fmm_pts.txx 131 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. #ifdef __INTEL_OFFLOAD
  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. // Coord of upward check surface
  409. Real_t c[3]={0,0,0};
  410. std::vector<Real_t> uc_coord=u_check_surf(MultipoleOrder(),c,level);
  411. size_t n_uc=uc_coord.size()/3;
  412. // Coord of upward equivalent surface
  413. std::vector<Real_t> ue_coord=u_equiv_surf(MultipoleOrder(),c,level);
  414. size_t n_ue=ue_coord.size()/3;
  415. // Evaluate potential at check surface due to equivalent surface.
  416. Matrix<Real_t> M_e2c(n_ue*aux_ker_dim[0],n_uc*aux_ker_dim[1]);
  417. Kernel<Real_t>::Eval(&ue_coord[0], n_ue,
  418. &uc_coord[0], n_uc, &(M_e2c[0][0]),
  419. aux_kernel.ker_poten, aux_ker_dim);
  420. M=M_e2c.pinv(); //check 2 equivalent
  421. break;
  422. }
  423. case DC2DE_Type:
  424. {
  425. // Coord of downward check surface
  426. Real_t c[3]={0,0,0};
  427. std::vector<Real_t> check_surf=d_check_surf(MultipoleOrder(),c,level);
  428. size_t n_ch=check_surf.size()/3;
  429. // Coord of downward equivalent surface
  430. std::vector<Real_t> equiv_surf=d_equiv_surf(MultipoleOrder(),c,level);
  431. size_t n_eq=equiv_surf.size()/3;
  432. // Evaluate potential at check surface due to equivalent surface.
  433. Matrix<Real_t> M_e2c(n_eq*aux_ker_dim[0],n_ch*aux_ker_dim[1]);
  434. Kernel<Real_t>::Eval(&equiv_surf[0], n_eq,
  435. &check_surf[0], n_ch, &(M_e2c[0][0]),
  436. aux_kernel.ker_poten,aux_ker_dim);
  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. // Coord of upward check surface
  447. Real_t c[3]={0,0,0};
  448. std::vector<Real_t> check_surf=u_check_surf(MultipoleOrder(),c,level);
  449. size_t n_uc=check_surf.size()/3;
  450. // Coord of child's upward equivalent surface
  451. Real_t s=pow(0.5,(level+2));
  452. int* coord=interac_list.RelativeCoord(type,mat_indx);
  453. Real_t child_coord[3]={(coord[0]+1)*s,(coord[1]+1)*s,(coord[2]+1)*s};
  454. std::vector<Real_t> equiv_surf=u_equiv_surf(MultipoleOrder(),child_coord,level+1);
  455. size_t n_ue=equiv_surf.size()/3;
  456. // Evaluate potential at check surface due to equivalent surface.
  457. Matrix<Real_t> M_ce2c(n_ue*aux_ker_dim[0],n_uc*aux_ker_dim[1]);
  458. Kernel<Real_t>::Eval(&equiv_surf[0], n_ue,
  459. &check_surf[0], n_uc, &(M_ce2c[0][0]),
  460. aux_kernel.ker_poten, aux_ker_dim);
  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. // Coord of downward check surface
  468. Real_t s=pow(0.5,level+1);
  469. int* coord=interac_list.RelativeCoord(type,mat_indx);
  470. Real_t c[3]={(coord[0]+1)*s,(coord[1]+1)*s,(coord[2]+1)*s};
  471. std::vector<Real_t> check_surf=d_check_surf(MultipoleOrder(),c,level);
  472. size_t n_dc=check_surf.size()/3;
  473. // Coord of parent's downward equivalent surface
  474. Real_t parent_coord[3]={0,0,0};
  475. std::vector<Real_t> equiv_surf=d_equiv_surf(MultipoleOrder(),parent_coord,level-1);
  476. size_t n_de=equiv_surf.size()/3;
  477. // Evaluate potential at check surface due to equivalent surface.
  478. Matrix<Real_t> M_pe2c(n_de*aux_ker_dim[0],n_dc*aux_ker_dim[1]);
  479. Kernel<Real_t>::Eval(&equiv_surf[0], n_de,
  480. &check_surf[0], n_dc, &(M_pe2c[0][0]),
  481. aux_kernel.ker_poten,aux_ker_dim);
  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. std::vector<Real_t>& rel_trg_coord=mat->RelativeTrgCoord();
  489. // Coord of target points
  490. Real_t r=pow(0.5,level);
  491. size_t n_trg=rel_trg_coord.size()/3;
  492. std::vector<Real_t> trg_coord(n_trg*3);
  493. for(size_t i=0;i<n_trg*COORD_DIM;i++) trg_coord[i]=rel_trg_coord[i]*r;
  494. // Coord of downward equivalent surface
  495. Real_t c[3]={0,0,0};
  496. std::vector<Real_t> equiv_surf=d_equiv_surf(MultipoleOrder(),c,level);
  497. size_t n_eq=equiv_surf.size()/3;
  498. // Evaluate potential at target points due to equivalent surface.
  499. {
  500. M .Resize(n_eq*ker_dim [0], n_trg*ker_dim [1]);
  501. kernel.BuildMatrix(&equiv_surf[0], n_eq, &trg_coord[0], n_trg, &(M [0][0]));
  502. }
  503. break;
  504. }
  505. case U0_Type:
  506. {
  507. break;
  508. }
  509. case U1_Type:
  510. {
  511. break;
  512. }
  513. case U2_Type:
  514. {
  515. break;
  516. }
  517. case V_Type:
  518. {
  519. int n1=MultipoleOrder()*2;
  520. int n3 =n1*n1*n1;
  521. int n3_=n1*n1*(n1/2+1);
  522. //Compute the matrix.
  523. Real_t s=pow(0.5,level);
  524. int* coord2=interac_list.RelativeCoord(type,mat_indx);
  525. Real_t coord_diff[3]={coord2[0]*s,coord2[1]*s,coord2[2]*s};
  526. //Evaluate potential.
  527. std::vector<Real_t> r_trg(COORD_DIM,0.0);
  528. std::vector<Real_t> conv_poten(n3*aux_ker_dim[0]*aux_ker_dim[1]);
  529. std::vector<Real_t> conv_coord=conv_grid(MultipoleOrder(),coord_diff,level);
  530. Kernel<Real_t>::Eval(&conv_coord[0],n3,&r_trg[0],1,&conv_poten[0],aux_kernel.ker_poten,aux_ker_dim);
  531. //Rearrange data.
  532. Matrix<Real_t> M_conv(n3,aux_ker_dim[0]*aux_ker_dim[1],&conv_poten[0],false);
  533. M_conv=M_conv.Transpose();
  534. //Compute FFTW plan.
  535. int nnn[3]={n1,n1,n1};
  536. void *fftw_in, *fftw_out;
  537. fftw_in = fftw_malloc( n3 *aux_ker_dim[0]*aux_ker_dim[1]*sizeof(Real_t));
  538. fftw_out = fftw_malloc(2*n3_*aux_ker_dim[0]*aux_ker_dim[1]*sizeof(Real_t));
  539. #pragma omp critical (FFTW_PLAN)
  540. {
  541. if (!vprecomp_fft_flag){
  542. vprecomp_fftplan = FFTW_t<Real_t>::fft_plan_many_dft_r2c(COORD_DIM, nnn, aux_ker_dim[0]*aux_ker_dim[1],
  543. (Real_t*)fftw_in, NULL, 1, n3, (typename FFTW_t<Real_t>::cplx*) fftw_out, NULL, 1, n3_, FFTW_ESTIMATE);
  544. vprecomp_fft_flag=true;
  545. }
  546. }
  547. //Compute FFT.
  548. mem::memcopy(fftw_in, &conv_poten[0], n3*aux_ker_dim[0]*aux_ker_dim[1]*sizeof(Real_t));
  549. FFTW_t<Real_t>::fft_execute_dft_r2c(vprecomp_fftplan, (Real_t*)fftw_in, (typename FFTW_t<Real_t>::cplx*)(fftw_out));
  550. Matrix<Real_t> M_(2*n3_*aux_ker_dim[0]*aux_ker_dim[1],1,(Real_t*)fftw_out,false);
  551. M=M_;
  552. //Free memory.
  553. fftw_free(fftw_in);
  554. fftw_free(fftw_out);
  555. break;
  556. }
  557. case V1_Type:
  558. {
  559. size_t mat_cnt =interac_list.ListCount( V_Type);
  560. for(size_t k=0;k<mat_cnt;k++) Precomp(level, V_Type, k);
  561. const size_t chld_cnt=1UL<<COORD_DIM;
  562. size_t n1=MultipoleOrder()*2;
  563. size_t M_dim=n1*n1*(n1/2+1);
  564. size_t n3=n1*n1*n1;
  565. Vector<Real_t> zero_vec(M_dim*aux_ker_dim[0]*aux_ker_dim[1]*2);
  566. zero_vec.SetZero();
  567. Vector<Real_t*> M_ptr(chld_cnt*chld_cnt);
  568. for(size_t i=0;i<chld_cnt*chld_cnt;i++) M_ptr[i]=&zero_vec[0];
  569. int* rel_coord_=interac_list.RelativeCoord(V1_Type, mat_indx);
  570. for(int j1=0;j1<chld_cnt;j1++)
  571. for(int j2=0;j2<chld_cnt;j2++){
  572. int rel_coord[3]={rel_coord_[0]*2-(j1/1)%2+(j2/1)%2,
  573. rel_coord_[1]*2-(j1/2)%2+(j2/2)%2,
  574. rel_coord_[2]*2-(j1/4)%2+(j2/4)%2};
  575. for(size_t k=0;k<mat_cnt;k++){
  576. int* ref_coord=interac_list.RelativeCoord(V_Type, k);
  577. if(ref_coord[0]==rel_coord[0] &&
  578. ref_coord[1]==rel_coord[1] &&
  579. ref_coord[2]==rel_coord[2]){
  580. Matrix<Real_t>& M = this->mat->Mat(level, V_Type, k);
  581. M_ptr[j2*chld_cnt+j1]=&M[0][0];
  582. break;
  583. }
  584. }
  585. }
  586. // Build matrix aux_ker_dim0 x aux_ker_dim1 x M_dim x 8 x 8
  587. M.Resize(aux_ker_dim[0]*aux_ker_dim[1]*M_dim, 2*chld_cnt*chld_cnt);
  588. for(int j=0;j<aux_ker_dim[0]*aux_ker_dim[1]*M_dim;j++){
  589. for(size_t k=0;k<chld_cnt*chld_cnt;k++){
  590. M[j][k*2+0]=M_ptr[k][j*2+0]/n3;
  591. M[j][k*2+1]=M_ptr[k][j*2+1]/n3;
  592. }
  593. }
  594. break;
  595. }
  596. case W_Type:
  597. {
  598. std::vector<Real_t>& rel_trg_coord=mat->RelativeTrgCoord();
  599. // Coord of target points
  600. Real_t s=pow(0.5,level);
  601. size_t n_trg=rel_trg_coord.size()/3;
  602. std::vector<Real_t> trg_coord(n_trg*3);
  603. for(size_t j=0;j<n_trg*COORD_DIM;j++) trg_coord[j]=rel_trg_coord[j]*s;
  604. // Coord of downward equivalent surface
  605. int* coord2=interac_list.RelativeCoord(type,mat_indx);
  606. Real_t c[3]={(coord2[0]+1)*s*0.25,(coord2[1]+1)*s*0.25,(coord2[2]+1)*s*0.25};
  607. std::vector<Real_t> equiv_surf=u_equiv_surf(MultipoleOrder(),c,level+1);
  608. size_t n_eq=equiv_surf.size()/3;
  609. // Evaluate potential at target points due to equivalent surface.
  610. {
  611. M .Resize(n_eq*ker_dim [0],n_trg*ker_dim [1]);
  612. kernel.BuildMatrix(&equiv_surf[0], n_eq, &trg_coord[0], n_trg, &(M [0][0]));
  613. }
  614. break;
  615. }
  616. case X_Type:
  617. {
  618. break;
  619. }
  620. case BC_Type:
  621. {
  622. size_t mat_cnt_m2m=interac_list.ListCount(U2U_Type);
  623. size_t n_surf=(6*(MultipoleOrder()-1)*(MultipoleOrder()-1)+2); //Total number of points.
  624. if((M.Dim(0)!=n_surf*aux_ker_dim[0] || M.Dim(1)!=n_surf*aux_ker_dim[1]) && level==0){
  625. Matrix<Real_t> M_m2m[BC_LEVELS+1];
  626. Matrix<Real_t> M_m2l[BC_LEVELS+1];
  627. Matrix<Real_t> M_l2l[BC_LEVELS+1];
  628. Matrix<Real_t> M_zero_avg(n_surf*aux_ker_dim[0],n_surf*aux_ker_dim[0]);
  629. { // Set average multipole charge to zero. (improves stability for large BC_LEVELS)
  630. M_zero_avg.SetZero();
  631. for(size_t i=0;i<n_surf*aux_ker_dim[0];i++)
  632. M_zero_avg[i][i]+=1;
  633. for(size_t i=0;i<n_surf;i++)
  634. for(size_t j=0;j<n_surf;j++)
  635. for(size_t k=0;k<aux_ker_dim[0];k++)
  636. M_zero_avg[i*aux_ker_dim[0]+k][j*aux_ker_dim[0]+k]-=1.0/n_surf;
  637. }
  638. for(int level=0; level>-BC_LEVELS; level--){
  639. M_l2l[-level] = this->Precomp(level, D2D_Type, 0);
  640. if(M_l2l[-level].Dim(0)==0 || M_l2l[-level].Dim(1)==0){
  641. Matrix<Real_t>& M0 = interac_list.ClassMat(level, D2D_Type, 0);
  642. Permutation<Real_t>& Pr = this->interac_list.Perm_R(level, D2D_Type, 0);
  643. Permutation<Real_t>& Pc = this->interac_list.Perm_C(level, D2D_Type, 0);
  644. M_l2l[-level] = Pr*M0*Pc;
  645. }
  646. M_m2m[-level] = M_zero_avg*this->Precomp(level, U2U_Type, 0);
  647. for(size_t mat_indx=1; mat_indx<mat_cnt_m2m; mat_indx++)
  648. M_m2m[-level] += M_zero_avg*this->Precomp(level, U2U_Type, mat_indx);
  649. }
  650. for(int level=-BC_LEVELS;level<=0;level++){
  651. if(!Homogen() || level==-BC_LEVELS){
  652. Real_t s=(1UL<<(-level));
  653. Real_t ue_coord[3]={0,0,0};
  654. Real_t dc_coord[3]={0,0,0};
  655. std::vector<Real_t> src_coord=u_equiv_surf(MultipoleOrder(), ue_coord, level);
  656. std::vector<Real_t> trg_coord=d_check_surf(MultipoleOrder(), dc_coord, level);
  657. Matrix<Real_t> M_ue2dc(n_surf*aux_ker_dim[0], n_surf*aux_ker_dim[1]);
  658. M_ue2dc.SetZero();
  659. for(int x0=-2;x0<4;x0++)
  660. for(int x1=-2;x1<4;x1++)
  661. for(int x2=-2;x2<4;x2++)
  662. if(abs(x0)>1 || abs(x1)>1 || abs(x2)>1){
  663. ue_coord[0]=x0*s; ue_coord[1]=x1*s; ue_coord[2]=x2*s;
  664. std::vector<Real_t> src_coord=u_equiv_surf(MultipoleOrder(), ue_coord, level);
  665. Matrix<Real_t> M_tmp(n_surf*aux_ker_dim[0], n_surf*aux_ker_dim[1]);
  666. Kernel<Real_t>::Eval(&src_coord[0], n_surf,
  667. &trg_coord[0], n_surf, &(M_tmp[0][0]),
  668. aux_kernel.ker_poten, aux_ker_dim);
  669. M_ue2dc+=M_tmp;
  670. }
  671. // Shift by constant.
  672. Real_t scale_adj=(Homogen()?pow(0.5, level*aux_kernel.poten_scale):1);
  673. for(size_t i=0;i<M_ue2dc.Dim(0);i++){
  674. std::vector<Real_t> avg(aux_ker_dim[1],0);
  675. for(size_t j=0; j<M_ue2dc.Dim(1); j+=aux_ker_dim[1])
  676. for(int k=0; k<aux_ker_dim[1]; k++) avg[k]+=M_ue2dc[i][j+k];
  677. for(int k=0; k<aux_ker_dim[1]; k++) avg[k]/=n_surf;
  678. for(size_t j=0; j<M_ue2dc.Dim(1); j+=aux_ker_dim[1])
  679. for(int k=0; k<aux_ker_dim[1]; k++) M_ue2dc[i][j+k]=(M_ue2dc[i][j+k]-avg[k])*scale_adj;
  680. }
  681. Matrix<Real_t>& M_dc2de = Precomp(level, DC2DE_Type, 0);
  682. M_m2l[-level]=M_ue2dc*M_dc2de;
  683. }else M_m2l[-level]=M_m2l[1-level];
  684. if(level==-BC_LEVELS) M = M_m2l[-level];
  685. else M = M_m2l[-level] + M_m2m[-level]*M*M_l2l[-level];
  686. { // Shift by constant. (improves stability for large BC_LEVELS)
  687. Matrix<Real_t> M_de2dc(n_surf*aux_ker_dim[0], n_surf*aux_ker_dim[1]);
  688. { // M_de2dc TODO: For homogeneous kernels, compute only once.
  689. // Coord of downward check surface
  690. Real_t c[3]={0,0,0};
  691. std::vector<Real_t> check_surf=d_check_surf(MultipoleOrder(),c,0);
  692. size_t n_ch=check_surf.size()/3;
  693. // Coord of downward equivalent surface
  694. std::vector<Real_t> equiv_surf=d_equiv_surf(MultipoleOrder(),c,0);
  695. size_t n_eq=equiv_surf.size()/3;
  696. // Evaluate potential at check surface due to equivalent surface.
