298. {
  2299. Matrix<Real_t>& input_data=*setup_data. input_data;
  2300. Matrix<Real_t>& output_data=*setup_data.output_data;
  2301. std::vector<std::vector<FMMNode*> > nodes_blk_in (n_blk0);
  2302. std::vector<std::vector<FMMNode*> > nodes_blk_out(n_blk0);
  2303. for(size_t i=0;i<n_in;i++) ((FMMNode*)nodes_in[i])->node_id=i;
  2304. for(size_t blk0=0;blk0<n_blk0;blk0++){
  2305. size_t blk0_start=(n_out* blk0 )/n_blk0;
  2306. size_t blk0_end =(n_out*(blk0+1))/n_blk0;
  2307. std::vector<FMMNode*>& nodes_in_ =nodes_blk_in [blk0];
  2308. std::vector<FMMNode*>& nodes_out_=nodes_blk_out[blk0];
  2309. { // Build node list for blk0.
  2310. std::set<void*> nodes_in;
  2311. for(size_t i=blk0_start;i<blk0_end;i++){
  2312. nodes_out_.push_back((FMMNode*)nodes_out[i]);
  2313. std::vector<FMMNode*>& lst=((FMMNode*)nodes_out[i])->interac_list[interac_type];
  2314. for(size_t k=0;k<mat_cnt;k++) if(lst[k]!=NULL) nodes_in.insert(lst[k]);
  2315. }
  2316. for(std::set<void*>::iterator node=nodes_in.begin(); node != nodes_in.end(); node++){
  2317. nodes_in_.push_back((FMMNode*)*node);
  2318. }
  2319. size_t input_dim=nodes_in_ .size()*ker_dim0*dof*fftsize;
  2320. size_t output_dim=nodes_out_.size()*ker_dim1*dof*fftsize;
  2321. size_t buffer_dim=(ker_dim0+ker_dim1)*dof*fftsize*omp_p;
  2322. if(buff_size<(input_dim + output_dim + buffer_dim)*sizeof(Real_t))
  2323. buff_size=(input_dim + output_dim + buffer_dim)*sizeof(Real_t);
  2324. }
  2325. { // Set fft vectors.
  2326. 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]));
  2327. 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]));
  2328. }
  2329. }
  2330. for(size_t blk0=0;blk0<n_blk0;blk0++){ // Hadamard interactions.
  2331. std::vector<FMMNode*>& nodes_in_ =nodes_blk_in [blk0];
  2332. std::vector<FMMNode*>& nodes_out_=nodes_blk_out[blk0];
  2333. for(size_t i=0;i<nodes_in_.size();i++) nodes_in_[i]->node_id=i;
  2334. { // Next blocking level.
  2335. size_t n_blk1=nodes_out_.size()*(ker_dim0+ker_dim1)*sizeof(Real_t)/(64*V_BLK_CACHE);
  2336. if(n_blk1==0) n_blk1=1;
  2337. size_t interac_dsp_=0;
  2338. for(size_t blk1=0;blk1<n_blk1;blk1++){
  2339. size_t blk1_start=(nodes_out_.size()* blk1 )/n_blk1;
  2340. size_t blk1_end =(nodes_out_.size()*(blk1+1))/n_blk1;
  2341. for(size_t k=0;k<mat_cnt;k++){
  2342. for(size_t i=blk1_start;i<blk1_end;i++){
  2343. std::vector<FMMNode*>& lst=((FMMNode*)nodes_out_[i])->interac_list[interac_type];
  2344. if(lst[k]!=NULL){
  2345. interac_vec[blk0].push_back(lst[k]->node_id*fftsize*ker_dim0*dof);
  2346. interac_vec[blk0].push_back( i *fftsize*ker_dim1*dof);
  2347. interac_dsp_++;
  2348. }
  2349. }
  2350. interac_dsp[blk0].push_back(interac_dsp_);
  2351. }
  2352. }
  2353. }
  2354. }
  2355. }
  2356. { // Set interac_data.
  2357. size_t data_size=sizeof(size_t)*5; // m, dof, ker_dim0, ker_dim1, n_blk0
  2358. for(size_t blk0=0;blk0<n_blk0;blk0++){
  2359. data_size+=sizeof(size_t)+ fft_vec[blk0].size()*sizeof(size_t);
  2360. data_size+=sizeof(size_t)+ ifft_vec[blk0].size()*sizeof(size_t);
  2361. data_size+=sizeof(size_t)+interac_vec[blk0].size()*sizeof(size_t);
  2362. data_size+=sizeof(size_t)+interac_dsp[blk0].size()*sizeof(size_t);
  2363. }
  2364. data_size+=sizeof(size_t)+interac_mat.size()*sizeof(size_t);
  2365. if(data_size>interac_data.Dim(0)*interac_data.Dim(1))
  2366. interac_data.Resize(1,data_size);
  2367. char* data_ptr=&interac_data[0][0];
  2368. ((size_t*)data_ptr)[0]=buff_size; data_ptr+=sizeof(size_t);
  2369. ((size_t*)data_ptr)[0]= m; data_ptr+=sizeof(size_t);
  2370. ((size_t*)data_ptr)[0]= dof; data_ptr+=sizeof(size_t);
  2371. ((size_t*)data_ptr)[0]= ker_dim0; data_ptr+=sizeof(size_t);