  697. Kernel<Real_t>::Eval(&equiv_surf[0], n_eq,
  698. &check_surf[0], n_ch, &(M_de2dc[0][0]),
  699. aux_kernel.ker_poten,aux_ker_dim);
  700. }
  701. Matrix<Real_t> M_ue2dc=M*M_de2dc;
  702. for(size_t i=0;i<M_ue2dc.Dim(0);i++){
  703. std::vector<Real_t> avg(aux_ker_dim[1],0);
  704. for(size_t j=0; j<M_ue2dc.Dim(1); j+=aux_ker_dim[1])
  705. for(int k=0; k<aux_ker_dim[1]; k++) avg[k]+=M_ue2dc[i][j+k];
  706. for(int k=0; k<aux_ker_dim[1]; k++) avg[k]/=n_surf;
  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++) M_ue2dc[i][j+k]-=avg[k];
  709. }
  710. Matrix<Real_t>& M_dc2de = Precomp(level, DC2DE_Type, 0);
  711. M=M_ue2dc*M_dc2de;
  712. }
  713. }
  714. { // ax+by+cz+d correction.
  715. std::vector<Real_t> corner_pts;
  716. corner_pts.push_back(0); corner_pts.push_back(0); corner_pts.push_back(0);
  717. corner_pts.push_back(1); corner_pts.push_back(0); corner_pts.push_back(0);
  718. corner_pts.push_back(0); corner_pts.push_back(1); corner_pts.push_back(0);
  719. corner_pts.push_back(0); corner_pts.push_back(0); corner_pts.push_back(1);
  720. size_t n_corner=corner_pts.size()/3;
  721. // Coord of downward equivalent surface
  722. Real_t c[3]={0,0,0};
  723. std::vector<Real_t> up_equiv_surf=u_equiv_surf(MultipoleOrder(),c,0);
  724. std::vector<Real_t> dn_equiv_surf=d_equiv_surf(MultipoleOrder(),c,0);
  725. std::vector<Real_t> dn_check_surf=d_check_surf(MultipoleOrder(),c,0);
  726. Matrix<Real_t> M_err;
  727. { // Evaluate potential at corner due to upward and dnward equivalent surface.
  728. { // Error from local expansion.
  729. Matrix<Real_t> M_e2pt(n_surf*aux_ker_dim[0],n_corner*aux_ker_dim[1]);
  730. Kernel<Real_t>::Eval(&dn_equiv_surf[0], n_surf,
  731. &corner_pts[0], n_corner, &(M_e2pt[0][0]),
  732. aux_kernel.ker_poten,aux_ker_dim);
  733. M_err=M*M_e2pt;
  734. }
  735. for(size_t k=0;k<4;k++){ // Error from colleagues of root.
  736. for(int j0=-1;j0<=1;j0++)
  737. for(int j1=-1;j1<=1;j1++)
  738. for(int j2=-1;j2<=1;j2++){
  739. Real_t pt_coord[3]={corner_pts[k*COORD_DIM+0]-j0,
  740. corner_pts[k*COORD_DIM+1]-j1,
  741. corner_pts[k*COORD_DIM+2]-j2};
  742. 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){
  743. Matrix<Real_t> M_e2pt(n_surf*aux_ker_dim[0],aux_ker_dim[1]);
  744. Kernel<Real_t>::Eval(&up_equiv_surf[0], n_surf,
  745. &pt_coord[0], 1, &(M_e2pt[0][0]),
  746. aux_kernel.ker_poten,aux_ker_dim);
  747. for(size_t i=0;i<M_e2pt.Dim(0);i++)
  748. for(size_t j=0;j<M_e2pt.Dim(1);j++)
  749. M_err[i][k*aux_ker_dim[1]+j]+=M_e2pt[i][j];
  750. }
  751. }
  752. }
  753. }
  754. Matrix<Real_t> M_grad(M_err.Dim(0),n_surf*aux_ker_dim[1]);
  755. for(size_t i=0;i<M_err.Dim(0);i++)
  756. for(size_t k=0;k<aux_ker_dim[1];k++)
  757. for(size_t j=0;j<n_surf;j++){
  758. M_grad[i][j*aux_ker_dim[1]+k]=(M_err[i][0*aux_ker_dim[1]+k] )*1.0 +
  759. (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]+
  760. (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]+
  761. (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];
  762. }
  763. Matrix<Real_t>& M_dc2de = Precomp(0, DC2DE_Type, 0);
  764. M-=M_grad*M_dc2de;
  765. }
  766. { // Free memory
  767. Mat_Type type=D2D_Type;
  768. for(int l=-BC_LEVELS;l<0;l++)
  769. for(size_t indx=0;indx<this->interac_list.ListCount(type);indx++){
  770. Matrix<Real_t>& M=this->mat->Mat(l, type, indx);
  771. M.Resize(0,0);
  772. }
  773. type=U2U_Type;
  774. for(int l=-BC_LEVELS;l<0;l++)
  775. for(size_t indx=0;indx<this->interac_list.ListCount(type);indx++){
  776. Matrix<Real_t>& M=this->mat->Mat(l, type, indx);
  777. M.Resize(0,0);
  778. }
  779. type=DC2DE_Type;
  780. for(int l=-BC_LEVELS;l<0;l++)
  781. for(size_t indx=0;indx<this->interac_list.ListCount(type);indx++){
  782. Matrix<Real_t>& M=this->mat->Mat(l, type, indx);
  783. M.Resize(0,0);
  784. }
  785. type=UC2UE_Type;
  786. for(int l=-BC_LEVELS;l<0;l++)
  787. for(size_t indx=0;indx<this->interac_list.ListCount(type);indx++){
  788. Matrix<Real_t>& M=this->mat->Mat(l, type, indx);
  789. M.Resize(0,0);
  790. }
  791. }
  792. }
  793. break;
  794. }
  795. default:
  796. break;
  797. }
  798. //Save the matrix for future use.
  799. #pragma omp critical (PRECOMP_MATRIX_PTS)
  800. if(M_.Dim(0)==0 && M_.Dim(1)==0){
  801. M_=M;
  802. /*
  803. M_.Resize(M.Dim(0),M.Dim(1));
  804. int dof=aux_ker_dim[0]*aux_ker_dim[1];
  805. for(int j=0;j<dof;j++){
  806. size_t a=(M.Dim(0)*M.Dim(1)* j )/dof;
  807. size_t b=(M.Dim(0)*M.Dim(1)*(j+1))/dof;
  808. #pragma omp parallel for // NUMA
  809. for(int tid=0;tid<omp_p;tid++){
  810. size_t a_=a+((b-a)* tid )/omp_p;
  811. size_t b_=a+((b-a)*(tid+1))/omp_p;
  812. mem::memcopy(&M_[0][a_], &M[0][a_], (b_-a_)*sizeof(Real_t));
  813. }
  814. }
  815. */
  816. }
  817. return M_;
  818. }
  819. template <class FMMNode>
  820. void FMM_Pts<FMMNode>::PrecompAll(Mat_Type type, int level){
  821. int depth=(Homogen()?1:MAX_DEPTH);
  822. if(level==-1){
  823. for(int l=0;l<depth;l++){
  824. std::stringstream level_str;
  825. level_str<<"level="<<l;
  826. PrecompAll(type, l);
  827. }
  828. return;
  829. }
  830. //Compute basic permutations.
  831. for(size_t i=0;i<Perm_Count;i++)
  832. this->PrecompPerm(type, (Perm_Type) i);
  833. {
  834. //Allocate matrices.
  835. size_t mat_cnt=interac_list.ListCount((Mat_Type)type);
  836. mat->Mat(level, (Mat_Type)type, mat_cnt-1);
  837. { // Compute InteracClass matrices.
  838. std::vector<size_t> indx_lst;
  839. for(size_t i=0; i<mat_cnt; i++){
  840. if(interac_list.InteracClass((Mat_Type)type,i)==i)
  841. indx_lst.push_back(i);
  842. }
  843. //Compute Transformations.
  844. //#pragma omp parallel for //lets use fine grained parallelism
  845. for(size_t i=0; i<indx_lst.size(); i++){
  846. Precomp(level, (Mat_Type)type, indx_lst[i]);
  847. }
  848. }
  849. //#pragma omp parallel for //lets use fine grained parallelism
  850. for(size_t mat_indx=0;mat_indx<mat_cnt;mat_indx++){
  851. Matrix<Real_t>& M0=interac_list.ClassMat(level,(Mat_Type)type,mat_indx);
  852. assert(M0.Dim(0)>0 && M0.Dim(1)>0);
  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. buff[indx].Resize(1,buff_size);
  888. #pragma omp parallel for
  889. for(size_t i=0;i<node_lst.size();i++){
  890. Vector<Real_t>& upward_equiv=node_lst[i]->FMMData()->upward_equiv;
  891. upward_equiv.ReInit(vec_sz, buff[indx][0]+i*vec_sz, false);
  892. upward_equiv.SetZero();
  893. }
  894. buff[indx].AllocDevice(true);
  895. }
  896. {// 1. dnward_equiv
  897. int indx=1;
  898. Matrix<Real_t>& M_dc2de = this->interac_list.ClassMat(0, DC2DE_Type, 0);
  899. size_t vec_sz=M_dc2de.Dim(1);
  900. std::vector< FMMNode* > node_lst;
  901. {
  902. std::vector<std::vector< FMMNode* > > node_lst_(MAX_DEPTH+1);
  903. FMMNode_t* r_node=NULL;
  904. for(size_t i=0;i<node.size();i++){
  905. if(!node[i]->IsLeaf() && !node[i]->IsGhost())
  906. node_lst_[node[i]->Depth()].push_back(node[i]);
  907. if(node[i]->Depth()==0) r_node=node[i];
  908. }
  909. size_t chld_cnt=1UL<<COORD_DIM;
  910. for(int i=0;i<=MAX_DEPTH;i++)
  911. for(size_t j=0;j<node_lst_[i].size();j++)
  912. for(size_t k=0;k<chld_cnt;k++)
  913. node_lst.push_back((FMMNode_t*)node_lst_[i][j]->Child(k));
  914. if(r_node!=NULL) node_lst.push_back(r_node);
  915. }
  916. n_list[indx]=node_lst;
  917. size_t buff_size=node_lst.size()*vec_sz;
  918. buff_size+=(extra_size.size()>indx?extra_size[indx]:0);
  919. buff[indx].Resize(1,buff_size);
  920. #pragma omp parallel for
  921. for(size_t i=0;i<node_lst.size();i++){
  922. Vector<Real_t>& dnward_equiv=node_lst[i]->FMMData()->dnward_equiv;
  923. dnward_equiv.ReInit(vec_sz, buff[indx][0]+i*vec_sz, false);
  924. dnward_equiv.SetZero();
  925. }
  926. buff[indx].AllocDevice(true);
  927. }
  928. {// 2. upward_equiv_fft
  929. int indx=2;
  930. std::vector< FMMNode* > node_lst;
  931. {
  932. std::vector<std::vector< FMMNode* > > node_lst_(MAX_DEPTH+1);
  933. for(size_t i=0;i<node.size();i++)
  934. if(!node[i]->IsLeaf())
  935. node_lst_[node[i]->Depth()].push_back(node[i]);
  936. for(int i=0;i<=MAX_DEPTH;i++)
  937. for(size_t j=0;j<node_lst_[i].size();j++)
  938. node_lst.push_back(node_lst_[i][j]);
  939. }
  940. n_list[indx]=node_lst;
  941. buff[indx].AllocDevice(true);
  942. }
  943. {// 3. dnward_check_fft
  944. int indx=3;
  945. std::vector< FMMNode* > node_lst;
  946. {
  947. std::vector<std::vector< FMMNode* > > node_lst_(MAX_DEPTH+1);
  948. for(size_t i=0;i<node.size();i++)
  949. if(!node[i]->IsLeaf() && !node[i]->IsGhost())
  950. node_lst_[node[i]->Depth()].push_back(node[i]);
  951. for(int i=0;i<=MAX_DEPTH;i++)
  952. for(size_t j=0;j<node_lst_[i].size();j++)
  953. node_lst.push_back(node_lst_[i][j]);
  954. }
  955. n_list[indx]=node_lst;
  956. buff[indx].AllocDevice(true);
  957. }
  958. {// 4. src_val
  959. int indx=4;
  960. int src_dof=kernel.ker_dim[0];
  961. int surf_dof=COORD_DIM+src_dof;
  962. std::vector< FMMNode* > node_lst;
  963. size_t buff_size=0;
  964. for(size_t i=0;i<node.size();i++)
  965. if(node[i]->IsLeaf()){
  966. node_lst.push_back(node[i]);
  967. buff_size+=(node[i]->src_coord.Dim()/COORD_DIM)*src_dof;
  968. buff_size+=(node[i]->surf_coord.Dim()/COORD_DIM)*surf_dof;
  969. }
  970. n_list[indx]=node_lst;
  971. #pragma omp parallel for
  972. for(size_t i=0;i<node_lst.size();i++){ // Move data before resizing buff[indx]
  973. { // src_value
  974. Vector<Real_t>& src_value=node_lst[i]->src_value;
  975. Vector<Real_t> new_buff=src_value;
  976. src_value.ReInit(new_buff.Dim(), &new_buff[0]);
  977. }
  978. { // surf_value
  979. Vector<Real_t>& surf_value=node_lst[i]->surf_value;
  980. Vector<Real_t> new_buff=surf_value;
  981. surf_value.ReInit(new_buff.Dim(), &new_buff[0]);
  982. }
  983. }
  984. buff[indx].Resize(1,buff_size+(extra_size.size()>indx?extra_size[indx]:0));
  985. Real_t* buff_ptr=&buff[indx][0][0];
  986. for(size_t i=0;i<node_lst.size();i++){
  987. FMMData* fmm_data=((FMMData*)node_lst[i]->FMMData());
  988. { // src_value
  989. Vector<Real_t>& src_value=node_lst[i]->src_value;
  990. mem::memcopy(buff_ptr,&src_value[0],src_value.Dim()*sizeof(Real_t));
  991. src_value.ReInit((node_lst[i]->src_coord.Dim()/COORD_DIM)*src_dof, buff_ptr, false);
  992. buff_ptr+=(node_lst[i]->src_coord.Dim()/COORD_DIM)*src_dof;
  993. }
  994. { // surf_value
  995. Vector<Real_t>& surf_value=node_lst[i]->surf_value;
  996. mem::memcopy(buff_ptr,&surf_value[0],surf_value.Dim()*sizeof(Real_t));
  997. surf_value.ReInit((node_lst[i]->surf_coord.Dim()/COORD_DIM)*surf_dof, buff_ptr, false);
  998. buff_ptr+=(node_lst[i]->surf_coord.Dim()/COORD_DIM)*surf_dof;
  999. }
  1000. }
  1001. buff[indx].AllocDevice(true);
  1002. }
  1003. {// 5. trg_val
  1004. int indx=5;
  1005. int trg_dof=kernel.ker_dim[1];
  1006. std::vector< FMMNode* > node_lst;
  1007. size_t buff_size=0;
  1008. for(size_t i=0;i<node.size();i++)
  1009. if(node[i]->IsLeaf() && !node[i]->IsGhost()){
  1010. node_lst.push_back(node[i]);
  1011. FMMData* fmm_data=((FMMData*)node[i]->FMMData());
  1012. buff_size+=(node[i]->trg_coord.Dim()/COORD_DIM)*trg_dof;
  1013. }
  1014. n_list[indx]=node_lst;
  1015. buff[indx].Resize(1,buff_size+(extra_size.size()>indx?extra_size[indx]:0));
  1016. Real_t* buff_ptr=&buff[indx][0][0];
  1017. for(size_t i=0;i<node_lst.size();i++){
  1018. FMMData* fmm_data=((FMMData*)node_lst[i]->FMMData());
  1019. { // trg_value
  1020. Vector<Real_t>& trg_value=node_lst[i]->trg_value;
  1021. trg_value.ReInit((node_lst[i]->trg_coord.Dim()/COORD_DIM)*trg_dof, buff_ptr, false);
  1022. buff_ptr+=(node_lst[i]->trg_coord.Dim()/COORD_DIM)*trg_dof;
  1023. }
  1024. }
  1025. #pragma omp parallel for
  1026. for(size_t i=0;i<node_lst.size();i++){
  1027. FMMData* fmm_data=((FMMData*)node_lst[i]->FMMData());
  1028. Vector<Real_t>& trg_value=node_lst[i]->trg_value;
  1029. trg_value.SetZero();
  1030. }
  1031. buff[indx].AllocDevice(true);
  1032. }
  1033. {// 6. pts_coord
  1034. int indx=6;
  1035. size_t m=MultipoleOrder();
  1036. std::vector< FMMNode* > node_lst;
  1037. size_t buff_size=0;
  1038. for(size_t i=0;i<node.size();i++)
  1039. if(node[i]->IsLeaf()){
  1040. node_lst.push_back(node[i]);
  1041. FMMData* fmm_data=((FMMData*)node[i]->FMMData());
  1042. buff_size+=node[i]->src_coord.Dim();
  1043. buff_size+=node[i]->surf_coord.Dim();
  1044. buff_size+=node[i]->trg_coord.Dim();
  1045. }
  1046. n_list[indx]=node_lst;
  1047. #pragma omp parallel for
  1048. for(size_t i=0;i<node_lst.size();i++){ // Move data before resizing buff[indx]
  1049. FMMData* fmm_data=((FMMData*)node_lst[i]->FMMData());
  1050. { // src_coord
  1051. Vector<Real_t>& src_coord=node_lst[i]->src_coord;
  1052. Vector<Real_t> new_buff=src_coord;
  1053. src_coord.ReInit(new_buff.Dim(), &new_buff[0]);
  1054. }
  1055. { // surf_coord
  1056. Vector<Real_t>& surf_coord=node_lst[i]->surf_coord;
  1057. Vector<Real_t> new_buff=surf_coord;
  1058. surf_coord.ReInit(new_buff.Dim(), &new_buff[0]);
  1059. }
  1060. { // trg_coord
  1061. Vector<Real_t>& trg_coord=node_lst[i]->trg_coord;
  1062. Vector<Real_t> new_buff=trg_coord;
  1063. trg_coord.ReInit(new_buff.Dim(), &new_buff[0]);
  1064. }
  1065. }
  1066. buff_size+=(extra_size.size()>indx?extra_size[indx]:0);
  1067. buff_size+=4*MAX_DEPTH*(6*(m-1)*(m-1)+2)*COORD_DIM;
  1068. buff[indx].Resize(1,buff_size);
  1069. Real_t* buff_ptr=&buff[indx][0][0];
  1070. for(size_t i=0;i<node_lst.size();i++){
  1071. FMMData* fmm_data=((FMMData*)node_lst[i]->FMMData());
  1072. { // src_coord
  1073. Vector<Real_t>& src_coord=node_lst[i]->src_coord;
  1074. mem::memcopy(buff_ptr,&src_coord[0],src_coord.Dim()*sizeof(Real_t));
  1075. src_coord.ReInit(node_lst[i]->src_coord.Dim(), buff_ptr, false);
  1076. buff_ptr+=node_lst[i]->src_coord.Dim();
  1077. }
  1078. { // surf_coord
  1079. Vector<Real_t>& surf_coord=node_lst[i]->surf_coord;
  1080. mem::memcopy(buff_ptr,&surf_coord[0],surf_coord.Dim()*sizeof(Real_t));
  1081. surf_coord.ReInit(node_lst[i]->surf_coord.Dim(), buff_ptr, false);
  1082. buff_ptr+=node_lst[i]->surf_coord.Dim();
  1083. }
  1084. { // trg_coord
  1085. Vector<Real_t>& trg_coord=node_lst[i]->trg_coord;
  1086. mem::memcopy(buff_ptr,&trg_coord[0],trg_coord.Dim()*sizeof(Real_t));
  1087. trg_coord.ReInit(node_lst[i]->trg_coord.Dim(), buff_ptr, false);
  1088. buff_ptr+=node_lst[i]->trg_coord.Dim();
  1089. }
  1090. }
  1091. { // check and equiv surfaces.