  2372. ((size_t*)data_ptr)[0]= ker_dim1; data_ptr+=sizeof(size_t);
  2373. ((size_t*)data_ptr)[0]= n_blk0; data_ptr+=sizeof(size_t);
  2374. ((size_t*)data_ptr)[0]= interac_mat.size(); data_ptr+=sizeof(size_t);
  2375. mem::memcopy(data_ptr, &interac_mat[0], interac_mat.size()*sizeof(size_t));
  2376. data_ptr+=interac_mat.size()*sizeof(size_t);
  2377. for(size_t blk0=0;blk0<n_blk0;blk0++){
  2378. ((size_t*)data_ptr)[0]= fft_vec[blk0].size(); data_ptr+=sizeof(size_t);
  2379. mem::memcopy(data_ptr, & fft_vec[blk0][0], fft_vec[blk0].size()*sizeof(size_t));
  2380. data_ptr+= fft_vec[blk0].size()*sizeof(size_t);
  2381. ((size_t*)data_ptr)[0]=ifft_vec[blk0].size(); data_ptr+=sizeof(size_t);
  2382. mem::memcopy(data_ptr, &ifft_vec[blk0][0], ifft_vec[blk0].size()*sizeof(size_t));
  2383. data_ptr+=ifft_vec[blk0].size()*sizeof(size_t);
  2384. ((size_t*)data_ptr)[0]=interac_vec[blk0].size(); data_ptr+=sizeof(size_t);
  2385. mem::memcopy(data_ptr, &interac_vec[blk0][0], interac_vec[blk0].size()*sizeof(size_t));
  2386. data_ptr+=interac_vec[blk0].size()*sizeof(size_t);
  2387. ((size_t*)data_ptr)[0]=interac_dsp[blk0].size(); data_ptr+=sizeof(size_t);
  2388. mem::memcopy(data_ptr, &interac_dsp[blk0][0], interac_dsp[blk0].size()*sizeof(size_t));
  2389. data_ptr+=interac_dsp[blk0].size()*sizeof(size_t);
  2390. }
  2391. }
  2392. }
  2393. Profile::Toc();
  2394. Profile::Tic("Host2Device",&this->comm,false,25);
  2395. if(device){ // Host2Device
  2396. setup_data.interac_data. AllocDevice(true);
  2397. }
  2398. Profile::Toc();
  2399. }
  2400. template <class FMMNode>
  2401. void FMM_Pts<FMMNode>::V_List (SetupData<Real_t>& setup_data, bool device){
  2402. assert(!device); //Can not run on accelerator yet.
  2403. int np;
  2404. MPI_Comm_size(comm,&np);
  2405. if(setup_data.interac_data.Dim(0)==0 || setup_data.interac_data.Dim(1)==0){
  2406. if(np>1) Profile::Tic("Host2Device",&this->comm,false,25);
  2407. if(np>1) Profile::Toc();
  2408. return;
  2409. }
  2410. Profile::Tic("Host2Device",&this->comm,false,25);
  2411. int level=setup_data.level;
  2412. size_t buff_size=*((size_t*)&setup_data.interac_data[0][0]);
  2413. typename Matrix<Real_t>::Device M_d;
  2414. typename Vector<char>::Device buff;
  2415. typename Matrix<char>::Device precomp_data;
  2416. typename Matrix<char>::Device interac_data;
  2417. typename Matrix<Real_t>::Device input_data;
  2418. typename Matrix<Real_t>::Device output_data;
  2419. Matrix<Real_t>& M = this->mat->Mat(level, DC2DE_Type, 0);
  2420. if(device){
  2421. if(this->dev_buffer.Dim()<buff_size) this->dev_buffer.Resize(buff_size);
  2422. M_d = M. AllocDevice(false);
  2423. buff = this-> dev_buffer. AllocDevice(false);
  2424. precomp_data= setup_data.precomp_data->AllocDevice(false);
  2425. interac_data= setup_data.interac_data. AllocDevice(false);
  2426. input_data = setup_data. input_data->AllocDevice(false);
  2427. output_data = setup_data. output_data->AllocDevice(false);
  2428. }else{
  2429. if(this->cpu_buffer.Dim()<buff_size) this->cpu_buffer.Resize(buff_size);
  2430. M_d = M;
  2431. buff = this-> cpu_buffer;
  2432. precomp_data=*setup_data.precomp_data;
  2433. interac_data= setup_data.interac_data;
  2434. input_data =*setup_data. input_data;
  2435. output_data =*setup_data. output_data;
  2436. }
  2437. Profile::Toc();
  2438. { // Offloaded computation.
  2439. // Set interac_data.
  2440. size_t m, dof, ker_dim0, ker_dim1, n_blk0;
  2441. std::vector<Vector<size_t> > fft_vec;
  2442. std::vector<Vector<size_t> > ifft_vec;
  2443. std::vector<Vector<size_t> > interac_vec;
  2444. std::vector<Vector<size_t> > interac_dsp;
  2445. Vector<Real_t*> precomp_mat;
  2446. { // Set interac_data.
  2447. char* data_ptr=&interac_data[0][0];
  2448. buff_size=((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2449. m =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2450. dof =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2451. ker_dim0 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2452. ker_dim1 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2453. n_blk0 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2454. fft_vec .resize(n_blk0);
  2455. ifft_vec.resize(n_blk0);
  2456. interac_vec.resize(n_blk0);
  2457. interac_dsp.resize(n_blk0);
  2458. Vector<size_t> interac_mat;
  2459. interac_mat.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2460. data_ptr+=sizeof(size_t)+interac_mat.Dim()*sizeof(size_t);
  2461. precomp_mat.Resize(interac_mat.Dim());
  2462. for(size_t i=0;i<interac_mat.Dim();i++){
  2463. precomp_mat[i]=(Real_t*)(precomp_data[0]+interac_mat[i]);
  2464. }
  2465. for(size_t blk0=0;blk0<n_blk0;blk0++){
  2466. fft_vec[blk0].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2467. data_ptr+=sizeof(size_t)+fft_vec[blk0].Dim()*sizeof(size_t);
  2468. ifft_vec[blk0].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2469. data_ptr+=sizeof(size_t)+ifft_vec[blk0].Dim()*sizeof(size_t);
  2470. interac_vec[blk0].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2471. data_ptr+=sizeof(size_t)+interac_vec[blk0].Dim()*sizeof(size_t);
  2472. interac_dsp[blk0].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2473. data_ptr+=sizeof(size_t)+interac_dsp[blk0].Dim()*sizeof(size_t);
  2474. }
  2475. }
  2476. int omp_p=omp_get_max_threads();
  2477. size_t M_dim, fftsize;
  2478. {
  2479. size_t n1=m*2;
  2480. size_t n2=n1*n1;
  2481. size_t n3_=n2*(n1/2+1);
  2482. size_t chld_cnt=1UL<<COORD_DIM;
  2483. fftsize=2*n3_*chld_cnt;
  2484. M_dim=n3_;
  2485. }
  2486. for(size_t blk0=0;blk0<n_blk0;blk0++){ // interactions
  2487. size_t n_in = fft_vec[blk0].Dim();
  2488. size_t n_out=ifft_vec[blk0].Dim();
  2489. size_t input_dim=n_in *ker_dim0*dof*fftsize;
  2490. size_t output_dim=n_out*ker_dim1*dof*fftsize;
  2491. size_t buffer_dim=(ker_dim0+ker_dim1)*dof*fftsize*omp_p;
  2492. Vector<Real_t> fft_in ( input_dim, (Real_t*)&buff[ 0 ],false);
  2493. Vector<Real_t> fft_out(output_dim, (Real_t*)&buff[ input_dim *sizeof(Real_t)],false);
  2494. Vector<Real_t> buffer(buffer_dim, (Real_t*)&buff[(input_dim+output_dim)*sizeof(Real_t)],false);
  2495. { // FFT
  2496. if(np==1) Profile::Tic("FFT",&comm,false,100);
  2497. Vector<Real_t> input_data_( input_data.dim[0]* input_data.dim[1], input_data[0], false);
  2498. FFT_UpEquiv(dof, m, ker_dim0, fft_vec[blk0], input_data_, fft_in, buffer);
  2499. if(np==1) Profile::Toc();
  2500. }
  2501. { // Hadamard
  2502. #ifdef PVFMM_HAVE_PAPI
  2503. #ifdef __VERBOSE__
  2504. std::cout << "Starting counters new\n";
  2505. if (PAPI_start(EventSet) != PAPI_OK) std::cout << "handle_error3" << std::endl;
  2506. #endif
  2507. #endif
  2508. if(np==1) Profile::Tic("HadamardProduct",&comm,false,100);
  2509. VListHadamard<Real_t>(dof, M_dim, ker_dim0, ker_dim1, interac_dsp[blk0], interac_vec[blk0], precomp_mat, fft_in, fft_out);
  2510. if(np==1) Profile::Toc();
  2511. #ifdef PVFMM_HAVE_PAPI
  2512. #ifdef __VERBOSE__
  2513. if (PAPI_stop(EventSet, values) != PAPI_OK) std::cout << "handle_error4" << std::endl;
  2514. std::cout << "Stopping counters\n";
  2515. #endif
  2516. #endif
  2517. }
  2518. { // IFFT
  2519. if(np==1) Profile::Tic("IFFT",&comm,false,100);
  2520. Matrix<Real_t> M(M_d.dim[0],M_d.dim[1],M_d[0],false);
  2521. Vector<Real_t> output_data_(output_data.dim[0]*output_data.dim[1], output_data[0], false);
  2522. FFT_Check2Equiv(dof, m, ker_dim1, ifft_vec[blk0], fft_out, output_data_, buffer, M);
  2523. if(np==1) Profile::Toc();
  2524. }
  2525. }
  2526. }
  2527. }
  2528. template <class FMMNode>
  2529. 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){
  2530. if(this->MultipoleOrder()==0) return;
  2531. { // Set setup_data
  2532. setup_data.level=level;
  2533. setup_data.kernel=&aux_kernel;
  2534. setup_data.interac_type.resize(1);
  2535. setup_data.interac_type[0]=D2D_Type;
  2536. setup_data. input_data=&buff[1];
  2537. setup_data.output_data=&buff[1];
  2538. Vector<FMMNode_t*>& nodes_in =n_list[1];
  2539. Vector<FMMNode_t*>& nodes_out=n_list[1];
  2540. setup_data.nodes_in .clear();
  2541. setup_data.nodes_out.clear();
  2542. 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]);
  2543. 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]);
  2544. }
  2545. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2546. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2547. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2548. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2549. for(size_t i=0;i<nodes_in .size();i++) input_vector.push_back(&((FMMData*)((FMMNode*)nodes_in [i])->FMMData())->dnward_equiv);
  2550. for(size_t i=0;i<nodes_out.size();i++) output_vector.push_back(&((FMMData*)((FMMNode*)nodes_out[i])->FMMData())->dnward_equiv);
  2551. SetupInterac(setup_data,device);
  2552. }
  2553. template <class FMMNode>
  2554. void FMM_Pts<FMMNode>::Down2Down (SetupData<Real_t>& setup_data, bool device){
  2555. //Add Down2Down contribution.