  1092. upwd_check_surf.resize(MAX_DEPTH);
  1093. upwd_equiv_surf.resize(MAX_DEPTH);
  1094. dnwd_check_surf.resize(MAX_DEPTH);
  1095. dnwd_equiv_surf.resize(MAX_DEPTH);
  1096. for(size_t depth=0;depth<MAX_DEPTH;depth++){
  1097. Real_t c[3]={0.0,0.0,0.0};
  1098. 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;
  1099. 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;
  1100. 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;
  1101. 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;
  1102. upwd_check_surf[depth]=u_check_surf(m,c,depth);
  1103. upwd_equiv_surf[depth]=u_equiv_surf(m,c,depth);
  1104. dnwd_check_surf[depth]=d_check_surf(m,c,depth);
  1105. dnwd_equiv_surf[depth]=d_equiv_surf(m,c,depth);
  1106. }
  1107. }
  1108. buff[indx].AllocDevice(true);
  1109. }
  1110. }
  1111. template <class FMMNode>
  1112. void FMM_Pts<FMMNode>::SetupPrecomp(SetupData<Real_t>& setup_data, bool device){
  1113. if(setup_data.precomp_data==NULL) return;
  1114. Profile::Tic("SetupPrecomp",&this->comm,true,25);
  1115. { // Build precomp_data
  1116. size_t precomp_offset=0;
  1117. int level=setup_data.level;
  1118. Matrix<char>& precomp_data=*setup_data.precomp_data;
  1119. std::vector<Mat_Type>& interac_type_lst=setup_data.interac_type;
  1120. for(size_t type_indx=0; type_indx<interac_type_lst.size(); type_indx++){
  1121. Mat_Type& interac_type=interac_type_lst[type_indx];
  1122. this->PrecompAll(interac_type, level); // Compute matrices.
  1123. precomp_offset=this->mat->CompactData(level, interac_type, precomp_data, precomp_offset);
  1124. }
  1125. }
  1126. Profile::Toc();
  1127. if(device){ // Host2Device
  1128. Profile::Tic("Host2Device",&this->comm,false,25);
  1129. setup_data.precomp_data->AllocDevice(true);
  1130. Profile::Toc();
  1131. }
  1132. }
  1133. template <class FMMNode>
  1134. void FMM_Pts<FMMNode>::SetupInterac(SetupData<Real_t>& setup_data, bool device){
  1135. int level=setup_data.level;
  1136. std::vector<Mat_Type>& interac_type_lst=setup_data.interac_type;
  1137. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  1138. std::vector<void*>& nodes_out=setup_data.nodes_out;
  1139. Matrix<Real_t>& input_data=*setup_data. input_data;
  1140. Matrix<Real_t>& output_data=*setup_data.output_data;
  1141. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector;
  1142. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector;
  1143. size_t n_in =nodes_in .size();
  1144. size_t n_out=nodes_out.size();
  1145. // Setup precomputed data.
  1146. SetupPrecomp(setup_data,device);
  1147. // Build interac_data
  1148. Profile::Tic("Interac-Data",&this->comm,true,25);
  1149. Matrix<char>& interac_data=setup_data.interac_data;
  1150. if(n_out>0 && n_in >0){ // Build precomp_data, interac_data
  1151. std::vector<size_t> interac_mat;
  1152. std::vector<size_t> interac_cnt;
  1153. std::vector<size_t> interac_blk;
  1154. std::vector<size_t> input_perm;
  1155. std::vector<size_t> output_perm;
  1156. std::vector<Real_t> scaling;
  1157. size_t dof=0, M_dim0=0, M_dim1=0;
  1158. size_t precomp_offset=0;
  1159. size_t buff_size=DEVICE_BUFFER_SIZE*1024l*1024l;
  1160. for(size_t type_indx=0; type_indx<interac_type_lst.size(); type_indx++){
  1161. Mat_Type& interac_type=interac_type_lst[type_indx];
  1162. size_t mat_cnt=this->interac_list.ListCount(interac_type);
  1163. Vector<size_t> precomp_data_offset;
  1164. { // Load precomp_data for interac_type.
  1165. Matrix<char>& precomp_data=*setup_data.precomp_data;
  1166. char* indx_ptr=precomp_data[0]+precomp_offset;
  1167. size_t total_size=((size_t*)indx_ptr)[0]; indx_ptr+=sizeof(size_t);
  1168. /*size_t mat_cnt_ =((size_t*)indx_ptr)[0];*/ indx_ptr+=sizeof(size_t);
  1169. precomp_data_offset.ReInit((1+2+2)*mat_cnt, (size_t*)indx_ptr, false);
  1170. precomp_offset+=total_size;
  1171. }
  1172. Matrix<FMMNode*> src_interac_list(n_in ,mat_cnt); src_interac_list.SetZero();
  1173. Matrix<FMMNode*> trg_interac_list(n_out,mat_cnt); trg_interac_list.SetZero();
  1174. { // Build trg_interac_list
  1175. for(size_t i=0;i<n_out;i++){
  1176. if(!((FMMNode*)nodes_out[i])->IsGhost() && (level==-1 || ((FMMNode*)nodes_out[i])->Depth()==level)){
  1177. std::vector<FMMNode*>& lst=((FMMNode*)nodes_out[i])->interac_list[interac_type];
  1178. mem::memcopy(&trg_interac_list[i][0], &lst[0], lst.size()*sizeof(FMMNode*));
  1179. assert(lst.size()==mat_cnt);
  1180. }
  1181. }
  1182. }
  1183. { // Build src_interac_list
  1184. for(size_t i=0;i<n_in ;i++) ((FMMNode*)nodes_in [i])->node_id=i;
  1185. for(size_t i=0;i<n_out;i++){
  1186. for(size_t j=0;j<mat_cnt;j++)
  1187. if(trg_interac_list[i][j]!=NULL){
  1188. src_interac_list[trg_interac_list[i][j]->node_id][j]=(FMMNode*)nodes_out[i];
  1189. }
  1190. }
  1191. }
  1192. Matrix<size_t> interac_dsp(n_out,mat_cnt);
  1193. std::vector<size_t> interac_blk_dsp(1,0);
  1194. { // Determine dof, M_dim0, M_dim1
  1195. dof=1;
  1196. Matrix<Real_t>& M0 = this->interac_list.ClassMat(level, interac_type_lst[0], 0);
  1197. M_dim0=M0.Dim(0); M_dim1=M0.Dim(1);
  1198. }
  1199. { // Determine interaction blocks which fit in memory.
  1200. size_t vec_size=(M_dim0+M_dim1)*sizeof(Real_t)*dof;
  1201. for(size_t j=0;j<mat_cnt;j++){// Determine minimum buff_size
  1202. size_t vec_cnt=0;
  1203. for(size_t i=0;i<n_out;i++){
  1204. if(trg_interac_list[i][j]!=NULL) vec_cnt++;
  1205. }
  1206. if(buff_size<vec_cnt*vec_size)
  1207. buff_size=vec_cnt*vec_size;
  1208. }
  1209. size_t interac_dsp_=0;
  1210. for(size_t j=0;j<mat_cnt;j++){
  1211. for(size_t i=0;i<n_out;i++){
  1212. interac_dsp[i][j]=interac_dsp_;
  1213. if(trg_interac_list[i][j]!=NULL) interac_dsp_++;
  1214. }
  1215. if(interac_dsp_*vec_size>buff_size){
  1216. interac_blk.push_back(j-interac_blk_dsp.back());
  1217. interac_blk_dsp.push_back(j);
  1218. size_t offset=interac_dsp[0][j];
  1219. for(size_t i=0;i<n_out;i++) interac_dsp[i][j]-=offset;
  1220. interac_dsp_-=offset;
  1221. assert(interac_dsp_*vec_size<=buff_size); // Problem too big for buff_size.
  1222. }
  1223. interac_mat.push_back(precomp_data_offset[5*this->interac_list.InteracClass(interac_type,j)+0]);
  1224. interac_cnt.push_back(interac_dsp_-interac_dsp[0][j]);
  1225. }
  1226. interac_blk.push_back(mat_cnt-interac_blk_dsp.back());
  1227. interac_blk_dsp.push_back(mat_cnt);
  1228. }
  1229. { // Determine input_perm.
  1230. size_t vec_size=M_dim0*dof;
  1231. for(size_t i=0;i<n_out;i++) ((FMMNode*)nodes_out[i])->node_id=i;
  1232. for(size_t k=1;k<interac_blk_dsp.size();k++){
  1233. for(size_t i=0;i<n_in ;i++){
  1234. for(size_t j=interac_blk_dsp[k-1];j<interac_blk_dsp[k];j++){
  1235. FMMNode_t* trg_node=src_interac_list[i][j];
  1236. if(trg_node!=NULL){
  1237. input_perm .push_back(precomp_data_offset[5*j+1]); // prem
  1238. input_perm .push_back(precomp_data_offset[5*j+2]); // scal
  1239. input_perm .push_back(interac_dsp[trg_node->node_id][j]*vec_size*sizeof(Real_t)); // trg_ptr
  1240. input_perm .push_back((size_t)(& input_vector[i][0][0]- input_data[0])); // src_ptr
  1241. assert(input_vector[i]->Dim()==vec_size);
  1242. }
  1243. }
  1244. }
  1245. }
  1246. }
  1247. { // Determine scaling and output_perm
  1248. size_t vec_size=M_dim1*dof;
  1249. for(size_t k=1;k<interac_blk_dsp.size();k++){
  1250. for(size_t i=0;i<n_out;i++){
  1251. Real_t scaling_=0.0;
  1252. if(!this->Homogen()) scaling_=1.0;
  1253. else if(interac_type==S2U_Type) scaling_=pow(0.5, COORD_DIM *((FMMNode*)nodes_out[i])->Depth());
  1254. else if(interac_type==U2U_Type) scaling_=1.0;
  1255. else if(interac_type==D2D_Type) scaling_=1.0;
  1256. else if(interac_type==D2T_Type) scaling_=pow(0.5, -setup_data.kernel->poten_scale *((FMMNode*)nodes_out[i])->Depth());
  1257. else if(interac_type== U0_Type) scaling_=pow(0.5,(COORD_DIM-setup_data.kernel->poten_scale)*((FMMNode*)nodes_out[i])->Depth());
  1258. else if(interac_type== U1_Type) scaling_=pow(0.5,(COORD_DIM-setup_data.kernel->poten_scale)*((FMMNode*)nodes_out[i])->Depth());
  1259. else if(interac_type== U2_Type) scaling_=pow(0.5,(COORD_DIM-setup_data.kernel->poten_scale)*((FMMNode*)nodes_out[i])->Depth());
  1260. else if(interac_type== W_Type) scaling_=pow(0.5, -setup_data.kernel->poten_scale *((FMMNode*)nodes_out[i])->Depth());
  1261. else if(interac_type== X_Type) scaling_=pow(0.5, COORD_DIM *((FMMNode*)nodes_out[i])->Depth());
  1262. for(size_t j=interac_blk_dsp[k-1];j<interac_blk_dsp[k];j++){
  1263. if(trg_interac_list[i][j]!=NULL){
  1264. scaling.push_back(scaling_); // scaling
  1265. output_perm.push_back(precomp_data_offset[5*j+3]); // prem
  1266. output_perm.push_back(precomp_data_offset[5*j+4]); // scal
  1267. output_perm.push_back(interac_dsp[ i ][j]*vec_size*sizeof(Real_t)); // src_ptr
  1268. output_perm.push_back((size_t)(&output_vector[i][0][0]-output_data[0])); // trg_ptr
  1269. assert(output_vector[i]->Dim()==vec_size);
  1270. }
  1271. }
  1272. }
  1273. }
  1274. }
  1275. }
  1276. if(this->dev_buffer.Dim()<buff_size) this->dev_buffer.Resize(buff_size);
  1277. if(this->cpu_buffer.Dim()<buff_size) this->cpu_buffer.Resize(buff_size);
  1278. { // Set interac_data.
  1279. size_t data_size=sizeof(size_t)*4;
  1280. data_size+=sizeof(size_t)+interac_blk.size()*sizeof(size_t);
  1281. data_size+=sizeof(size_t)+interac_cnt.size()*sizeof(size_t);
  1282. data_size+=sizeof(size_t)+interac_mat.size()*sizeof(size_t);
  1283. data_size+=sizeof(size_t)+ input_perm.size()*sizeof(size_t);
  1284. data_size+=sizeof(size_t)+output_perm.size()*sizeof(size_t);
  1285. data_size+=sizeof(size_t)+scaling.size()*sizeof(Real_t);
  1286. if(interac_data.Dim(0)*interac_data.Dim(1)<sizeof(size_t)){
  1287. data_size+=sizeof(size_t);
  1288. interac_data.Resize(1,data_size);
  1289. ((size_t*)&interac_data[0][0])[0]=sizeof(size_t);
  1290. }else{
  1291. size_t pts_data_size=*((size_t*)&interac_data[0][0]);
  1292. assert(interac_data.Dim(0)*interac_data.Dim(1)>=pts_data_size);
  1293. data_size+=pts_data_size;
  1294. if(data_size>interac_data.Dim(0)*interac_data.Dim(1)){ //Resize and copy interac_data.
  1295. Matrix< char> pts_interac_data=interac_data;
  1296. interac_data.Resize(1,data_size);
  1297. mem::memcopy(&interac_data[0][0],&pts_interac_data[0][0],pts_data_size);
  1298. }
  1299. }
  1300. char* data_ptr=&interac_data[0][0];
  1301. data_ptr+=((size_t*)data_ptr)[0];
  1302. ((size_t*)data_ptr)[0]=data_size; data_ptr+=sizeof(size_t);
  1303. ((size_t*)data_ptr)[0]= M_dim0; data_ptr+=sizeof(size_t);
  1304. ((size_t*)data_ptr)[0]= M_dim1; data_ptr+=sizeof(size_t);
  1305. ((size_t*)data_ptr)[0]= dof; data_ptr+=sizeof(size_t);
  1306. ((size_t*)data_ptr)[0]=interac_blk.size(); data_ptr+=sizeof(size_t);
  1307. mem::memcopy(data_ptr, &interac_blk[0], interac_blk.size()*sizeof(size_t));
  1308. data_ptr+=interac_blk.size()*sizeof(size_t);
  1309. ((size_t*)data_ptr)[0]=interac_cnt.size(); data_ptr+=sizeof(size_t);
  1310. mem::memcopy(data_ptr, &interac_cnt[0], interac_cnt.size()*sizeof(size_t));
  1311. data_ptr+=interac_cnt.size()*sizeof(size_t);
  1312. ((size_t*)data_ptr)[0]=interac_mat.size(); data_ptr+=sizeof(size_t);
  1313. mem::memcopy(data_ptr, &interac_mat[0], interac_mat.size()*sizeof(size_t));
  1314. data_ptr+=interac_mat.size()*sizeof(size_t);
  1315. ((size_t*)data_ptr)[0]= input_perm.size(); data_ptr+=sizeof(size_t);
  1316. mem::memcopy(data_ptr, & input_perm[0], input_perm.size()*sizeof(size_t));
  1317. data_ptr+= input_perm.size()*sizeof(size_t);
  1318. ((size_t*)data_ptr)[0]=output_perm.size(); data_ptr+=sizeof(size_t);
  1319. mem::memcopy(data_ptr, &output_perm[0], output_perm.size()*sizeof(size_t));
  1320. data_ptr+=output_perm.size()*sizeof(size_t);
  1321. ((size_t*)data_ptr)[0]=scaling.size(); data_ptr+=sizeof(size_t);
  1322. mem::memcopy(data_ptr, &scaling[0], scaling.size()*sizeof(Real_t));
  1323. data_ptr+=scaling.size()*sizeof(Real_t);
  1324. }
  1325. }
  1326. Profile::Toc();
  1327. if(device){ // Host2Device
  1328. Profile::Tic("Host2Device",&this->comm,false,25);
  1329. setup_data.interac_data .AllocDevice(true);
  1330. Profile::Toc();
  1331. }
  1332. }
  1333. template <class FMMNode>
  1334. void FMM_Pts<FMMNode>::EvalList(SetupData<Real_t>& setup_data, bool device){
  1335. if(setup_data.interac_data.Dim(0)==0 || setup_data.interac_data.Dim(1)==0){
  1336. Profile::Tic("Host2Device",&this->comm,false,25);
  1337. Profile::Toc();
  1338. Profile::Tic("DeviceComp",&this->comm,false,20);
  1339. Profile::Toc();
  1340. return;
  1341. }
  1342. Profile::Tic("Host2Device",&this->comm,false,25);
  1343. typename Vector<char>::Device buff;
  1344. typename Matrix<char>::Device precomp_data;
  1345. typename Matrix<char>::Device interac_data;
  1346. typename Matrix<Real_t>::Device input_data;
  1347. typename Matrix<Real_t>::Device output_data;
  1348. if(device){
  1349. buff = this-> dev_buffer. AllocDevice(false);
  1350. precomp_data= setup_data.precomp_data->AllocDevice(false);
  1351. interac_data= setup_data.interac_data. AllocDevice(false);
  1352. input_data = setup_data. input_data->AllocDevice(false);
  1353. output_data = setup_data. output_data->AllocDevice(false);
  1354. }else{
  1355. buff = this-> cpu_buffer;
  1356. precomp_data=*setup_data.precomp_data;
  1357. interac_data= setup_data.interac_data;
  1358. input_data =*setup_data. input_data;
  1359. output_data =*setup_data. output_data;
  1360. }
  1361. Profile::Toc();
  1362. Profile::Tic("DeviceComp",&this->comm,false,20);
  1363. #ifdef __INTEL_OFFLOAD
  1364. int lock_idx=-1;
  1365. int wait_lock_idx=-1;
  1366. if(device) wait_lock_idx=MIC_Lock::curr_lock();
  1367. if(device) lock_idx=MIC_Lock::get_lock();
  1368. #pragma offload if(device) target(mic:0) signal(&MIC_Lock::lock_vec[device?lock_idx:0])
  1369. #endif
  1370. { // Offloaded computation.