  2556. EvalList(setup_data, device);
  2557. }
  2558. template <class FMMNode>
  2559. void FMM_Pts<FMMNode>::SetupInteracPts(SetupData<Real_t>& setup_data, bool shift_src, bool shift_trg, Matrix<Real_t>* M, bool device){
  2560. int level=setup_data.level;
  2561. std::vector<Mat_Type>& interac_type_lst=setup_data.interac_type;
  2562. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2563. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2564. Matrix<Real_t>& output_data=*setup_data.output_data;
  2565. Matrix<Real_t>& input_data=*setup_data. input_data;
  2566. Matrix<Real_t>& coord_data=*setup_data. coord_data;
  2567. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector;
  2568. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector;
  2569. size_t n_in =nodes_in .size();
  2570. size_t n_out=nodes_out.size();
  2571. //setup_data.precomp_data=NULL;
  2572. // Build interac_data
  2573. Profile::Tic("Interac-Data",&this->comm,true,25);
  2574. Matrix<char>& interac_data=setup_data.interac_data;
  2575. if(n_out>0 && n_in >0){
  2576. size_t ker_dim0=setup_data.kernel->ker_dim[0];
  2577. size_t ker_dim1=setup_data.kernel->ker_dim[1];
  2578. size_t dof=1;
  2579. for(size_t i=0;i<n_in ;i++) ((FMMNode*)nodes_in [i])->node_id=i;
  2580. std::vector<size_t> trg_interac_cnt(n_out,0);
  2581. std::vector<size_t> trg_coord(n_out);
  2582. std::vector<size_t> trg_value(n_out);
  2583. std::vector<size_t> trg_cnt(n_out);
  2584. std::vector<Real_t> scaling(n_out,0);
  2585. { // Set trg data
  2586. Mat_Type& interac_type=interac_type_lst[0];
  2587. for(size_t i=0;i<n_out;i++){
  2588. if(!((FMMNode*)nodes_out[i])->IsGhost() && (level==-1 || ((FMMNode*)nodes_out[i])->Depth()==level)){
  2589. trg_cnt [i]=output_vector[i*2+0]->Dim()/COORD_DIM;
  2590. trg_coord[i]=(size_t)(&output_vector[i*2+0][0][0]- coord_data[0]);
  2591. trg_value[i]=(size_t)(&output_vector[i*2+1][0][0]-output_data[0]);
  2592. if(!this->Homogen()) scaling[i]=1.0;
  2593. else if(interac_type==S2U_Type) scaling[i]=pow(0.5, setup_data.kernel->poten_scale *((FMMNode*)nodes_out[i])->Depth());
  2594. else if(interac_type== X_Type) scaling[i]=pow(0.5, setup_data.kernel->poten_scale *((FMMNode*)nodes_out[i])->Depth());
  2595. }
  2596. }
  2597. }
  2598. std::vector<std::vector<size_t> > src_cnt(n_out);
  2599. std::vector<std::vector<size_t> > src_coord(n_out);
  2600. std::vector<std::vector<size_t> > src_value(n_out);
  2601. std::vector<std::vector<Real_t> > shift_coord(n_out);
  2602. for(size_t type_indx=0; type_indx<interac_type_lst.size(); type_indx++){
  2603. Mat_Type& interac_type=interac_type_lst[type_indx];
  2604. size_t mat_cnt=this->interac_list.ListCount(interac_type);
  2605. for(size_t i=0;i<n_out;i++){ // For each target node.
  2606. if(!((FMMNode*)nodes_out[i])->IsGhost() && (level==-1 || ((FMMNode*)nodes_out[i])->Depth()==level)){
  2607. std::vector<FMMNode*>& lst=((FMMNode*)nodes_out[i])->interac_list[interac_type];
  2608. for(size_t mat_indx=0;mat_indx<mat_cnt;mat_indx++) if(lst[mat_indx]!=NULL){ // For each direction.
  2609. size_t j=lst[mat_indx]->node_id;
  2610. if(input_vector[j*4+0]->Dim()>0 || input_vector[j*4+2]->Dim()>0){
  2611. trg_interac_cnt[i]++;
  2612. { // Determine shift for periodic boundary condition
  2613. Real_t* sc=lst[mat_indx]->Coord();
  2614. Real_t* tc=((FMMNode*)nodes_out[i])->Coord();
  2615. int* rel_coord=this->interac_list.RelativeCoord(interac_type, mat_indx);
  2616. shift_coord[i].push_back((tc[0]>sc[0] && rel_coord[0]>0? 1.0:
  2617. (tc[0]<sc[0] && rel_coord[0]<0?-1.0:0.0)) +
  2618. (shift_src?sc[0]:0) - (shift_trg?tc[0]:0) );
  2619. shift_coord[i].push_back((tc[1]>sc[1] && rel_coord[1]>0? 1.0:
  2620. (tc[1]<sc[1] && rel_coord[1]<0?-1.0:0.0)) +
  2621. (shift_src?sc[1]:0) - (shift_trg?tc[1]:0) );
  2622. shift_coord[i].push_back((tc[2]>sc[2] && rel_coord[2]>0? 1.0:
  2623. (tc[2]<sc[2] && rel_coord[2]<0?-1.0:0.0)) +
  2624. (shift_src?sc[2]:0) - (shift_trg?tc[2]:0) );
  2625. }
  2626. { // Set src data
  2627. if(input_vector[j*4+0]!=NULL){
  2628. src_cnt [i].push_back(input_vector[j*4+0]->Dim()/COORD_DIM);
  2629. src_coord[i].push_back((size_t)(& input_vector[j*4+0][0][0]- coord_data[0]));
  2630. src_value[i].push_back((size_t)(& input_vector[j*4+1][0][0]- input_data[0]));
  2631. }else{
  2632. src_cnt [i].push_back(0);
  2633. src_coord[i].push_back(0);
  2634. src_value[i].push_back(0);
  2635. }
  2636. if(input_vector[j*4+2]!=NULL){
  2637. src_cnt [i].push_back(input_vector[j*4+2]->Dim()/COORD_DIM);
  2638. src_coord[i].push_back((size_t)(& input_vector[j*4+2][0][0]- coord_data[0]));
  2639. src_value[i].push_back((size_t)(& input_vector[j*4+3][0][0]- input_data[0]));
  2640. }else{
  2641. src_cnt [i].push_back(0);
  2642. src_coord[i].push_back(0);
  2643. src_value[i].push_back(0);
  2644. }
  2645. }
  2646. }
  2647. }
  2648. }
  2649. }
  2650. }
  2651. { // Set interac_data.