  1371. // Set interac_data.
  1372. size_t data_size, M_dim0, M_dim1, dof;
  1373. Vector<size_t> interac_blk;
  1374. Vector<size_t> interac_cnt;
  1375. Vector<size_t> interac_mat;
  1376. Vector<size_t> input_perm;
  1377. Vector<size_t> output_perm;
  1378. Vector<Real_t> scaling;
  1379. { // Set interac_data.
  1380. char* data_ptr=&interac_data[0][0];
  1381. data_size=((size_t*)data_ptr)[0]; data_ptr+=data_size;
  1382. data_size=((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  1383. M_dim0 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  1384. M_dim1 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  1385. dof =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  1386. interac_blk.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1387. data_ptr+=sizeof(size_t)+interac_blk.Dim()*sizeof(size_t);
  1388. interac_cnt.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1389. data_ptr+=sizeof(size_t)+interac_cnt.Dim()*sizeof(size_t);
  1390. interac_mat.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1391. data_ptr+=sizeof(size_t)+interac_mat.Dim()*sizeof(size_t);
  1392. input_perm .ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1393. data_ptr+=sizeof(size_t)+ input_perm.Dim()*sizeof(size_t);
  1394. output_perm.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  1395. data_ptr+=sizeof(size_t)+output_perm.Dim()*sizeof(size_t);
  1396. scaling.ReInit(((size_t*)data_ptr)[0],(Real_t*)(data_ptr+sizeof(size_t)),false);
  1397. data_ptr+=sizeof(size_t)+scaling.Dim()*sizeof(Real_t);
  1398. }
  1399. #ifdef __INTEL_OFFLOAD
  1400. if(device) MIC_Lock::wait_lock(wait_lock_idx);
  1401. #endif
  1402. //Compute interaction from Chebyshev source density.
  1403. { // interactions
  1404. int omp_p=omp_get_max_threads();
  1405. size_t interac_indx=0;
  1406. size_t interac_blk_dsp=0;
  1407. for(size_t k=0;k<interac_blk.Dim();k++){
  1408. size_t vec_cnt=0;
  1409. for(size_t j=interac_blk_dsp;j<interac_blk_dsp+interac_blk[k];j++) vec_cnt+=interac_cnt[j];
  1410. char* buff_in =&buff[0];
  1411. char* buff_out=&buff[vec_cnt*dof*M_dim0*sizeof(Real_t)];
  1412. // Input permutation.
  1413. #pragma omp parallel for
  1414. for(int tid=0;tid<omp_p;tid++){
  1415. size_t a=( tid *vec_cnt)/omp_p;
  1416. size_t b=((tid+1)*vec_cnt)/omp_p;
  1417. for(size_t i=a;i<b;i++){
  1418. const PERM_INT_T* perm=(PERM_INT_T*)(precomp_data[0]+input_perm[(interac_indx+i)*4+0]);
  1419. const Real_t* scal=( Real_t*)(precomp_data[0]+input_perm[(interac_indx+i)*4+1]);
  1420. const Real_t* v_in =( Real_t*)( input_data[0]+input_perm[(interac_indx+i)*4+3]);
  1421. Real_t* v_out=( Real_t*)( buff_in +input_perm[(interac_indx+i)*4+2]);
  1422. // TODO: Fix for dof>1
  1423. #ifdef __MIC__
  1424. {
  1425. __m512d v8;
  1426. size_t j_start=(((uintptr_t)(v_out ) + (uintptr_t)(MEM_ALIGN-1)) & ~ (uintptr_t)(MEM_ALIGN-1))-((uintptr_t)v_out);
  1427. size_t j_end =(((uintptr_t)(v_out+M_dim0) ) & ~ (uintptr_t)(MEM_ALIGN-1))-((uintptr_t)v_out);
  1428. j_start/=sizeof(Real_t);
  1429. j_end /=sizeof(Real_t);
  1430. assert(((uintptr_t)(v_out))%sizeof(Real_t)==0);
  1431. assert(((uintptr_t)(v_out+j_start))%64==0);
  1432. assert(((uintptr_t)(v_out+j_end ))%64==0);
  1433. size_t j=0;
  1434. for(;j<j_start;j++ ){
  1435. v_out[j]=v_in[perm[j]]*scal[j];
  1436. }
  1437. for(;j<j_end ;j+=8){
  1438. v8=_mm512_setr_pd(
  1439. v_in[perm[j+0]]*scal[j+0],
  1440. v_in[perm[j+1]]*scal[j+1],
  1441. v_in[perm[j+2]]*scal[j+2],
  1442. v_in[perm[j+3]]*scal[j+3],
  1443. v_in[perm[j+4]]*scal[j+4],
  1444. v_in[perm[j+5]]*scal[j+5],
  1445. v_in[perm[j+6]]*scal[j+6],
  1446. v_in[perm[j+7]]*scal[j+7]);
  1447. _mm512_storenrngo_pd(v_out+j,v8);
  1448. }
  1449. for(;j<M_dim0 ;j++ ){
  1450. v_out[j]=v_in[perm[j]]*scal[j];
  1451. }
  1452. }
  1453. #else
  1454. for(size_t j=0;j<M_dim0;j++ ){
  1455. v_out[j]=v_in[perm[j]]*scal[j];
  1456. }
  1457. #endif
  1458. }
  1459. }
  1460. size_t vec_cnt0=0;
  1461. for(size_t j=interac_blk_dsp;j<interac_blk_dsp+interac_blk[k];){
  1462. size_t vec_cnt1=0;
  1463. size_t interac_mat0=interac_mat[j];
  1464. for(;j<interac_blk_dsp+interac_blk[k] && interac_mat[j]==interac_mat0;j++) vec_cnt1+=interac_cnt[j];
  1465. Matrix<Real_t> M(M_dim0, M_dim1, (Real_t*)(precomp_data[0]+interac_mat0), false);
  1466. #ifdef __MIC__
  1467. {
  1468. Matrix<Real_t> Ms(dof*vec_cnt1, M_dim0, (Real_t*)(buff_in +M_dim0*vec_cnt0*dof*sizeof(Real_t)), false);
  1469. Matrix<Real_t> Mt(dof*vec_cnt1, M_dim1, (Real_t*)(buff_out+M_dim1*vec_cnt0*dof*sizeof(Real_t)), false);
  1470. Matrix<Real_t>::DGEMM(Mt,Ms,M);
  1471. }
  1472. #else
  1473. #pragma omp parallel for
  1474. for(int tid=0;tid<omp_p;tid++){
  1475. size_t a=(dof*vec_cnt1*(tid ))/omp_p;
  1476. size_t b=(dof*vec_cnt1*(tid+1))/omp_p;
  1477. Matrix<Real_t> Ms(b-a, M_dim0, (Real_t*)(buff_in +M_dim0*vec_cnt0*dof*sizeof(Real_t))+M_dim0*a, false);
  1478. Matrix<Real_t> Mt(b-a, M_dim1, (Real_t*)(buff_out+M_dim1*vec_cnt0*dof*sizeof(Real_t))+M_dim1*a, false);
  1479. Matrix<Real_t>::DGEMM(Mt,Ms,M);
  1480. }
  1481. #endif
  1482. vec_cnt0+=vec_cnt1;
  1483. }
  1484. // Output permutation.
  1485. #pragma omp parallel for
  1486. for(int tid=0;tid<omp_p;tid++){
  1487. size_t a=( tid *vec_cnt)/omp_p;
  1488. size_t b=((tid+1)*vec_cnt)/omp_p;
  1489. if(tid> 0 && a<vec_cnt){ // Find 'a' independent of other threads.
  1490. size_t out_ptr=output_perm[(interac_indx+a)*4+3];
  1491. if(tid> 0) while(a<vec_cnt && out_ptr==output_perm[(interac_indx+a)*4+3]) a++;
  1492. }
  1493. if(tid<omp_p-1 && b<vec_cnt){ // Find 'b' independent of other threads.
  1494. size_t out_ptr=output_perm[(interac_indx+b)*4+3];
  1495. if(tid<omp_p-1) while(b<vec_cnt && out_ptr==output_perm[(interac_indx+b)*4+3]) b++;
  1496. }
  1497. for(size_t i=a;i<b;i++){ // Compute permutations.
  1498. Real_t scaling_factor=scaling[interac_indx+i];
  1499. const PERM_INT_T* perm=(PERM_INT_T*)(precomp_data[0]+output_perm[(interac_indx+i)*4+0]);
  1500. const Real_t* scal=( Real_t*)(precomp_data[0]+output_perm[(interac_indx+i)*4+1]);
  1501. const Real_t* v_in =( Real_t*)( buff_out +output_perm[(interac_indx+i)*4+2]);
  1502. Real_t* v_out=( Real_t*)( output_data[0]+output_perm[(interac_indx+i)*4+3]);
  1503. // TODO: Fix for dof>1
  1504. #ifdef __MIC__
  1505. {
  1506. __m512d v8;
  1507. __m512d v_old;
  1508. size_t j_start=(((uintptr_t)(v_out ) + (uintptr_t)(MEM_ALIGN-1)) & ~ (uintptr_t)(MEM_ALIGN-1))-((uintptr_t)v_out);
  1509. size_t j_end =(((uintptr_t)(v_out+M_dim1) ) & ~ (uintptr_t)(MEM_ALIGN-1))-((uintptr_t)v_out);
  1510. j_start/=sizeof(Real_t);
  1511. j_end /=sizeof(Real_t);
  1512. assert(((uintptr_t)(v_out))%sizeof(Real_t)==0);
  1513. assert(((uintptr_t)(v_out+j_start))%64==0);
  1514. assert(((uintptr_t)(v_out+j_end ))%64==0);
  1515. size_t j=0;
  1516. for(;j<j_start;j++ ){
  1517. v_out[j]+=v_in[perm[j]]*scal[j]*scaling_factor;
  1518. }
  1519. for(;j<j_end ;j+=8){
  1520. v_old=_mm512_load_pd(v_out+j);
  1521. v8=_mm512_setr_pd(
  1522. v_in[perm[j+0]]*scal[j+0]*scaling_factor,
  1523. v_in[perm[j+1]]*scal[j+1]*scaling_factor,
  1524. v_in[perm[j+2]]*scal[j+2]*scaling_factor,
  1525. v_in[perm[j+3]]*scal[j+3]*scaling_factor,
  1526. v_in[perm[j+4]]*scal[j+4]*scaling_factor,
  1527. v_in[perm[j+5]]*scal[j+5]*scaling_factor,
  1528. v_in[perm[j+6]]*scal[j+6]*scaling_factor,
  1529. v_in[perm[j+7]]*scal[j+7]*scaling_factor);
  1530. v_old=_mm512_add_pd(v_old, v8);
  1531. _mm512_storenrngo_pd(v_out+j,v_old);
  1532. }
  1533. for(;j<M_dim1 ;j++ ){
  1534. v_out[j]+=v_in[perm[j]]*scal[j]*scaling_factor;
  1535. }
  1536. }
  1537. #else
  1538. for(size_t j=0;j<M_dim1;j++ ){
  1539. v_out[j]+=v_in[perm[j]]*scal[j]*scaling_factor;
  1540. }
  1541. #endif
  1542. }
  1543. }
  1544. interac_indx+=vec_cnt;
  1545. interac_blk_dsp+=interac_blk[k];
  1546. }
  1547. }
  1548. #ifdef __INTEL_OFFLOAD
  1549. if(device) MIC_Lock::release_lock(lock_idx);
  1550. #endif
  1551. }
  1552. #ifndef __MIC_ASYNCH__
  1553. #ifdef __INTEL_OFFLOAD
  1554. #pragma offload if(device) target(mic:0)
  1555. {if(device) MIC_Lock::wait_lock(lock_idx);}
  1556. #endif
  1557. #endif
  1558. Profile::Toc();
  1559. }
  1560. template <class FMMNode>
  1561. 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){
  1562. { // Set setup_data
  1563. setup_data.level=level;
  1564. setup_data.kernel=&aux_kernel;
  1565. setup_data.interac_type.resize(1);
  1566. setup_data.interac_type[0]=S2U_Type;
  1567. setup_data. input_data=&buff[4];
  1568. setup_data.output_data=&buff[0];
  1569. setup_data. coord_data=&buff[6];
  1570. Vector<FMMNode_t*>& nodes_in =n_list[4];
  1571. Vector<FMMNode_t*>& nodes_out=n_list[0];
  1572. setup_data.nodes_in .clear();
  1573. setup_data.nodes_out.clear();
  1574. 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]);
  1575. 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]);
  1576. }
  1577. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  1578. std::vector<void*>& nodes_out=setup_data.nodes_out;
  1579. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  1580. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  1581. for(size_t i=0;i<nodes_in .size();i++){
  1582. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_coord);
  1583. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_value);
  1584. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_coord);
  1585. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_value);
  1586. }
  1587. for(size_t i=0;i<nodes_out.size();i++){
  1588. output_vector.push_back(&upwd_check_surf[((FMMNode*)nodes_out[i])->Depth()]);
  1589. output_vector.push_back(&((FMMData*)((FMMNode*)nodes_out[i])->FMMData())->upward_equiv);
  1590. }
  1591. //Upward check to upward equivalent matrix.
  1592. Matrix<Real_t>& M_uc2ue = this->mat->Mat(level, UC2UE_Type, 0);
  1593. this->SetupInteracPts(setup_data, false, true, &M_uc2ue,device);
  1594. { // Resize device buffer
  1595. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  1596. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  1597. }
  1598. }
  1599. template <class FMMNode>
  1600. void FMM_Pts<FMMNode>::Source2Up(SetupData<Real_t>& setup_data, bool device){
  1601. //Add Source2Up contribution.
  1602. this->EvalListPts(setup_data, device);
  1603. }
  1604. template <class FMMNode>
  1605. 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){
  1606. { // Set setup_data
  1607. setup_data.level=level;
  1608. setup_data.kernel=&aux_kernel;
  1609. setup_data.interac_type.resize(1);
  1610. setup_data.interac_type[0]=U2U_Type;
  1611. setup_data. input_data=&buff[0];
  1612. setup_data.output_data=&buff[0];
  1613. Vector<FMMNode_t*>& nodes_in =n_list[0];
  1614. Vector<FMMNode_t*>& nodes_out=n_list[0];
  1615. setup_data.nodes_in .clear();
  1616. setup_data.nodes_out.clear();
  1617. 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]);
  1618. 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]);
  1619. }
  1620. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  1621. std::vector<void*>& nodes_out=setup_data.nodes_out;
  1622. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  1623. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  1624. for(size_t i=0;i<nodes_in .size();i++) input_vector.push_back(&((FMMData*)((FMMNode*)nodes_in [i])->FMMData())->upward_equiv);
  1625. for(size_t i=0;i<nodes_out.size();i++) output_vector.push_back(&((FMMData*)((FMMNode*)nodes_out[i])->FMMData())->upward_equiv);
  1626. SetupInterac(setup_data,device);
  1627. }
  1628. template <class FMMNode>
  1629. void FMM_Pts<FMMNode>::Up2Up (SetupData<Real_t>& setup_data, bool device){
  1630. //Add Up2Up contribution.
  1631. EvalList(setup_data, device);
  1632. }
  1633. template <class FMMNode>
  1634. void FMM_Pts<FMMNode>::PeriodicBC(FMMNode* node){
  1635. Matrix<Real_t>& M = Precomp(0, BC_Type, 0);
  1636. assert(node->FMMData()->upward_equiv.Dim()>0);
  1637. int dof=1;
  1638. Vector<Real_t>& upward_equiv=node->FMMData()->upward_equiv;
  1639. Vector<Real_t>& dnward_equiv=node->FMMData()->dnward_equiv;
  1640. assert(upward_equiv.Dim()==M.Dim(0)*dof);
  1641. assert(dnward_equiv.Dim()==M.Dim(1)*dof);
  1642. Matrix<Real_t> d_equiv(dof,M.Dim(0),&dnward_equiv[0],false);
  1643. Matrix<Real_t> u_equiv(dof,M.Dim(1),&upward_equiv[0],false);
  1644. Matrix<Real_t>::DGEMM(d_equiv,u_equiv,M);
  1645. }
  1646. template <class FMMNode>
  1647. void FMM_Pts<FMMNode>::FFT_UpEquiv(size_t dof, size_t m, size_t ker_dim0, Vector<size_t>& fft_vec,
  1648. Vector<Real_t>& input_data, Vector<Real_t>& output_data, Vector<Real_t>& buffer_){
  1649. size_t n1=m*2;
  1650. size_t n2=n1*n1;
  1651. size_t n3=n1*n2;
  1652. size_t n3_=n2*(n1/2+1);
  1653. size_t chld_cnt=1UL<<COORD_DIM;
  1654. size_t fftsize_in =2*n3_*chld_cnt*ker_dim0*dof;
  1655. int omp_p=omp_get_max_threads();
  1656. //Load permutation map.