  2652. size_t data_size=sizeof(size_t)*4;
  2653. data_size+=sizeof(size_t)+trg_interac_cnt.size()*sizeof(size_t);
  2654. data_size+=sizeof(size_t)+trg_coord.size()*sizeof(size_t);
  2655. data_size+=sizeof(size_t)+trg_value.size()*sizeof(size_t);
  2656. data_size+=sizeof(size_t)+trg_cnt .size()*sizeof(size_t);
  2657. data_size+=sizeof(size_t)+scaling .size()*sizeof(Real_t);
  2658. data_size+=sizeof(size_t)*2+(M!=NULL?M->Dim(0)*M->Dim(1)*sizeof(Real_t):0);
  2659. for(size_t i=0;i<n_out;i++){
  2660. data_size+=sizeof(size_t)+src_cnt [i].size()*sizeof(size_t);
  2661. data_size+=sizeof(size_t)+src_coord[i].size()*sizeof(size_t);
  2662. data_size+=sizeof(size_t)+src_value[i].size()*sizeof(size_t);
  2663. data_size+=sizeof(size_t)+shift_coord[i].size()*sizeof(Real_t);
  2664. }
  2665. if(data_size>interac_data.Dim(0)*interac_data.Dim(1))
  2666. interac_data.Resize(1,data_size);
  2667. char* data_ptr=&interac_data[0][0];
  2668. ((size_t*)data_ptr)[0]=data_size; data_ptr+=sizeof(size_t);
  2669. ((size_t*)data_ptr)[0]= ker_dim0; data_ptr+=sizeof(size_t);
  2670. ((size_t*)data_ptr)[0]= ker_dim1; data_ptr+=sizeof(size_t);
  2671. ((size_t*)data_ptr)[0]= dof; data_ptr+=sizeof(size_t);
  2672. ((size_t*)data_ptr)[0]=trg_interac_cnt.size(); data_ptr+=sizeof(size_t);
  2673. mem::memcopy(data_ptr, &trg_interac_cnt[0], trg_interac_cnt.size()*sizeof(size_t));
  2674. data_ptr+=trg_interac_cnt.size()*sizeof(size_t);
  2675. ((size_t*)data_ptr)[0]=trg_coord.size(); data_ptr+=sizeof(size_t);
  2676. mem::memcopy(data_ptr, &trg_coord[0], trg_coord.size()*sizeof(size_t));
  2677. data_ptr+=trg_coord.size()*sizeof(size_t);
  2678. ((size_t*)data_ptr)[0]=trg_value.size(); data_ptr+=sizeof(size_t);
  2679. mem::memcopy(data_ptr, &trg_value[0], trg_value.size()*sizeof(size_t));
  2680. data_ptr+=trg_value.size()*sizeof(size_t);
  2681. ((size_t*)data_ptr)[0]=trg_cnt.size(); data_ptr+=sizeof(size_t);
  2682. mem::memcopy(data_ptr, &trg_cnt[0], trg_cnt.size()*sizeof(size_t));
  2683. data_ptr+=trg_cnt.size()*sizeof(size_t);
  2684. ((size_t*)data_ptr)[0]=scaling.size(); data_ptr+=sizeof(size_t);
  2685. mem::memcopy(data_ptr, &scaling[0], scaling.size()*sizeof(Real_t));
  2686. data_ptr+=scaling.size()*sizeof(Real_t);
  2687. if(M!=NULL){
  2688. ((size_t*)data_ptr)[0]=M->Dim(0); data_ptr+=sizeof(size_t);
  2689. ((size_t*)data_ptr)[0]=M->Dim(1); data_ptr+=sizeof(size_t);
  2690. mem::memcopy(data_ptr, M[0][0], M->Dim(0)*M->Dim(1)*sizeof(Real_t));
  2691. data_ptr+=M->Dim(0)*M->Dim(1)*sizeof(Real_t);
  2692. }else{
  2693. ((size_t*)data_ptr)[0]=0; data_ptr+=sizeof(size_t);
  2694. ((size_t*)data_ptr)[0]=0; data_ptr+=sizeof(size_t);
  2695. }
  2696. for(size_t i=0;i<n_out;i++){
  2697. ((size_t*)data_ptr)[0]=src_cnt[i].size(); data_ptr+=sizeof(size_t);
  2698. mem::memcopy(data_ptr, &src_cnt[i][0], src_cnt[i].size()*sizeof(size_t));
  2699. data_ptr+=src_cnt[i].size()*sizeof(size_t);
  2700. ((size_t*)data_ptr)[0]=src_coord[i].size(); data_ptr+=sizeof(size_t);
  2701. mem::memcopy(data_ptr, &src_coord[i][0], src_coord[i].size()*sizeof(size_t));
  2702. data_ptr+=src_coord[i].size()*sizeof(size_t);
  2703. ((size_t*)data_ptr)[0]=src_value[i].size(); data_ptr+=sizeof(size_t);
  2704. mem::memcopy(data_ptr, &src_value[i][0], src_value[i].size()*sizeof(size_t));
  2705. data_ptr+=src_value[i].size()*sizeof(size_t);
  2706. ((size_t*)data_ptr)[0]=shift_coord[i].size(); data_ptr+=sizeof(size_t);
  2707. mem::memcopy(data_ptr, &shift_coord[i][0], shift_coord[i].size()*sizeof(Real_t));
  2708. data_ptr+=shift_coord[i].size()*sizeof(Real_t);
  2709. }
  2710. }
  2711. size_t buff_size=DEVICE_BUFFER_SIZE*1024l*1024l;
  2712. if(this->dev_buffer.Dim()<buff_size) this->dev_buffer.Resize(buff_size);
  2713. if(this->cpu_buffer.Dim()<buff_size) this->cpu_buffer.Resize(buff_size);
  2714. }
  2715. Profile::Toc();
  2716. Profile::Tic("Host2Device",&this->comm,false,25);
  2717. if(device){ // Host2Device
  2718. setup_data.interac_data .AllocDevice(true);
  2719. }
  2720. Profile::Toc();
  2721. }
  2722. template <class FMMNode>
  2723. void FMM_Pts<FMMNode>::EvalListPts(SetupData<Real_t>& setup_data, bool device){
  2724. if(setup_data.interac_data.Dim(0)==0 || setup_data.interac_data.Dim(1)==0){
  2725. Profile::Tic("Host2Device",&this->comm,false,25);
  2726. Profile::Toc();
  2727. Profile::Tic("DeviceComp",&this->comm,false,20);
  2728. Profile::Toc();
  2729. return;
  2730. }
  2731. Profile::Tic("Host2Device",&this->comm,false,25);
  2732. typename Vector<char>::Device buff;
  2733. //typename Matrix<char>::Device precomp_data;
  2734. typename Matrix<char>::Device interac_data;
  2735. typename Matrix<Real_t>::Device coord_data;
  2736. typename Matrix<Real_t>::Device input_data;
  2737. typename Matrix<Real_t>::Device output_data;
  2738. if(device){
  2739. buff = this-> dev_buffer. AllocDevice(false);
  2740. interac_data= setup_data.interac_data. AllocDevice(false);
  2741. //if(setup_data.precomp_data!=NULL) precomp_data= setup_data.precomp_data->AllocDevice(false);
  2742. if(setup_data. coord_data!=NULL) coord_data = setup_data. coord_data->AllocDevice(false);
  2743. if(setup_data. input_data!=NULL) input_data = setup_data. input_data->AllocDevice(false);
  2744. if(setup_data. output_data!=NULL) output_data = setup_data. output_data->AllocDevice(false);
  2745. }else{
  2746. buff = this-> cpu_buffer;
  2747. interac_data= setup_data.interac_data;
  2748. //if(setup_data.precomp_data!=NULL) precomp_data=*setup_data.precomp_data;
  2749. if(setup_data. coord_data!=NULL) coord_data =*setup_data. coord_data;
  2750. if(setup_data. input_data!=NULL) input_data =*setup_data. input_data;
  2751. if(setup_data. output_data!=NULL) output_data =*setup_data. output_data;
  2752. }
  2753. Profile::Toc();
  2754. size_t ptr_single_layer_kernel=(size_t)setup_data.kernel->ker_poten;
  2755. size_t ptr_double_layer_kernel=(size_t)setup_data.kernel->dbl_layer_poten;
  2756. Profile::Tic("DeviceComp",&this->comm,false,20);
  2757. #ifdef __INTEL_OFFLOAD
  2758. int lock_idx=-1;
  2759. int wait_lock_idx=-1;
  2760. if(device) wait_lock_idx=MIC_Lock::curr_lock();
  2761. if(device) lock_idx=MIC_Lock::get_lock();
  2762. if(device) ptr_single_layer_kernel=setup_data.kernel->dev_ker_poten;
  2763. if(device) ptr_double_layer_kernel=setup_data.kernel->dev_dbl_layer_poten;
  2764. #pragma offload if(device) target(mic:0) signal(&MIC_Lock::lock_vec[device?lock_idx:0])
  2765. #endif
  2766. { // Offloaded computation.
  2767. // Set interac_data.
  2768. //size_t data_size;
  2769. //size_t ker_dim0;
  2770. size_t ker_dim1;
  2771. size_t dof, n_out;
  2772. Vector<size_t> trg_interac_cnt;
  2773. Vector<size_t> trg_coord;
  2774. Vector<size_t> trg_value;
  2775. Vector<size_t> trg_cnt;
  2776. Vector<Real_t> scaling;
  2777. Matrix<Real_t> M;
  2778. Vector< Vector<size_t> > src_cnt;
  2779. Vector< Vector<size_t> > src_coord;
  2780. Vector< Vector<size_t> > src_value;
  2781. Vector< Vector<Real_t> > shift_coord;
  2782. { // Set interac_data.
  2783. char* data_ptr=&interac_data[0][0];
  2784. /*data_size=((size_t*)data_ptr)[0];*/ data_ptr+=sizeof(size_t);
  2785. /*ker_dim0=((size_t*)data_ptr)[0];*/ data_ptr+=sizeof(size_t);
  2786. ker_dim1=((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2787. dof =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2788. trg_interac_cnt.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2789. data_ptr+=sizeof(size_t)+trg_interac_cnt.Dim()*sizeof(size_t);
  2790. n_out=trg_interac_cnt.Dim();
  2791. trg_coord.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2792. data_ptr+=sizeof(size_t)+trg_coord.Dim()*sizeof(size_t);
  2793. trg_value.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2794. data_ptr+=sizeof(size_t)+trg_value.Dim()*sizeof(size_t);
  2795. trg_cnt.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2796. data_ptr+=sizeof(size_t)+trg_cnt.Dim()*sizeof(size_t);
  2797. scaling.ReInit(((size_t*)data_ptr)[0],(Real_t*)(data_ptr+sizeof(size_t)),false);
  2798. data_ptr+=sizeof(size_t)+scaling.Dim()*sizeof(Real_t);
  2799. M.ReInit(((size_t*)data_ptr)[0],((size_t*)data_ptr)[1],(Real_t*)(data_ptr+2*sizeof(size_t)),false);
  2800. data_ptr+=sizeof(size_t)*2+M.Dim(0)*M.Dim(1)*sizeof(Real_t);
  2801. src_cnt.Resize(n_out);
  2802. src_coord.Resize(n_out);
  2803. src_value.Resize(n_out);
  2804. shift_coord.Resize(n_out);
  2805. for(size_t i=0;i<n_out;i++){
  2806. src_cnt[i].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2807. data_ptr+=sizeof(size_t)+src_cnt[i].Dim()*sizeof(size_t);
  2808. src_coord[i].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2809. data_ptr+=sizeof(size_t)+src_coord[i].Dim()*sizeof(size_t);
  2810. src_value[i].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2811. data_ptr+=sizeof(size_t)+src_value[i].Dim()*sizeof(size_t);
  2812. shift_coord[i].ReInit(((size_t*)data_ptr)[0],(Real_t*)(data_ptr+sizeof(size_t)),false);
  2813. data_ptr+=sizeof(size_t)+shift_coord[i].Dim()*sizeof(Real_t);
  2814. }
  2815. }
  2816. #ifdef __INTEL_OFFLOAD
  2817. if(device) MIC_Lock::wait_lock(wait_lock_idx);
  2818. #endif
  2819. //Compute interaction from point sources.