  1657. size_t n=6*(m-1)*(m-1)+2;
  1658. static Vector<size_t> map;
  1659. { // Build map to reorder upward_equiv
  1660. size_t n_old=map.Dim();
  1661. if(n_old!=n){
  1662. Real_t c[3]={0,0,0};
  1663. Vector<Real_t> surf=surface(m, c, (Real_t)(m-1), 0);
  1664. map.Resize(surf.Dim()/COORD_DIM);
  1665. for(size_t i=0;i<map.Dim();i++)
  1666. 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;
  1667. }
  1668. }
  1669. { // Build FFTW plan.
  1670. if(!vlist_fft_flag){
  1671. int nnn[3]={(int)n1,(int)n1,(int)n1};
  1672. void *fftw_in, *fftw_out;
  1673. fftw_in = mem::aligned_malloc<Real_t>( n3 *ker_dim0*chld_cnt);
  1674. fftw_out = mem::aligned_malloc<Real_t>(2*n3_*ker_dim0*chld_cnt);
  1675. vlist_fftplan = FFTW_t<Real_t>::fft_plan_many_dft_r2c(COORD_DIM,nnn,ker_dim0*chld_cnt,
  1676. (Real_t*)fftw_in, NULL, 1, n3, (typename FFTW_t<Real_t>::cplx*)(fftw_out),NULL, 1, n3_, FFTW_ESTIMATE);
  1677. mem::aligned_free<Real_t>((Real_t*)fftw_in );
  1678. mem::aligned_free<Real_t>((Real_t*)fftw_out);
  1679. vlist_fft_flag=true;
  1680. }
  1681. }
  1682. { // Offload section
  1683. size_t n_in = fft_vec.Dim();
  1684. #pragma omp parallel for
  1685. for(int pid=0; pid<omp_p; pid++){
  1686. size_t node_start=(n_in*(pid ))/omp_p;
  1687. size_t node_end =(n_in*(pid+1))/omp_p;
  1688. Vector<Real_t> buffer(fftsize_in, &buffer_[fftsize_in*pid], false);
  1689. for(size_t node_idx=node_start; node_idx<node_end; node_idx++){
  1690. Vector<Real_t*> upward_equiv(chld_cnt);
  1691. for(size_t i=0;i<chld_cnt;i++) upward_equiv[i]=&input_data[0] + fft_vec[node_idx] + n*ker_dim0*dof*i;
  1692. Vector<Real_t> upward_equiv_fft(fftsize_in, &output_data[fftsize_in *node_idx], false);
  1693. upward_equiv_fft.SetZero();
  1694. // Rearrange upward equivalent data.
  1695. for(size_t k=0;k<n;k++){
  1696. size_t idx=map[k];
  1697. for(int j1=0;j1<dof;j1++)
  1698. for(int j0=0;j0<(int)chld_cnt;j0++)
  1699. for(int i=0;i<ker_dim0;i++)
  1700. upward_equiv_fft[idx+(j0+(i+j1*ker_dim0)*chld_cnt)*n3]=upward_equiv[j0][ker_dim0*(n*j1+k)+i];
  1701. }
  1702. // Compute FFT.
  1703. for(int i=0;i<dof;i++)
  1704. FFTW_t<Real_t>::fft_execute_dft_r2c(vlist_fftplan, (Real_t*)&upward_equiv_fft[i* n3 *ker_dim0*chld_cnt],
  1705. (typename FFTW_t<Real_t>::cplx*)&buffer [i*2*n3_*ker_dim0*chld_cnt]);
  1706. //Compute flops.
  1707. #ifndef FFTW3_MKL
  1708. double add, mul, fma;
  1709. fftw_flops(vlist_fftplan, &add, &mul, &fma);
  1710. #ifndef __INTEL_OFFLOAD0
  1711. Profile::Add_FLOP((long long)(add+mul+2*fma));
  1712. #endif
  1713. #endif
  1714. for(int i=0;i<ker_dim0*dof;i++)
  1715. for(size_t j=0;j<n3_;j++)
  1716. for(size_t k=0;k<chld_cnt;k++){
  1717. upward_equiv_fft[2*(chld_cnt*(n3_*i+j)+k)+0]=buffer[2*(n3_*(chld_cnt*i+k)+j)+0];
  1718. upward_equiv_fft[2*(chld_cnt*(n3_*i+j)+k)+1]=buffer[2*(n3_*(chld_cnt*i+k)+j)+1];
  1719. }
  1720. }
  1721. }
  1722. }
  1723. }
  1724. template <class FMMNode>
  1725. void FMM_Pts<FMMNode>::FFT_Check2Equiv(size_t dof, size_t m, size_t ker_dim1, Vector<size_t>& ifft_vec,
  1726. Vector<Real_t>& input_data, Vector<Real_t>& output_data, Vector<Real_t>& buffer_, Matrix<Real_t>& M){
  1727. size_t n1=m*2;
  1728. size_t n2=n1*n1;
  1729. size_t n3=n1*n2;
  1730. size_t n3_=n2*(n1/2+1);
  1731. size_t chld_cnt=1UL<<COORD_DIM;
  1732. size_t fftsize_out=2*n3_*dof*ker_dim1*chld_cnt;
  1733. int omp_p=omp_get_max_threads();
  1734. //Load permutation map.
  1735. size_t n=6*(m-1)*(m-1)+2;
  1736. static Vector<size_t> map;
  1737. { // Build map to reorder dnward_check
  1738. size_t n_old=map.Dim();
  1739. if(n_old!=n){
  1740. Real_t c[3]={0,0,0};
  1741. Vector<Real_t> surf=surface(m, c, (Real_t)(m-1), 0);
  1742. map.Resize(surf.Dim()/COORD_DIM);
  1743. for(size_t i=0;i<map.Dim();i++)
  1744. 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;
  1745. //map;//.AllocDevice(true);
  1746. }
  1747. }
  1748. { // Build FFTW plan.
  1749. if(!vlist_ifft_flag){
  1750. //Build FFTW plan.
  1751. int nnn[3]={(int)n1,(int)n1,(int)n1};
  1752. void *fftw_in, *fftw_out;
  1753. fftw_in = fftw_malloc(2*n3_*ker_dim1*sizeof(Real_t)*chld_cnt);
  1754. fftw_out = fftw_malloc( n3 *ker_dim1*sizeof(Real_t)*chld_cnt);
  1755. vlist_ifftplan = FFTW_t<Real_t>::fft_plan_many_dft_c2r(COORD_DIM,nnn,ker_dim1*chld_cnt,
  1756. (typename FFTW_t<Real_t>::cplx*)fftw_in, NULL, 1, n3_, (Real_t*)(fftw_out),NULL, 1, n3, FFTW_ESTIMATE);
  1757. fftw_free(fftw_in);
  1758. fftw_free(fftw_out);
  1759. vlist_ifft_flag=true;
  1760. }
  1761. }
  1762. { // Offload section
  1763. size_t n_out=ifft_vec.Dim();
  1764. #pragma omp parallel for
  1765. for(int pid=0; pid<omp_p; pid++){
  1766. size_t node_start=(n_out*(pid ))/omp_p;
  1767. size_t node_end =(n_out*(pid+1))/omp_p;
  1768. Vector<Real_t> buffer(fftsize_out, &buffer_[fftsize_out*pid], false);
  1769. for(size_t node_idx=node_start; node_idx<node_end; node_idx++){
  1770. Vector<Real_t> dnward_check_fft(fftsize_out, &input_data[fftsize_out*node_idx], false);
  1771. //De-interleave data.
  1772. for(int i=0;i<ker_dim1*dof;i++)
  1773. for(size_t j=0;j<n3_;j++)
  1774. for(size_t k=0;k<chld_cnt;k++){
  1775. buffer[2*(n3_*(ker_dim1*dof*k+i)+j)+0]=dnward_check_fft[2*(chld_cnt*(n3_*i+j)+k)+0];
  1776. buffer[2*(n3_*(ker_dim1*dof*k+i)+j)+1]=dnward_check_fft[2*(chld_cnt*(n3_*i+j)+k)+1];
  1777. }
  1778. // Compute FFT.
  1779. for(int i=0;i<dof;i++)
  1780. FFTW_t<Real_t>::fft_execute_dft_c2r(vlist_ifftplan, (typename FFTW_t<Real_t>::cplx*)&buffer [i*2*n3_*ker_dim1*chld_cnt],
  1781. (Real_t*)&dnward_check_fft[i* n3 *ker_dim1*chld_cnt]);
  1782. //Compute flops.
  1783. #ifndef FFTW3_MKL
  1784. double add, mul, fma;
  1785. fftw_flops(vlist_ifftplan, &add, &mul, &fma);
  1786. #ifndef __INTEL_OFFLOAD0
  1787. Profile::Add_FLOP((long long)(add+mul+2*fma));
  1788. #endif
  1789. #endif
  1790. // Rearrange downward check data.
  1791. for(size_t k=0;k<n;k++){
  1792. size_t idx=map[k];
  1793. for(int j1=0;j1<dof;j1++)
  1794. for(int j0=0;j0<(int)chld_cnt;j0++)
  1795. for(int i=0;i<ker_dim1;i++)
  1796. buffer[ker_dim1*(n*(dof*j0+j1)+k)+i]=dnward_check_fft[idx+(j1+(i+j0*ker_dim1)*dof)*n3];
  1797. }
  1798. // Compute check to equiv.
  1799. for(size_t j=0;j<chld_cnt;j++){
  1800. Matrix<Real_t> d_check(dof,M.Dim(0),&buffer[n*ker_dim1*dof*j],false);
  1801. Matrix<Real_t> d_equiv(dof,M.Dim(1),&output_data[0] + ifft_vec[node_idx] + M.Dim(1)*dof*j,false);
  1802. Matrix<Real_t>::DGEMM(d_equiv,d_check,M,1.0);
  1803. }
  1804. }
  1805. }
  1806. }
  1807. }
  1808. template <class Real_t>
  1809. void VListHadamard(size_t dof, size_t M_dim, size_t ker_dim0, size_t ker_dim1, Vector<size_t>& interac_dsp,
  1810. Vector<size_t>& interac_vec, Vector<Real_t*>& precomp_mat, Vector<Real_t>& fft_in, Vector<Real_t>& fft_out){
  1811. size_t chld_cnt=1UL<<COORD_DIM;
  1812. size_t fftsize_in =M_dim*ker_dim0*chld_cnt*2;
  1813. size_t fftsize_out=M_dim*ker_dim1*chld_cnt*2;
  1814. Real_t* zero_vec0=mem::aligned_malloc<Real_t>(fftsize_in );
  1815. Real_t* zero_vec1=mem::aligned_malloc<Real_t>(fftsize_out);
  1816. size_t n_out=fft_out.Dim()/fftsize_out;
  1817. // Set buff_out to zero.
  1818. #pragma omp parallel for
  1819. for(size_t k=0;k<n_out;k++){
  1820. Vector<Real_t> dnward_check_fft(fftsize_out, &fft_out[k*fftsize_out], false);
  1821. dnward_check_fft.SetZero();
  1822. }
  1823. // Build list of interaction pairs (in, out vectors).
  1824. size_t mat_cnt=precomp_mat.Dim();
  1825. size_t blk1_cnt=interac_dsp.Dim()/mat_cnt;
  1826. Real_t** IN_ =new Real_t*[2*V_BLK_SIZE*blk1_cnt*mat_cnt];
  1827. Real_t** OUT_=new Real_t*[2*V_BLK_SIZE*blk1_cnt*mat_cnt];
  1828. #pragma omp parallel for
  1829. for(size_t interac_blk1=0; interac_blk1<blk1_cnt*mat_cnt; interac_blk1++){
  1830. size_t interac_dsp0 = (interac_blk1==0?0:interac_dsp[interac_blk1-1]);
  1831. size_t interac_dsp1 = interac_dsp[interac_blk1 ] ;
  1832. size_t interac_cnt = interac_dsp1-interac_dsp0;
  1833. for(size_t j=0;j<interac_cnt;j++){
  1834. IN_ [2*V_BLK_SIZE*interac_blk1 +j]=&fft_in [interac_vec[(interac_dsp0+j)*2+0]];
  1835. OUT_[2*V_BLK_SIZE*interac_blk1 +j]=&fft_out[interac_vec[(interac_dsp0+j)*2+1]];
  1836. }
  1837. IN_ [2*V_BLK_SIZE*interac_blk1 +interac_cnt]=zero_vec0;
  1838. OUT_[2*V_BLK_SIZE*interac_blk1 +interac_cnt]=zero_vec1;
  1839. }
  1840. int omp_p=omp_get_max_threads();
  1841. #pragma omp parallel for
  1842. for(int pid=0; pid<omp_p; pid++){
  1843. size_t a=( pid *M_dim)/omp_p;
  1844. size_t b=((pid+1)*M_dim)/omp_p;
  1845. for(size_t blk1=0; blk1<blk1_cnt; blk1++)
  1846. for(size_t k=a; k< b; k++)
  1847. for(size_t mat_indx=0; mat_indx< mat_cnt;mat_indx++){
  1848. size_t interac_blk1 = blk1*mat_cnt+mat_indx;
  1849. size_t interac_dsp0 = (interac_blk1==0?0:interac_dsp[interac_blk1-1]);
  1850. size_t interac_dsp1 = interac_dsp[interac_blk1 ] ;
  1851. size_t interac_cnt = interac_dsp1-interac_dsp0;
  1852. Real_t** IN = IN_ + 2*V_BLK_SIZE*interac_blk1;
  1853. Real_t** OUT= OUT_+ 2*V_BLK_SIZE*interac_blk1;
  1854. Real_t* M = precomp_mat[mat_indx] + k*chld_cnt*chld_cnt*2;
  1855. #ifdef __SSE__
  1856. if (mat_indx +1 < mat_cnt){ // Prefetch
  1857. _mm_prefetch(((char *)(precomp_mat[mat_indx+1] + k*chld_cnt*chld_cnt*2)), _MM_HINT_T0);
  1858. _mm_prefetch(((char *)(precomp_mat[mat_indx+1] + k*chld_cnt*chld_cnt*2) + 64), _MM_HINT_T0);
  1859. }
  1860. #endif
  1861. for(int in_dim=0;in_dim<ker_dim0;in_dim++)
  1862. for(int ot_dim=0;ot_dim<ker_dim1;ot_dim++){
  1863. for(size_t j=0;j<interac_cnt;j+=2){
  1864. Real_t* M_ = M;
  1865. Real_t* IN0 = IN [j+0] + (in_dim*M_dim+k)*chld_cnt*2;
  1866. Real_t* IN1 = IN [j+1] + (in_dim*M_dim+k)*chld_cnt*2;
  1867. Real_t* OUT0 = OUT[j+0] + (ot_dim*M_dim+k)*chld_cnt*2;
  1868. Real_t* OUT1 = OUT[j+1] + (ot_dim*M_dim+k)*chld_cnt*2;
  1869. #ifdef __SSE__
  1870. if (j+2 < interac_cnt) { // Prefetch
  1871. _mm_prefetch(((char *)(IN[j+2] + (in_dim*M_dim+k)*chld_cnt*2)), _MM_HINT_T0);
  1872. _mm_prefetch(((char *)(IN[j+2] + (in_dim*M_dim+k)*chld_cnt*2) + 64), _MM_HINT_T0);
  1873. _mm_prefetch(((char *)(IN[j+3] + (in_dim*M_dim+k)*chld_cnt*2)), _MM_HINT_T0);
  1874. _mm_prefetch(((char *)(IN[j+3] + (in_dim*M_dim+k)*chld_cnt*2) + 64), _MM_HINT_T0);
  1875. _mm_prefetch(((char *)(OUT[j+2] + (ot_dim*M_dim+k)*chld_cnt*2)), _MM_HINT_T0);
  1876. _mm_prefetch(((char *)(OUT[j+2] + (ot_dim*M_dim+k)*chld_cnt*2) + 64), _MM_HINT_T0);
  1877. _mm_prefetch(((char *)(OUT[j+3] + (ot_dim*M_dim+k)*chld_cnt*2)), _MM_HINT_T0);
  1878. _mm_prefetch(((char *)(OUT[j+3] + (ot_dim*M_dim+k)*chld_cnt*2) + 64), _MM_HINT_T0);
  1879. }
  1880. #endif
  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. #else // Generic code.
  2034. Real_t out_reg000, out_reg001, out_reg010, out_reg011;
  2035. Real_t out_reg100, out_reg101, out_reg110, out_reg111;
  2036. Real_t in_reg000, in_reg001, in_reg010, in_reg011;
  2037. Real_t in_reg100, in_reg101, in_reg110, in_reg111;
  2038. Real_t m_reg000, m_reg001, m_reg010, m_reg011;
  2039. Real_t m_reg100, m_reg101, m_reg110, m_reg111;
  2040. //#pragma unroll
  2041. for(int i1=0;i1<8;i1+=2){
  2042. Real_t* IN0_=IN0;
  2043. Real_t* IN1_=IN1;
  2044. out_reg000=OUT0[ 0]; out_reg001=OUT0[ 1];
  2045. out_reg010=OUT0[ 2]; out_reg011=OUT0[ 3];
  2046. out_reg100=OUT1[ 0]; out_reg101=OUT1[ 1];
  2047. out_reg110=OUT1[ 2]; out_reg111=OUT1[ 3];
  2048. //#pragma unroll
  2049. for(int i2=0;i2<8;i2+=2){
  2050. m_reg000=M_[ 0]; m_reg001=M_[ 1];
  2051. m_reg010=M_[ 2]; m_reg011=M_[ 3];
  2052. m_reg100=M_[16]; m_reg101=M_[17];
  2053. m_reg110=M_[18]; m_reg111=M_[19];
  2054. in_reg000=IN0_[0]; in_reg001=IN0_[1];
  2055. in_reg010=IN0_[2]; in_reg011=IN0_[3];
  2056. in_reg100=IN1_[0]; in_reg101=IN1_[1];
  2057. in_reg110=IN1_[2]; in_reg111=IN1_[3];
  2058. out_reg000 += m_reg000*in_reg000 - m_reg001*in_reg001;
  2059. out_reg001 += m_reg000*in_reg001 + m_reg001*in_reg000;
  2060. out_reg010 += m_reg010*in_reg000 - m_reg011*in_reg001;
  2061. out_reg011 += m_reg010*in_reg001 + m_reg011*in_reg000;
  2062. out_reg000 += m_reg100*in_reg010 - m_reg101*in_reg011;
  2063. out_reg001 += m_reg100*in_reg011 + m_reg101*in_reg010;
  2064. out_reg010 += m_reg110*in_reg010 - m_reg111*in_reg011;
  2065. out_reg011 += m_reg110*in_reg011 + m_reg111*in_reg010;
  2066. out_reg100 += m_reg000*in_reg100 - m_reg001*in_reg101;
  2067. out_reg101 += m_reg000*in_reg101 + m_reg001*in_reg100;
  2068. out_reg110 += m_reg010*in_reg100 - m_reg011*in_reg101;
  2069. out_reg111 += m_reg010*in_reg101 + m_reg011*in_reg100;
  2070. out_reg100 += m_reg100*in_reg110 - m_reg101*in_reg111;
  2071. out_reg101 += m_reg100*in_reg111 + m_reg101*in_reg110;
  2072. out_reg110 += m_reg110*in_reg110 - m_reg111*in_reg111;
  2073. out_reg111 += m_reg110*in_reg111 + m_reg111*in_reg110;
  2074. M_+=32; // Jump to (column+2).
  2075. IN0_+=4;
  2076. IN1_+=4;
  2077. }
  2078. OUT0[ 0]=out_reg000; OUT0[ 1]=out_reg001;
  2079. OUT0[ 2]=out_reg010; OUT0[ 3]=out_reg011;
  2080. OUT1[ 0]=out_reg100; OUT1[ 1]=out_reg101;
  2081. OUT1[ 2]=out_reg110; OUT1[ 3]=out_reg111;
  2082. M_+=4-64*2; // Jump back to first column (row+2).
  2083. OUT0+=4;
  2084. OUT1+=4;
  2085. }
  2086. #endif
  2087. }
  2088. M += M_dim*128;
  2089. }
  2090. }
  2091. }
  2092. // Compute flops.
  2093. {
  2094. Profile::Add_FLOP(8*8*8*(interac_vec.Dim()/2)*M_dim*ker_dim0*ker_dim1*dof);
  2095. }
  2096. // Free memory
  2097. delete[] IN_ ;
  2098. delete[] OUT_;
  2099. mem::aligned_free<Real_t>(zero_vec0);
  2100. mem::aligned_free<Real_t>(zero_vec1);
  2101. }
  2102. template <class FMMNode>
  2103. 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){
  2104. if(level==0) return;
  2105. { // Set setup_data
  2106. setup_data.level=level;
  2107. setup_data.kernel=&aux_kernel;
  2108. setup_data.interac_type.resize(1);
  2109. setup_data.interac_type[0]=V1_Type;
  2110. setup_data. input_data=&buff[0];
  2111. setup_data.output_data=&buff[1];
  2112. Vector<FMMNode_t*>& nodes_in =n_list[2];
  2113. Vector<FMMNode_t*>& nodes_out=n_list[3];
  2114. setup_data.nodes_in .clear();
  2115. setup_data.nodes_out.clear();
  2116. 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]);
  2117. 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]);
  2118. }
  2119. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2120. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2121. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2122. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2123. 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);
  2124. 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);
  2125. /////////////////////////////////////////////////////////////////////////////
  2126. size_t n_in =nodes_in .size();
  2127. size_t n_out=nodes_out.size();
  2128. // Setup precomputed data.
  2129. SetupPrecomp(setup_data,device);
  2130. // Build interac_data
  2131. Profile::Tic("Interac-Data",&this->comm,true,25);
  2132. Matrix<char>& interac_data=setup_data.interac_data;
  2133. if(n_out>0 && n_in >0){ // Build precomp_data, interac_data
  2134. size_t precomp_offset=0;
  2135. Mat_Type& interac_type=setup_data.interac_type[0];
  2136. size_t mat_cnt=this->interac_list.ListCount(interac_type);
  2137. Vector<size_t> precomp_data_offset;
  2138. std::vector<size_t> interac_mat;
  2139. { // Load precomp_data for interac_type.
  2140. Matrix<char>& precomp_data=*setup_data.precomp_data;
  2141. char* indx_ptr=precomp_data[0]+precomp_offset;
  2142. size_t total_size=((size_t*)indx_ptr)[0]; indx_ptr+=sizeof(size_t);
  2143. /*size_t mat_cnt_ =((size_t*)indx_ptr)[0];*/ indx_ptr+=sizeof(size_t);
  2144. precomp_data_offset.ReInit((1+2+2)*mat_cnt, (size_t*)indx_ptr, false);
  2145. precomp_offset+=total_size;
  2146. for(size_t mat_id=0;mat_id<mat_cnt;mat_id++){
  2147. Matrix<Real_t>& M0 = this->mat->Mat(level, interac_type, mat_id);
  2148. assert(M0.Dim(0)>0 && M0.Dim(1)>0); UNUSED(M0);
  2149. interac_mat.push_back(precomp_data_offset[5*mat_id]);
  2150. }
  2151. }
  2152. size_t dof;
  2153. size_t m=MultipoleOrder();
  2154. size_t ker_dim0=setup_data.kernel->ker_dim[0];
  2155. size_t ker_dim1=setup_data.kernel->ker_dim[1];
  2156. size_t fftsize;
  2157. {
  2158. size_t n1=m*2;
  2159. size_t n2=n1*n1;
  2160. size_t n3_=n2*(n1/2+1);
  2161. size_t chld_cnt=1UL<<COORD_DIM;
  2162. fftsize=2*n3_*chld_cnt;
  2163. dof=1;
  2164. }
  2165. int omp_p=omp_get_max_threads();
  2166. size_t buff_size=DEVICE_BUFFER_SIZE*1024l*1024l;
  2167. size_t n_blk0=2*fftsize*dof*(ker_dim0*n_in +ker_dim1*n_out)*sizeof(Real_t)/buff_size;
  2168. if(n_blk0==0) n_blk0=1;
  2169. std::vector<std::vector<size_t> > fft_vec(n_blk0);
  2170. std::vector<std::vector<size_t> > ifft_vec(n_blk0);
  2171. std::vector<std::vector<size_t> > interac_vec(n_blk0);
  2172. std::vector<std::vector<size_t> > interac_dsp(n_blk0);
  2173. {
  2174. Matrix<Real_t>& input_data=*setup_data. input_data;
  2175. Matrix<Real_t>& output_data=*setup_data.output_data;
  2176. std::vector<std::vector<FMMNode*> > nodes_blk_in (n_blk0);
  2177. std::vector<std::vector<FMMNode*> > nodes_blk_out(n_blk0);
  2178. for(size_t i=0;i<n_in;i++) ((FMMNode*)nodes_in[i])->node_id=i;
  2179. for(size_t blk0=0;blk0<n_blk0;blk0++){
  2180. size_t blk0_start=(n_out* blk0 )/n_blk0;
  2181. size_t blk0_end =(n_out*(blk0+1))/n_blk0;
  2182. std::vector<FMMNode*>& nodes_in_ =nodes_blk_in [blk0];
  2183. std::vector<FMMNode*>& nodes_out_=nodes_blk_out[blk0];
  2184. { // Build node list for blk0.
  2185. std::set<void*> nodes_in;
  2186. for(size_t i=blk0_start;i<blk0_end;i++){
  2187. nodes_out_.push_back((FMMNode*)nodes_out[i]);
  2188. std::vector<FMMNode*>& lst=((FMMNode*)nodes_out[i])->interac_list[interac_type];
  2189. for(size_t k=0;k<mat_cnt;k++) if(lst[k]!=NULL) nodes_in.insert(lst[k]);
  2190. }
  2191. for(std::set<void*>::iterator node=nodes_in.begin(); node != nodes_in.end(); node++){
  2192. nodes_in_.push_back((FMMNode*)*node);
  2193. }
  2194. size_t input_dim=nodes_in_ .size()*ker_dim0*dof*fftsize;
  2195. size_t output_dim=nodes_out_.size()*ker_dim1*dof*fftsize;
  2196. size_t buffer_dim=(ker_dim0+ker_dim1)*dof*fftsize*omp_p;
  2197. if(buff_size<(input_dim + output_dim + buffer_dim)*sizeof(Real_t))
  2198. buff_size=(input_dim + output_dim + buffer_dim)*sizeof(Real_t);
  2199. }
  2200. { // Set fft vectors.
  2201. 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]));
  2202. 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]));
  2203. }
  2204. }
  2205. for(size_t blk0=0;blk0<n_blk0;blk0++){ // Hadamard interactions.
  2206. std::vector<FMMNode*>& nodes_in_ =nodes_blk_in [blk0];
  2207. std::vector<FMMNode*>& nodes_out_=nodes_blk_out[blk0];
  2208. for(size_t i=0;i<nodes_in_.size();i++) nodes_in_[i]->node_id=i;
  2209. { // Next blocking level.
  2210. size_t n_blk1=nodes_out_.size()*(ker_dim0+ker_dim1)/V_BLK_SIZE; //64 vectors should fit in L1.
  2211. if(n_blk1==0) n_blk1=1;
  2212. size_t interac_dsp_=0;
  2213. for(size_t blk1=0;blk1<n_blk1;blk1++){
  2214. size_t blk1_start=(nodes_out_.size()* blk1 )/n_blk1;
  2215. size_t blk1_end =(nodes_out_.size()*(blk1+1))/n_blk1;
  2216. for(size_t k=0;k<mat_cnt;k++){
  2217. for(size_t i=blk1_start;i<blk1_end;i++){
  2218. std::vector<FMMNode*>& lst=((FMMNode*)nodes_out_[i])->interac_list[interac_type];
  2219. if(lst[k]!=NULL){
  2220. interac_vec[blk0].push_back(lst[k]->node_id*fftsize*ker_dim0*dof);
  2221. interac_vec[blk0].push_back( i *fftsize*ker_dim1*dof);
  2222. interac_dsp_++;
  2223. }
  2224. }
  2225. interac_dsp[blk0].push_back(interac_dsp_);
  2226. }
  2227. }
  2228. }
  2229. }
  2230. }
  2231. { // Set interac_data.
  2232. size_t data_size=sizeof(size_t)*5; // m, dof, ker_dim0, ker_dim1, n_blk0
  2233. for(size_t blk0=0;blk0<n_blk0;blk0++){
  2234. data_size+=sizeof(size_t)+ fft_vec[blk0].size()*sizeof(size_t);
  2235. data_size+=sizeof(size_t)+ ifft_vec[blk0].size()*sizeof(size_t);
  2236. data_size+=sizeof(size_t)+interac_vec[blk0].size()*sizeof(size_t);
  2237. data_size+=sizeof(size_t)+interac_dsp[blk0].size()*sizeof(size_t);
  2238. }
  2239. data_size+=sizeof(size_t)+interac_mat.size()*sizeof(size_t);
  2240. if(data_size>interac_data.Dim(0)*interac_data.Dim(1))
  2241. interac_data.Resize(1,data_size);
  2242. char* data_ptr=&interac_data[0][0];
  2243. ((size_t*)data_ptr)[0]=buff_size; data_ptr+=sizeof(size_t);
  2244. ((size_t*)data_ptr)[0]= m; data_ptr+=sizeof(size_t);
  2245. ((size_t*)data_ptr)[0]= dof; data_ptr+=sizeof(size_t);
  2246. ((size_t*)data_ptr)[0]= ker_dim0; data_ptr+=sizeof(size_t);
  2247. ((size_t*)data_ptr)[0]= ker_dim1; data_ptr+=sizeof(size_t);
  2248. ((size_t*)data_ptr)[0]= n_blk0; data_ptr+=sizeof(size_t);
  2249. ((size_t*)data_ptr)[0]= interac_mat.size(); data_ptr+=sizeof(size_t);
  2250. mem::memcopy(data_ptr, &interac_mat[0], interac_mat.size()*sizeof(size_t));
  2251. data_ptr+=interac_mat.size()*sizeof(size_t);
  2252. for(size_t blk0=0;blk0<n_blk0;blk0++){
  2253. ((size_t*)data_ptr)[0]= fft_vec[blk0].size(); data_ptr+=sizeof(size_t);
  2254. mem::memcopy(data_ptr, & fft_vec[blk0][0], fft_vec[blk0].size()*sizeof(size_t));
  2255. data_ptr+= fft_vec[blk0].size()*sizeof(size_t);
  2256. ((size_t*)data_ptr)[0]=ifft_vec[blk0].size(); data_ptr+=sizeof(size_t);
  2257. mem::memcopy(data_ptr, &ifft_vec[blk0][0], ifft_vec[blk0].size()*sizeof(size_t));
  2258. data_ptr+=ifft_vec[blk0].size()*sizeof(size_t);
  2259. ((size_t*)data_ptr)[0]=interac_vec[blk0].size(); data_ptr+=sizeof(size_t);
  2260. mem::memcopy(data_ptr, &interac_vec[blk0][0], interac_vec[blk0].size()*sizeof(size_t));
  2261. data_ptr+=interac_vec[blk0].size()*sizeof(size_t);
  2262. ((size_t*)data_ptr)[0]=interac_dsp[blk0].size(); data_ptr+=sizeof(size_t);
  2263. mem::memcopy(data_ptr, &interac_dsp[blk0][0], interac_dsp[blk0].size()*sizeof(size_t));
  2264. data_ptr+=interac_dsp[blk0].size()*sizeof(size_t);
  2265. }
  2266. }
  2267. }
  2268. Profile::Toc();
  2269. Profile::Tic("Host2Device",&this->comm,false,25);
  2270. if(device){ // Host2Device
  2271. setup_data.interac_data. AllocDevice(true);
  2272. }
  2273. Profile::Toc();
  2274. }
  2275. template <class FMMNode>
  2276. void FMM_Pts<FMMNode>::V_List (SetupData<Real_t>& setup_data, bool device){
  2277. assert(!device); //Can not run on accelerator yet.
  2278. if(setup_data.interac_data.Dim(0)==0 || setup_data.interac_data.Dim(1)==0){
  2279. Profile::Tic("Host2Device",&this->comm,false,25);
  2280. Profile::Toc();
  2281. Profile::Tic("FFT",&comm,false,100);
  2282. Profile::Toc();
  2283. Profile::Tic("HadamardProduct",&comm,false,100);
  2284. Profile::Toc();
  2285. Profile::Tic("IFFT",&comm,false,100);
  2286. Profile::Toc();
  2287. return;
  2288. }
  2289. Profile::Tic("Host2Device",&this->comm,false,25);
  2290. int level=setup_data.level;
  2291. size_t buff_size=*((size_t*)&setup_data.interac_data[0][0]);
  2292. typename Matrix<Real_t>::Device M_d;
  2293. typename Vector<char>::Device buff;
  2294. typename Matrix<char>::Device precomp_data;
  2295. typename Matrix<char>::Device interac_data;
  2296. typename Matrix<Real_t>::Device input_data;
  2297. typename Matrix<Real_t>::Device output_data;
  2298. Matrix<Real_t>& M = this->mat->Mat(level, DC2DE_Type, 0);
  2299. if(device){
  2300. if(this->dev_buffer.Dim()<buff_size) this->dev_buffer.Resize(buff_size);
  2301. M_d = M. AllocDevice(false);
  2302. buff = this-> dev_buffer. AllocDevice(false);
  2303. precomp_data= setup_data.precomp_data->AllocDevice(false);
  2304. interac_data= setup_data.interac_data. AllocDevice(false);
  2305. input_data = setup_data. input_data->AllocDevice(false);
  2306. output_data = setup_data. output_data->AllocDevice(false);
  2307. }else{
  2308. if(this->cpu_buffer.Dim()<buff_size) this->cpu_buffer.Resize(buff_size);
  2309. M_d = M;
  2310. buff = this-> cpu_buffer;
  2311. precomp_data=*setup_data.precomp_data;
  2312. interac_data= setup_data.interac_data;
  2313. input_data =*setup_data. input_data;
  2314. output_data =*setup_data. output_data;
  2315. }
  2316. Profile::Toc();
  2317. { // Offloaded computation.
  2318. // Set interac_data.
  2319. size_t m, dof, ker_dim0, ker_dim1, n_blk0;
  2320. std::vector<Vector<size_t> > fft_vec;
  2321. std::vector<Vector<size_t> > ifft_vec;
  2322. std::vector<Vector<size_t> > interac_vec;
  2323. std::vector<Vector<size_t> > interac_dsp;
  2324. Vector<Real_t*> precomp_mat;
  2325. { // Set interac_data.