  2820. { // interactions
  2821. typename Kernel<Real_t>::Ker_t single_layer_kernel=(typename Kernel<Real_t>::Ker_t)ptr_single_layer_kernel;
  2822. typename Kernel<Real_t>::Ker_t double_layer_kernel=(typename Kernel<Real_t>::Ker_t)ptr_double_layer_kernel;
  2823. int omp_p=omp_get_max_threads();
  2824. Vector<Real_t*> thread_buff(omp_p);
  2825. size_t thread_buff_size=buff.dim/sizeof(Real_t)/omp_p;
  2826. for(int i=0;i<omp_p;i++) thread_buff[i]=(Real_t*)&buff[i*thread_buff_size*sizeof(Real_t)];
  2827. #pragma omp parallel for
  2828. for(size_t i=0;i<n_out;i++)
  2829. if(trg_interac_cnt[i]>0 && trg_cnt[i]>0){
  2830. int thread_id=omp_get_thread_num();
  2831. Real_t* s_coord=thread_buff[thread_id];
  2832. Real_t* t_value=output_data[0]+trg_value[i];
  2833. if(M.Dim(0)>0 && M.Dim(1)>0){
  2834. s_coord+=dof*M.Dim(0);
  2835. t_value=thread_buff[thread_id];
  2836. for(size_t j=0;j<dof*M.Dim(0);j++) t_value[j]=0;
  2837. }
  2838. size_t interac_cnt=0;
  2839. for(size_t j=0;j<trg_interac_cnt[i];j++){
  2840. if(ptr_single_layer_kernel!=(size_t)NULL){// Single layer kernel
  2841. Real_t* src_coord_=coord_data[0]+src_coord[i][2*j+0];
  2842. assert(thread_buff_size>=dof*M.Dim(0)+src_cnt[i][2*j+0]*COORD_DIM);
  2843. for(size_t k1=0;k1<src_cnt[i][2*j+0];k1++){ // Compute shifted source coordinates.
  2844. for(size_t k0=0;k0<COORD_DIM;k0++){
  2845. s_coord[k1*COORD_DIM+k0]=src_coord_[k1*COORD_DIM+k0]+shift_coord[i][j*COORD_DIM+k0];
  2846. }
  2847. }
  2848. single_layer_kernel( s_coord , src_cnt[i][2*j+0], input_data[0]+src_value[i][2*j+0], dof,
  2849. coord_data[0]+trg_coord[i], trg_cnt[i] , t_value, NULL);
  2850. interac_cnt+=src_cnt[i][2*j+0]*trg_cnt[i];
  2851. }
  2852. if(ptr_double_layer_kernel!=(size_t)NULL){// Double layer kernel
  2853. Real_t* src_coord_=coord_data[0]+src_coord[i][2*j+1];
  2854. assert(thread_buff_size>=dof*M.Dim(0)+src_cnt[i][2*j+1]*COORD_DIM);
  2855. for(size_t k1=0;k1<src_cnt[i][2*j+1];k1++){ // Compute shifted source coordinates.
  2856. for(size_t k0=0;k0<COORD_DIM;k0++){
  2857. s_coord[k1*COORD_DIM+k0]=src_coord_[k1*COORD_DIM+k0]+shift_coord[i][j*COORD_DIM+k0];
  2858. }
  2859. }
  2860. double_layer_kernel( s_coord , src_cnt[i][2*j+1], input_data[0]+src_value[i][2*j+1], dof,
  2861. coord_data[0]+trg_coord[i], trg_cnt[i] , t_value, NULL);
  2862. interac_cnt+=src_cnt[i][2*j+1]*trg_cnt[i];
  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. #ifdef __INTEL_OFFLOAD
  2875. if(device) MIC_Lock::release_lock(lock_idx);
  2876. #endif
  2877. }
  2878. #ifndef __MIC_ASYNCH__
  2879. #ifdef __INTEL_OFFLOAD
  2880. #pragma offload if(device) target(mic:0)
  2881. {if(device) MIC_Lock::wait_lock(lock_idx);}
  2882. #endif
  2883. #endif
  2884. Profile::Toc();
  2885. }
  2886. template <class FMMNode>
  2887. 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){
  2888. if(this->MultipoleOrder()==0) return;
  2889. { // Set setup_data
  2890. setup_data.level=level;
  2891. setup_data.kernel=&aux_kernel;
  2892. setup_data.interac_type.resize(1);
  2893. setup_data.interac_type[0]=X_Type;
  2894. setup_data. input_data=&buff[4];
  2895. setup_data.output_data=&buff[1];
  2896. setup_data. coord_data=&buff[6];
  2897. Vector<FMMNode_t*>& nodes_in =n_list[4];
  2898. Vector<FMMNode_t*>& nodes_out=n_list[1];
  2899. setup_data.nodes_in .clear();
  2900. setup_data.nodes_out.clear();
  2901. 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]);
  2902. 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]);
  2903. }
  2904. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2905. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2906. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2907. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2908. for(size_t i=0;i<nodes_in .size();i++){
  2909. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_coord);
  2910. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_value);
  2911. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_coord);
  2912. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_value);
  2913. }
  2914. for(size_t i=0;i<nodes_out.size();i++){
  2915. output_vector.push_back(&dnwd_check_surf[((FMMNode*)nodes_out[i])->Depth()]);
  2916. output_vector.push_back(&((FMMData*)((FMMNode*)nodes_out[i])->FMMData())->dnward_equiv);
  2917. }
  2918. //Downward check to downward equivalent matrix.
  2919. Matrix<Real_t>& M_dc2de = this->mat->Mat(level, DC2DE_Type, 0);
  2920. this->SetupInteracPts(setup_data, false, true, &M_dc2de,device);
  2921. { // Resize device buffer
  2922. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  2923. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  2924. }
  2925. }
  2926. template <class FMMNode>
  2927. void FMM_Pts<FMMNode>::X_List (SetupData<Real_t>& setup_data, bool device){
  2928. //Add X_List contribution.