  2326. char* data_ptr=&interac_data[0][0];
  2327. buff_size=((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2328. m =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2329. dof =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2330. ker_dim0 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2331. ker_dim1 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2332. n_blk0 =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2333. fft_vec .resize(n_blk0);
  2334. ifft_vec.resize(n_blk0);
  2335. interac_vec.resize(n_blk0);
  2336. interac_dsp.resize(n_blk0);
  2337. Vector<size_t> interac_mat;
  2338. interac_mat.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2339. data_ptr+=sizeof(size_t)+interac_mat.Dim()*sizeof(size_t);
  2340. precomp_mat.Resize(interac_mat.Dim());
  2341. for(size_t i=0;i<interac_mat.Dim();i++){
  2342. precomp_mat[i]=(Real_t*)(precomp_data[0]+interac_mat[i]);
  2343. }
  2344. for(size_t blk0=0;blk0<n_blk0;blk0++){
  2345. fft_vec[blk0].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2346. data_ptr+=sizeof(size_t)+fft_vec[blk0].Dim()*sizeof(size_t);
  2347. ifft_vec[blk0].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2348. data_ptr+=sizeof(size_t)+ifft_vec[blk0].Dim()*sizeof(size_t);
  2349. interac_vec[blk0].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2350. data_ptr+=sizeof(size_t)+interac_vec[blk0].Dim()*sizeof(size_t);
  2351. interac_dsp[blk0].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2352. data_ptr+=sizeof(size_t)+interac_dsp[blk0].Dim()*sizeof(size_t);
  2353. }
  2354. }
  2355. int omp_p=omp_get_max_threads();
  2356. size_t M_dim, fftsize;
  2357. {
  2358. size_t n1=m*2;
  2359. size_t n2=n1*n1;
  2360. size_t n3_=n2*(n1/2+1);
  2361. size_t chld_cnt=1UL<<COORD_DIM;
  2362. fftsize=2*n3_*chld_cnt;
  2363. M_dim=n3_;
  2364. }
  2365. for(size_t blk0=0;blk0<n_blk0;blk0++){ // interactions
  2366. size_t n_in = fft_vec[blk0].Dim();
  2367. size_t n_out=ifft_vec[blk0].Dim();
  2368. size_t input_dim=n_in *ker_dim0*dof*fftsize;
  2369. size_t output_dim=n_out*ker_dim1*dof*fftsize;
  2370. size_t buffer_dim=(ker_dim0+ker_dim1)*dof*fftsize*omp_p;
  2371. Vector<Real_t> fft_in ( input_dim, (Real_t*)&buff[ 0 ],false);
  2372. Vector<Real_t> fft_out(output_dim, (Real_t*)&buff[ input_dim *sizeof(Real_t)],false);
  2373. Vector<Real_t> buffer(buffer_dim, (Real_t*)&buff[(input_dim+output_dim)*sizeof(Real_t)],false);
  2374. { // FFT
  2375. Profile::Tic("FFT",&comm,false,100);
  2376. Vector<Real_t> input_data_( input_data.dim[0]* input_data.dim[1], input_data[0], false);
  2377. FFT_UpEquiv(dof, m, ker_dim0, fft_vec[blk0], input_data_, fft_in, buffer);
  2378. Profile::Toc();
  2379. }
  2380. { // Hadamard
  2381. #ifdef PVFMM_HAVE_PAPI
  2382. #ifdef __VERBOSE__
  2383. std::cout << "Starting counters new\n";
  2384. if (PAPI_start(EventSet) != PAPI_OK) std::cout << "handle_error3" << std::endl;
  2385. #endif
  2386. #endif
  2387. Profile::Tic("HadamardProduct",&comm,false,100);
  2388. VListHadamard<Real_t>(dof, M_dim, ker_dim0, ker_dim1, interac_dsp[blk0], interac_vec[blk0], precomp_mat, fft_in, fft_out);
  2389. Profile::Toc();
  2390. #ifdef PVFMM_HAVE_PAPI
  2391. #ifdef __VERBOSE__
  2392. if (PAPI_stop(EventSet, values) != PAPI_OK) std::cout << "handle_error4" << std::endl;
  2393. std::cout << "Stopping counters\n";
  2394. #endif
  2395. #endif
  2396. }
  2397. { // IFFT
  2398. Profile::Tic("IFFT",&comm,false,100);
  2399. Matrix<Real_t> M(M_d.dim[0],M_d.dim[1],M_d[0],false);
  2400. Vector<Real_t> output_data_(output_data.dim[0]*output_data.dim[1], output_data[0], false);
  2401. FFT_Check2Equiv(dof, m, ker_dim1, ifft_vec[blk0], fft_out, output_data_, buffer, M);
  2402. Profile::Toc();
  2403. }
  2404. }
  2405. }
  2406. }
  2407. template <class FMMNode>
  2408. 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){
  2409. { // Set setup_data
  2410. setup_data.level=level;
  2411. setup_data.kernel=&aux_kernel;
  2412. setup_data.interac_type.resize(1);
  2413. setup_data.interac_type[0]=D2D_Type;
  2414. setup_data. input_data=&buff[1];
  2415. setup_data.output_data=&buff[1];
  2416. Vector<FMMNode_t*>& nodes_in =n_list[1];
  2417. Vector<FMMNode_t*>& nodes_out=n_list[1];
  2418. setup_data.nodes_in .clear();
  2419. setup_data.nodes_out.clear();
  2420. 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]);
  2421. 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]);
  2422. }
  2423. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2424. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2425. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2426. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2427. for(size_t i=0;i<nodes_in .size();i++) input_vector.push_back(&((FMMData*)((FMMNode*)nodes_in [i])->FMMData())->dnward_equiv);
  2428. for(size_t i=0;i<nodes_out.size();i++) output_vector.push_back(&((FMMData*)((FMMNode*)nodes_out[i])->FMMData())->dnward_equiv);
  2429. SetupInterac(setup_data,device);
  2430. }
  2431. template <class FMMNode>
  2432. void FMM_Pts<FMMNode>::Down2Down (SetupData<Real_t>& setup_data, bool device){
  2433. //Add Down2Down contribution.
  2434. EvalList(setup_data, device);
  2435. }
  2436. template <class FMMNode>
  2437. void FMM_Pts<FMMNode>::SetupInteracPts(SetupData<Real_t>& setup_data, bool shift_src, bool shift_trg, Matrix<Real_t>* M, bool device){
  2438. int level=setup_data.level;
  2439. std::vector<Mat_Type>& interac_type_lst=setup_data.interac_type;
  2440. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2441. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2442. Matrix<Real_t>& output_data=*setup_data.output_data;
  2443. Matrix<Real_t>& input_data=*setup_data. input_data;
  2444. Matrix<Real_t>& coord_data=*setup_data. coord_data;
  2445. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector;
  2446. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector;
  2447. size_t n_in =nodes_in .size();
  2448. size_t n_out=nodes_out.size();
  2449. //setup_data.precomp_data=NULL;
  2450. // Build interac_data
  2451. Profile::Tic("Interac-Data",&this->comm,true,25);
  2452. Matrix<char>& interac_data=setup_data.interac_data;
  2453. if(n_out>0 && n_in >0){
  2454. size_t ker_dim0=setup_data.kernel->ker_dim[0];
  2455. size_t ker_dim1=setup_data.kernel->ker_dim[1];
  2456. size_t dof=1;
  2457. for(size_t i=0;i<n_in ;i++) ((FMMNode*)nodes_in [i])->node_id=i;
  2458. std::vector<size_t> trg_interac_cnt(n_out,0);
  2459. std::vector<size_t> trg_coord(n_out);
  2460. std::vector<size_t> trg_value(n_out);
  2461. std::vector<size_t> trg_cnt(n_out);
  2462. std::vector<Real_t> scaling(n_out,0);
  2463. { // Set trg data
  2464. Mat_Type& interac_type=interac_type_lst[0];
  2465. for(size_t i=0;i<n_out;i++){
  2466. if(!((FMMNode*)nodes_out[i])->IsGhost() && (level==-1 || ((FMMNode*)nodes_out[i])->Depth()==level)){
  2467. trg_cnt [i]=output_vector[i*2+0]->Dim()/COORD_DIM;
  2468. trg_coord[i]=(size_t)(&output_vector[i*2+0][0][0]- coord_data[0]);
  2469. trg_value[i]=(size_t)(&output_vector[i*2+1][0][0]-output_data[0]);
  2470. if(!this->Homogen()) scaling[i]=1.0;
  2471. else if(interac_type==S2U_Type) scaling[i]=pow(0.5, setup_data.kernel->poten_scale *((FMMNode*)nodes_out[i])->Depth());
  2472. else if(interac_type== X_Type) scaling[i]=pow(0.5, setup_data.kernel->poten_scale *((FMMNode*)nodes_out[i])->Depth());
  2473. }
  2474. }
  2475. }
  2476. std::vector<std::vector<size_t> > src_cnt(n_out);
  2477. std::vector<std::vector<size_t> > src_coord(n_out);
  2478. std::vector<std::vector<size_t> > src_value(n_out);
  2479. std::vector<std::vector<Real_t> > shift_coord(n_out);
  2480. for(size_t type_indx=0; type_indx<interac_type_lst.size(); type_indx++){
  2481. Mat_Type& interac_type=interac_type_lst[type_indx];
  2482. size_t mat_cnt=this->interac_list.ListCount(interac_type);
  2483. for(size_t i=0;i<n_out;i++){ // For each target node.
  2484. if(!((FMMNode*)nodes_out[i])->IsGhost() && (level==-1 || ((FMMNode*)nodes_out[i])->Depth()==level)){
  2485. std::vector<FMMNode*>& lst=((FMMNode*)nodes_out[i])->interac_list[interac_type];
  2486. for(size_t mat_indx=0;mat_indx<mat_cnt;mat_indx++) if(lst[mat_indx]!=NULL){ // For each direction.
  2487. size_t j=lst[mat_indx]->node_id;
  2488. if(input_vector[j*4+0]->Dim()>0 || input_vector[j*4+2]->Dim()>0){
  2489. trg_interac_cnt[i]++;
  2490. { // Determine shift for periodic boundary condition
  2491. Real_t* sc=lst[mat_indx]->Coord();
  2492. Real_t* tc=((FMMNode*)nodes_out[i])->Coord();
  2493. int* rel_coord=this->interac_list.RelativeCoord(interac_type, mat_indx);
  2494. shift_coord[i].push_back((tc[0]>sc[0] && rel_coord[0]>0? 1.0:
  2495. (tc[0]<sc[0] && rel_coord[0]<0?-1.0:0.0)) +
  2496. (shift_src?sc[0]:0) - (shift_trg?tc[0]:0) );
  2497. shift_coord[i].push_back((tc[1]>sc[1] && rel_coord[1]>0? 1.0:
  2498. (tc[1]<sc[1] && rel_coord[1]<0?-1.0:0.0)) +
  2499. (shift_src?sc[1]:0) - (shift_trg?tc[1]:0) );
  2500. shift_coord[i].push_back((tc[2]>sc[2] && rel_coord[2]>0? 1.0:
  2501. (tc[2]<sc[2] && rel_coord[2]<0?-1.0:0.0)) +
  2502. (shift_src?sc[2]:0) - (shift_trg?tc[2]:0) );
  2503. }
  2504. { // Set src data
  2505. if(input_vector[j*4+0]!=NULL){
  2506. src_cnt [i].push_back(input_vector[j*4+0]->Dim()/COORD_DIM);
  2507. src_coord[i].push_back((size_t)(& input_vector[j*4+0][0][0]- coord_data[0]));
  2508. src_value[i].push_back((size_t)(& input_vector[j*4+1][0][0]- input_data[0]));
  2509. }else{
  2510. src_cnt [i].push_back(0);
  2511. src_coord[i].push_back(0);
  2512. src_value[i].push_back(0);
  2513. }
  2514. if(input_vector[j*4+2]!=NULL){
  2515. src_cnt [i].push_back(input_vector[j*4+2]->Dim()/COORD_DIM);
  2516. src_coord[i].push_back((size_t)(& input_vector[j*4+2][0][0]- coord_data[0]));
  2517. src_value[i].push_back((size_t)(& input_vector[j*4+3][0][0]- input_data[0]));
  2518. }else{
  2519. src_cnt [i].push_back(0);
  2520. src_coord[i].push_back(0);
  2521. src_value[i].push_back(0);
  2522. }
  2523. }
  2524. }
  2525. }
  2526. }
  2527. }
  2528. }
  2529. { // Set interac_data.
  2530. size_t data_size=sizeof(size_t)*4;
  2531. data_size+=sizeof(size_t)+trg_interac_cnt.size()*sizeof(size_t);
  2532. data_size+=sizeof(size_t)+trg_coord.size()*sizeof(size_t);
  2533. data_size+=sizeof(size_t)+trg_value.size()*sizeof(size_t);
  2534. data_size+=sizeof(size_t)+trg_cnt .size()*sizeof(size_t);
  2535. data_size+=sizeof(size_t)+scaling .size()*sizeof(Real_t);
  2536. data_size+=sizeof(size_t)*2+(M!=NULL?M->Dim(0)*M->Dim(1)*sizeof(Real_t):0);
  2537. for(size_t i=0;i<n_out;i++){
  2538. data_size+=sizeof(size_t)+src_cnt [i].size()*sizeof(size_t);
  2539. data_size+=sizeof(size_t)+src_coord[i].size()*sizeof(size_t);
  2540. data_size+=sizeof(size_t)+src_value[i].size()*sizeof(size_t);
  2541. data_size+=sizeof(size_t)+shift_coord[i].size()*sizeof(Real_t);
  2542. }
  2543. if(data_size>interac_data.Dim(0)*interac_data.Dim(1))
  2544. interac_data.Resize(1,data_size);
  2545. char* data_ptr=&interac_data[0][0];
  2546. ((size_t*)data_ptr)[0]=data_size; data_ptr+=sizeof(size_t);
  2547. ((size_t*)data_ptr)[0]= ker_dim0; data_ptr+=sizeof(size_t);
  2548. ((size_t*)data_ptr)[0]= ker_dim1; data_ptr+=sizeof(size_t);
  2549. ((size_t*)data_ptr)[0]= dof; data_ptr+=sizeof(size_t);
  2550. ((size_t*)data_ptr)[0]=trg_interac_cnt.size(); data_ptr+=sizeof(size_t);
  2551. mem::memcopy(data_ptr, &trg_interac_cnt[0], trg_interac_cnt.size()*sizeof(size_t));
  2552. data_ptr+=trg_interac_cnt.size()*sizeof(size_t);
  2553. ((size_t*)data_ptr)[0]=trg_coord.size(); data_ptr+=sizeof(size_t);
  2554. mem::memcopy(data_ptr, &trg_coord[0], trg_coord.size()*sizeof(size_t));
  2555. data_ptr+=trg_coord.size()*sizeof(size_t);
  2556. ((size_t*)data_ptr)[0]=trg_value.size(); data_ptr+=sizeof(size_t);
  2557. mem::memcopy(data_ptr, &trg_value[0], trg_value.size()*sizeof(size_t));
  2558. data_ptr+=trg_value.size()*sizeof(size_t);
  2559. ((size_t*)data_ptr)[0]=trg_cnt.size(); data_ptr+=sizeof(size_t);
  2560. mem::memcopy(data_ptr, &trg_cnt[0], trg_cnt.size()*sizeof(size_t));
  2561. data_ptr+=trg_cnt.size()*sizeof(size_t);
  2562. ((size_t*)data_ptr)[0]=scaling.size(); data_ptr+=sizeof(size_t);
  2563. mem::memcopy(data_ptr, &scaling[0], scaling.size()*sizeof(Real_t));
  2564. data_ptr+=scaling.size()*sizeof(Real_t);
  2565. if(M!=NULL){
  2566. ((size_t*)data_ptr)[0]=M->Dim(0); data_ptr+=sizeof(size_t);
  2567. ((size_t*)data_ptr)[0]=M->Dim(1); data_ptr+=sizeof(size_t);
  2568. mem::memcopy(data_ptr, M[0][0], M->Dim(0)*M->Dim(1)*sizeof(Real_t));
  2569. data_ptr+=M->Dim(0)*M->Dim(1)*sizeof(Real_t);
  2570. }else{
  2571. ((size_t*)data_ptr)[0]=0; data_ptr+=sizeof(size_t);
  2572. ((size_t*)data_ptr)[0]=0; data_ptr+=sizeof(size_t);
  2573. }
  2574. for(size_t i=0;i<n_out;i++){
  2575. ((size_t*)data_ptr)[0]=src_cnt[i].size(); data_ptr+=sizeof(size_t);
  2576. mem::memcopy(data_ptr, &src_cnt[i][0], src_cnt[i].size()*sizeof(size_t));
  2577. data_ptr+=src_cnt[i].size()*sizeof(size_t);
  2578. ((size_t*)data_ptr)[0]=src_coord[i].size(); data_ptr+=sizeof(size_t);
  2579. mem::memcopy(data_ptr, &src_coord[i][0], src_coord[i].size()*sizeof(size_t));
  2580. data_ptr+=src_coord[i].size()*sizeof(size_t);
  2581. ((size_t*)data_ptr)[0]=src_value[i].size(); data_ptr+=sizeof(size_t);
  2582. mem::memcopy(data_ptr, &src_value[i][0], src_value[i].size()*sizeof(size_t));
  2583. data_ptr+=src_value[i].size()*sizeof(size_t);
  2584. ((size_t*)data_ptr)[0]=shift_coord[i].size(); data_ptr+=sizeof(size_t);
  2585. mem::memcopy(data_ptr, &shift_coord[i][0], shift_coord[i].size()*sizeof(Real_t));
  2586. data_ptr+=shift_coord[i].size()*sizeof(Real_t);
  2587. }
  2588. }
  2589. size_t buff_size=DEVICE_BUFFER_SIZE*1024l*1024l;
  2590. if(this->dev_buffer.Dim()<buff_size) this->dev_buffer.Resize(buff_size);
  2591. if(this->cpu_buffer.Dim()<buff_size) this->cpu_buffer.Resize(buff_size);
  2592. }
  2593. Profile::Toc();
  2594. Profile::Tic("Host2Device",&this->comm,false,25);
  2595. if(device){ // Host2Device
  2596. setup_data.interac_data .AllocDevice(true);
  2597. }
  2598. Profile::Toc();
  2599. }
  2600. template <class FMMNode>
  2601. void FMM_Pts<FMMNode>::EvalListPts(SetupData<Real_t>& setup_data, bool device){
  2602. if(setup_data.interac_data.Dim(0)==0 || setup_data.interac_data.Dim(1)==0){
  2603. Profile::Tic("Host2Device",&this->comm,false,25);
  2604. Profile::Toc();
  2605. Profile::Tic("DeviceComp",&this->comm,false,20);
  2606. Profile::Toc();
  2607. return;
  2608. }
  2609. Profile::Tic("Host2Device",&this->comm,false,25);
  2610. typename Vector<char>::Device buff;
  2611. //typename Matrix<char>::Device precomp_data;
  2612. typename Matrix<char>::Device interac_data;
  2613. typename Matrix<Real_t>::Device coord_data;
  2614. typename Matrix<Real_t>::Device input_data;
  2615. typename Matrix<Real_t>::Device output_data;
  2616. if(device){
  2617. buff = this-> dev_buffer. AllocDevice(false);
  2618. interac_data= setup_data.interac_data. AllocDevice(false);
  2619. //if(setup_data.precomp_data!=NULL) precomp_data= setup_data.precomp_data->AllocDevice(false);
  2620. if(setup_data. coord_data!=NULL) coord_data = setup_data. coord_data->AllocDevice(false);
  2621. if(setup_data. input_data!=NULL) input_data = setup_data. input_data->AllocDevice(false);
  2622. if(setup_data. output_data!=NULL) output_data = setup_data. output_data->AllocDevice(false);
  2623. }else{
  2624. buff = this-> cpu_buffer;
  2625. interac_data= setup_data.interac_data;
  2626. //if(setup_data.precomp_data!=NULL) precomp_data=*setup_data.precomp_data;
  2627. if(setup_data. coord_data!=NULL) coord_data =*setup_data. coord_data;
  2628. if(setup_data. input_data!=NULL) input_data =*setup_data. input_data;
  2629. if(setup_data. output_data!=NULL) output_data =*setup_data. output_data;
  2630. }
  2631. Profile::Toc();
  2632. size_t ptr_single_layer_kernel=(size_t)setup_data.kernel->ker_poten;
  2633. size_t ptr_double_layer_kernel=(size_t)setup_data.kernel->dbl_layer_poten;
  2634. Profile::Tic("DeviceComp",&this->comm,false,20);
  2635. #ifdef __INTEL_OFFLOAD
  2636. int lock_idx=-1;
  2637. int wait_lock_idx=-1;
  2638. if(device) wait_lock_idx=MIC_Lock::curr_lock();
  2639. if(device) lock_idx=MIC_Lock::get_lock();
  2640. if(device) ptr_single_layer_kernel=setup_data.kernel->dev_ker_poten;
  2641. if(device) ptr_double_layer_kernel=setup_data.kernel->dev_dbl_layer_poten;
  2642. #pragma offload if(device) target(mic:0) signal(&MIC_Lock::lock_vec[device?lock_idx:0])
  2643. #endif
  2644. { // Offloaded computation.