  2929. this->EvalListPts(setup_data, device);
  2930. }
  2931. template <class FMMNode>
  2932. 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){
  2933. if(this->MultipoleOrder()==0) return;
  2934. { // Set setup_data
  2935. setup_data.level=level;
  2936. setup_data.kernel=&kernel;
  2937. setup_data.interac_type.resize(1);
  2938. setup_data.interac_type[0]=W_Type;
  2939. setup_data. input_data=&buff[0];
  2940. setup_data.output_data=&buff[5];
  2941. setup_data. coord_data=&buff[6];
  2942. Vector<FMMNode_t*>& nodes_in =n_list[0];
  2943. Vector<FMMNode_t*>& nodes_out=n_list[5];
  2944. setup_data.nodes_in .clear();
  2945. setup_data.nodes_out.clear();
  2946. 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]);
  2947. 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]);
  2948. }
  2949. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2950. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2951. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2952. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2953. for(size_t i=0;i<nodes_in .size();i++){
  2954. input_vector .push_back(&upwd_equiv_surf[((FMMNode*)nodes_in [i])->Depth()]);
  2955. input_vector .push_back(&((FMMData*)((FMMNode*)nodes_in [i])->FMMData())->upward_equiv);
  2956. input_vector .push_back(NULL);
  2957. input_vector .push_back(NULL);
  2958. }
  2959. for(size_t i=0;i<nodes_out.size();i++){
  2960. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_coord);
  2961. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_value);
  2962. }
  2963. this->SetupInteracPts(setup_data, true, false, NULL, device);
  2964. { // Resize device buffer
  2965. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  2966. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  2967. }
  2968. }
  2969. template <class FMMNode>
  2970. void FMM_Pts<FMMNode>::W_List (SetupData<Real_t>& setup_data, bool device){
  2971. //Add W_List contribution.
  2972. this->EvalListPts(setup_data, device);
  2973. }
  2974. template <class FMMNode>
  2975. 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){
  2976. { // Set setup_data
  2977. setup_data.level=level;
  2978. setup_data.kernel=&kernel;
  2979. setup_data.interac_type.resize(3);
  2980. setup_data.interac_type[0]=U0_Type;
  2981. setup_data.interac_type[1]=U1_Type;
  2982. setup_data.interac_type[2]=U2_Type;
  2983. setup_data. input_data=&buff[4];
  2984. setup_data.output_data=&buff[5];
  2985. setup_data. coord_data=&buff[6];
  2986. Vector<FMMNode_t*>& nodes_in =n_list[4];
  2987. Vector<FMMNode_t*>& nodes_out=n_list[5];
  2988. setup_data.nodes_in .clear();
  2989. setup_data.nodes_out.clear();
  2990. 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]);
  2991. 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]);
  2992. }
  2993. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2994. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2995. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2996. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2997. for(size_t i=0;i<nodes_in .size();i++){
  2998. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_coord);
  2999. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_value);
  3000. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_coord);
  3001. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_value);
  3002. }
  3003. for(size_t i=0;i<nodes_out.size();i++){
  3004. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_coord);
  3005. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_value);
  3006. }
  3007. this->SetupInteracPts(setup_data, false, false, NULL, device);
  3008. { // Resize device buffer
  3009. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  3010. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  3011. }
  3012. }
  3013. template <class FMMNode>
  3014. void FMM_Pts<FMMNode>::U_List (SetupData<Real_t>& setup_data, bool device){
  3015. //Add U_List contribution.
  3016. this->EvalListPts(setup_data, device);
  3017. }
  3018. template <class FMMNode>
  3019. 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){
  3020. if(this->MultipoleOrder()==0) return;
  3021. { // Set setup_data
  3022. setup_data.level=level;
  3023. setup_data.kernel=&kernel;
  3024. setup_data.interac_type.resize(1);
  3025. setup_data.interac_type[0]=D2T_Type;
  3026. setup_data. input_data=&buff[1];
  3027. setup_data.output_data=&buff[5];
  3028. setup_data. coord_data=&buff[6];
  3029. Vector<FMMNode_t*>& nodes_in =n_list[1];
  3030. Vector<FMMNode_t*>& nodes_out=n_list[5];
  3031. setup_data.nodes_in .clear();
  3032. setup_data.nodes_out.clear();
  3033. 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]);
  3034. 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]);
  3035. }
  3036. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  3037. std::vector<void*>& nodes_out=setup_data.nodes_out;
  3038. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  3039. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  3040. for(size_t i=0;i<nodes_in .size();i++){
  3041. input_vector .push_back(&dnwd_equiv_surf[((FMMNode*)nodes_in [i])->Depth()]);
  3042. input_vector .push_back(&((FMMData*)((FMMNode*)nodes_in [i])->FMMData())->dnward_equiv);
  3043. input_vector .push_back(NULL);
  3044. input_vector .push_back(NULL);
  3045. }
  3046. for(size_t i=0;i<nodes_out.size();i++){
  3047. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_coord);
  3048. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_value);
  3049. }
  3050. this->SetupInteracPts(setup_data, true, false, NULL, device);
  3051. { // Resize device buffer
  3052. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  3053. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  3054. }
  3055. }
  3056. template <class FMMNode>
  3057. void FMM_Pts<FMMNode>::Down2Target(SetupData<Real_t>& setup_data, bool device){
  3058. //Add Down2Target contribution.
  3059. this->EvalListPts(setup_data, device);
  3060. }
  3061. template <class FMMNode>
  3062. void FMM_Pts<FMMNode>::PostProcessing(std::vector<FMMNode_t*>& nodes){
  3063. }
  3064. template <class FMMNode>
  3065. void FMM_Pts<FMMNode>::CopyOutput(FMMNode** nodes, size_t n){
  3066. }
  3067. }//end namespace