  2645. // Set interac_data.
  2646. //size_t data_size;
  2647. //size_t ker_dim0;
  2648. size_t ker_dim1;
  2649. size_t dof, n_out;
  2650. Vector<size_t> trg_interac_cnt;
  2651. Vector<size_t> trg_coord;
  2652. Vector<size_t> trg_value;
  2653. Vector<size_t> trg_cnt;
  2654. Vector<Real_t> scaling;
  2655. Matrix<Real_t> M;
  2656. Vector< Vector<size_t> > src_cnt;
  2657. Vector< Vector<size_t> > src_coord;
  2658. Vector< Vector<size_t> > src_value;
  2659. Vector< Vector<Real_t> > shift_coord;
  2660. { // Set interac_data.
  2661. char* data_ptr=&interac_data[0][0];
  2662. /*data_size=((size_t*)data_ptr)[0];*/ data_ptr+=sizeof(size_t);
  2663. /*ker_dim0=((size_t*)data_ptr)[0];*/ data_ptr+=sizeof(size_t);
  2664. ker_dim1=((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2665. dof =((size_t*)data_ptr)[0]; data_ptr+=sizeof(size_t);
  2666. trg_interac_cnt.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2667. data_ptr+=sizeof(size_t)+trg_interac_cnt.Dim()*sizeof(size_t);
  2668. n_out=trg_interac_cnt.Dim();
  2669. trg_coord.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2670. data_ptr+=sizeof(size_t)+trg_coord.Dim()*sizeof(size_t);
  2671. trg_value.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2672. data_ptr+=sizeof(size_t)+trg_value.Dim()*sizeof(size_t);
  2673. trg_cnt.ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2674. data_ptr+=sizeof(size_t)+trg_cnt.Dim()*sizeof(size_t);
  2675. scaling.ReInit(((size_t*)data_ptr)[0],(Real_t*)(data_ptr+sizeof(size_t)),false);
  2676. data_ptr+=sizeof(size_t)+scaling.Dim()*sizeof(Real_t);
  2677. M.ReInit(((size_t*)data_ptr)[0],((size_t*)data_ptr)[1],(Real_t*)(data_ptr+2*sizeof(size_t)),false);
  2678. data_ptr+=sizeof(size_t)*2+M.Dim(0)*M.Dim(1)*sizeof(Real_t);
  2679. src_cnt.Resize(n_out);
  2680. src_coord.Resize(n_out);
  2681. src_value.Resize(n_out);
  2682. shift_coord.Resize(n_out);
  2683. for(size_t i=0;i<n_out;i++){
  2684. src_cnt[i].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2685. data_ptr+=sizeof(size_t)+src_cnt[i].Dim()*sizeof(size_t);
  2686. src_coord[i].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2687. data_ptr+=sizeof(size_t)+src_coord[i].Dim()*sizeof(size_t);
  2688. src_value[i].ReInit(((size_t*)data_ptr)[0],(size_t*)(data_ptr+sizeof(size_t)),false);
  2689. data_ptr+=sizeof(size_t)+src_value[i].Dim()*sizeof(size_t);
  2690. shift_coord[i].ReInit(((size_t*)data_ptr)[0],(Real_t*)(data_ptr+sizeof(size_t)),false);
  2691. data_ptr+=sizeof(size_t)+shift_coord[i].Dim()*sizeof(Real_t);
  2692. }
  2693. }
  2694. #ifdef __INTEL_OFFLOAD
  2695. if(device) MIC_Lock::wait_lock(wait_lock_idx);
  2696. #endif
  2697. //Compute interaction from point sources.
  2698. { // interactions
  2699. typename Kernel<Real_t>::Ker_t single_layer_kernel=(typename Kernel<Real_t>::Ker_t)ptr_single_layer_kernel;
  2700. typename Kernel<Real_t>::Ker_t double_layer_kernel=(typename Kernel<Real_t>::Ker_t)ptr_double_layer_kernel;
  2701. int omp_p=omp_get_max_threads();
  2702. Vector<Real_t*> thread_buff(omp_p);
  2703. size_t thread_buff_size=buff.dim/sizeof(Real_t)/omp_p;
  2704. for(int i=0;i<omp_p;i++) thread_buff[i]=(Real_t*)&buff[i*thread_buff_size*sizeof(Real_t)];
  2705. #pragma omp parallel for
  2706. for(size_t i=0;i<n_out;i++)
  2707. if(trg_interac_cnt[i]>0 && trg_cnt[i]>0){
  2708. int thread_id=omp_get_thread_num();
  2709. Real_t* s_coord=thread_buff[thread_id];
  2710. Real_t* t_value=output_data[0]+trg_value[i];
  2711. if(M.Dim(0)>0 && M.Dim(1)>0){
  2712. s_coord+=dof*M.Dim(0);
  2713. t_value=thread_buff[thread_id];
  2714. for(size_t j=0;j<dof*M.Dim(0);j++) t_value[j]=0;
  2715. }
  2716. size_t interac_cnt=0;
  2717. for(size_t j=0;j<trg_interac_cnt[i];j++){
  2718. if(ptr_single_layer_kernel!=(size_t)NULL){// Single layer kernel
  2719. Real_t* src_coord_=coord_data[0]+src_coord[i][2*j+0];
  2720. assert(thread_buff_size>=dof*M.Dim(0)+src_cnt[i][2*j+0]*COORD_DIM);
  2721. for(size_t k1=0;k1<src_cnt[i][2*j+0];k1++){ // Compute shifted source coordinates.
  2722. for(size_t k0=0;k0<COORD_DIM;k0++){
  2723. s_coord[k1*COORD_DIM+k0]=src_coord_[k1*COORD_DIM+k0]+shift_coord[i][j*COORD_DIM+k0];
  2724. }
  2725. }
  2726. single_layer_kernel( s_coord , src_cnt[i][2*j+0], input_data[0]+src_value[i][2*j+0], dof,
  2727. coord_data[0]+trg_coord[i], trg_cnt[i] , t_value);
  2728. interac_cnt+=src_cnt[i][2*j+0]*trg_cnt[i];
  2729. }
  2730. if(ptr_double_layer_kernel!=(size_t)NULL){// Double layer kernel
  2731. Real_t* src_coord_=coord_data[0]+src_coord[i][2*j+1];
  2732. assert(thread_buff_size>=dof*M.Dim(0)+src_cnt[i][2*j+1]*COORD_DIM);
  2733. for(size_t k1=0;k1<src_cnt[i][2*j+1];k1++){ // Compute shifted source coordinates.
  2734. for(size_t k0=0;k0<COORD_DIM;k0++){
  2735. s_coord[k1*COORD_DIM+k0]=src_coord_[k1*COORD_DIM+k0]+shift_coord[i][j*COORD_DIM+k0];
  2736. }
  2737. }
  2738. double_layer_kernel( s_coord , src_cnt[i][2*j+1], input_data[0]+src_value[i][2*j+1], dof,
  2739. coord_data[0]+trg_coord[i], trg_cnt[i] , t_value);
  2740. interac_cnt+=src_cnt[i][2*j+1]*trg_cnt[i];
  2741. }
  2742. }
  2743. if(M.Dim(0)>0 && M.Dim(1)>0 && interac_cnt>0){
  2744. assert(trg_cnt[i]*ker_dim1==M.Dim(0)); UNUSED(ker_dim1);
  2745. for(size_t j=0;j<dof*M.Dim(0);j++) t_value[j]*=scaling[i];
  2746. Matrix<Real_t> in_vec(dof, M.Dim(0), t_value , false);
  2747. Matrix<Real_t> out_vec(dof, M.Dim(1), output_data[0]+trg_value[i], false);
  2748. Matrix<Real_t>::DGEMM(out_vec, in_vec, M, 1.0);
  2749. }
  2750. }
  2751. }
  2752. #ifdef __INTEL_OFFLOAD
  2753. if(device) MIC_Lock::release_lock(lock_idx);
  2754. #endif
  2755. }
  2756. #ifndef __MIC_ASYNCH__
  2757. #ifdef __INTEL_OFFLOAD
  2758. #pragma offload if(device) target(mic:0)
  2759. {if(device) MIC_Lock::wait_lock(lock_idx);}
  2760. #endif
  2761. #endif
  2762. Profile::Toc();
  2763. }
  2764. template <class FMMNode>
  2765. 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){
  2766. { // Set setup_data
  2767. setup_data.level=level;
  2768. setup_data.kernel=&aux_kernel;
  2769. setup_data.interac_type.resize(1);
  2770. setup_data.interac_type[0]=X_Type;
  2771. setup_data. input_data=&buff[4];
  2772. setup_data.output_data=&buff[1];
  2773. setup_data. coord_data=&buff[6];
  2774. Vector<FMMNode_t*>& nodes_in =n_list[4];
  2775. Vector<FMMNode_t*>& nodes_out=n_list[1];
  2776. setup_data.nodes_in .clear();
  2777. setup_data.nodes_out.clear();
  2778. 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]);
  2779. 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]);
  2780. }
  2781. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2782. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2783. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2784. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2785. for(size_t i=0;i<nodes_in .size();i++){
  2786. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_coord);
  2787. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_value);
  2788. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_coord);
  2789. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_value);
  2790. }
  2791. for(size_t i=0;i<nodes_out.size();i++){
  2792. output_vector.push_back(&dnwd_check_surf[((FMMNode*)nodes_out[i])->Depth()]);
  2793. output_vector.push_back(&((FMMData*)((FMMNode*)nodes_out[i])->FMMData())->dnward_equiv);
  2794. }
  2795. //Downward check to downward equivalent matrix.
  2796. Matrix<Real_t>& M_dc2de = this->mat->Mat(level, DC2DE_Type, 0);
  2797. this->SetupInteracPts(setup_data, false, true, &M_dc2de,device);
  2798. { // Resize device buffer
  2799. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  2800. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  2801. }
  2802. }
  2803. template <class FMMNode>
  2804. void FMM_Pts<FMMNode>::X_List (SetupData<Real_t>& setup_data, bool device){
  2805. //Add X_List contribution.
  2806. this->EvalListPts(setup_data, device);
  2807. }
  2808. template <class FMMNode>
  2809. 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){
  2810. { // Set setup_data
  2811. setup_data.level=level;
  2812. setup_data.kernel=&kernel;
  2813. setup_data.interac_type.resize(1);
  2814. setup_data.interac_type[0]=W_Type;
  2815. setup_data. input_data=&buff[0];
  2816. setup_data.output_data=&buff[5];
  2817. setup_data. coord_data=&buff[6];
  2818. Vector<FMMNode_t*>& nodes_in =n_list[0];
  2819. Vector<FMMNode_t*>& nodes_out=n_list[5];
  2820. setup_data.nodes_in .clear();
  2821. setup_data.nodes_out.clear();
  2822. 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]);
  2823. 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]);
  2824. }
  2825. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2826. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2827. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2828. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2829. for(size_t i=0;i<nodes_in .size();i++){
  2830. input_vector .push_back(&upwd_equiv_surf[((FMMNode*)nodes_in [i])->Depth()]);
  2831. input_vector .push_back(&((FMMData*)((FMMNode*)nodes_in [i])->FMMData())->upward_equiv);
  2832. input_vector .push_back(NULL);
  2833. input_vector .push_back(NULL);
  2834. }
  2835. for(size_t i=0;i<nodes_out.size();i++){
  2836. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_coord);
  2837. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_value);
  2838. }
  2839. this->SetupInteracPts(setup_data, true, false, NULL, device);
  2840. { // Resize device buffer
  2841. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  2842. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  2843. }
  2844. }
  2845. template <class FMMNode>
  2846. void FMM_Pts<FMMNode>::W_List (SetupData<Real_t>& setup_data, bool device){
  2847. //Add W_List contribution.
  2848. this->EvalListPts(setup_data, device);
  2849. }
  2850. template <class FMMNode>
  2851. 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){
  2852. { // Set setup_data
  2853. setup_data.level=level;
  2854. setup_data.kernel=&kernel;
  2855. setup_data.interac_type.resize(3);
  2856. setup_data.interac_type[0]=U0_Type;
  2857. setup_data.interac_type[1]=U1_Type;
  2858. setup_data.interac_type[2]=U2_Type;
  2859. setup_data. input_data=&buff[4];
  2860. setup_data.output_data=&buff[5];
  2861. setup_data. coord_data=&buff[6];
  2862. Vector<FMMNode_t*>& nodes_in =n_list[4];
  2863. Vector<FMMNode_t*>& nodes_out=n_list[5];
  2864. setup_data.nodes_in .clear();
  2865. setup_data.nodes_out.clear();
  2866. 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]);
  2867. 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]);
  2868. }
  2869. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2870. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2871. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2872. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2873. for(size_t i=0;i<nodes_in .size();i++){
  2874. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_coord);
  2875. input_vector .push_back(&((FMMNode*)nodes_in [i])->src_value);
  2876. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_coord);
  2877. input_vector .push_back(&((FMMNode*)nodes_in [i])->surf_value);
  2878. }
  2879. for(size_t i=0;i<nodes_out.size();i++){
  2880. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_coord);
  2881. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_value);
  2882. }
  2883. this->SetupInteracPts(setup_data, false, false, NULL, device);
  2884. { // Resize device buffer
  2885. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  2886. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  2887. }
  2888. }
  2889. template <class FMMNode>
  2890. void FMM_Pts<FMMNode>::U_List (SetupData<Real_t>& setup_data, bool device){
  2891. //Add U_List contribution.
  2892. this->EvalListPts(setup_data, device);
  2893. }
  2894. template <class FMMNode>
  2895. 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){
  2896. { // Set setup_data
  2897. setup_data.level=level;
  2898. setup_data.kernel=&kernel;
  2899. setup_data.interac_type.resize(1);
  2900. setup_data.interac_type[0]=D2T_Type;
  2901. setup_data. input_data=&buff[1];
  2902. setup_data.output_data=&buff[5];
  2903. setup_data. coord_data=&buff[6];
  2904. Vector<FMMNode_t*>& nodes_in =n_list[1];
  2905. Vector<FMMNode_t*>& nodes_out=n_list[5];
  2906. setup_data.nodes_in .clear();
  2907. setup_data.nodes_out.clear();
  2908. 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]);
  2909. 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]);
  2910. }
  2911. std::vector<void*>& nodes_in =setup_data.nodes_in ;
  2912. std::vector<void*>& nodes_out=setup_data.nodes_out;
  2913. std::vector<Vector<Real_t>*>& input_vector=setup_data. input_vector; input_vector.clear();
  2914. std::vector<Vector<Real_t>*>& output_vector=setup_data.output_vector; output_vector.clear();
  2915. for(size_t i=0;i<nodes_in .size();i++){
  2916. input_vector .push_back(&dnwd_equiv_surf[((FMMNode*)nodes_in [i])->Depth()]);
  2917. input_vector .push_back(&((FMMData*)((FMMNode*)nodes_in [i])->FMMData())->dnward_equiv);
  2918. input_vector .push_back(NULL);
  2919. input_vector .push_back(NULL);
  2920. }
  2921. for(size_t i=0;i<nodes_out.size();i++){
  2922. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_coord);
  2923. output_vector.push_back(&((FMMNode*)nodes_out[i])->trg_value);
  2924. }
  2925. this->SetupInteracPts(setup_data, true, false, NULL, device);
  2926. { // Resize device buffer
  2927. size_t n=setup_data.output_data->Dim(0)*setup_data.output_data->Dim(1)*sizeof(Real_t);
  2928. if(this->dev_buffer.Dim()<n) this->dev_buffer.Resize(n);
  2929. }
  2930. }
  2931. template <class FMMNode>
  2932. void FMM_Pts<FMMNode>::Down2Target(SetupData<Real_t>& setup_data, bool device){
  2933. //Add Down2Target contribution.
  2934. this->EvalListPts(setup_data, device);
  2935. }
  2936. template <class FMMNode>
  2937. void FMM_Pts<FMMNode>::PostProcessing(std::vector<FMMNode_t*>& nodes){
  2938. }
  2939. template <class FMMNode>
  2940. void FMM_Pts<FMMNode>::CopyOutput(FMMNode** nodes, size_t n){
  2941. // for(size_t i=0;i<n;i++){
  2942. // FMMData* fmm_data=((FMMData*)nodes[i]->FMMData());
  2943. // }
  2944. }
  2945. }//end namespace