CUresult TestSAXPY( chCUDADevice *chDevice, size_t N, float alpha ) { CUresult status; CUdeviceptr dptrOut = 0; CUdeviceptr dptrIn = 0; float *hostOut = 0; float *hostIn = 0; CUDA_CHECK( cuCtxPushCurrent( chDevice->context() ) ); CUDA_CHECK( cuMemAlloc( &dptrOut, N*sizeof(float) ) ); CUDA_CHECK( cuMemsetD32( dptrOut, 0, N ) ); CUDA_CHECK( cuMemAlloc( &dptrIn, N*sizeof(float) ) ); CUDA_CHECK( cuMemHostAlloc( (void **) &hostOut, N*sizeof(float), 0 ) ); CUDA_CHECK( cuMemHostAlloc( (void **) &hostIn, N*sizeof(float), 0 ) ); for ( size_t i = 0; i < N; i++ ) { hostIn[i] = (float) rand() / (float) RAND_MAX; } CUDA_CHECK( cuMemcpyHtoDAsync( dptrIn, hostIn, N*sizeof(float ), NULL ) ); { CUmodule moduleSAXPY; CUfunction kernelSAXPY; void *params[] = { &dptrOut, &dptrIn, &N, &alpha }; moduleSAXPY = chDevice->module( "saxpy.ptx" ); if ( ! moduleSAXPY ) { status = CUDA_ERROR_NOT_FOUND; goto Error; } CUDA_CHECK( cuModuleGetFunction( &kernelSAXPY, moduleSAXPY, "saxpy" ) ); CUDA_CHECK( cuLaunchKernel( kernelSAXPY, 1500, 1, 1, 512, 1, 1, 0, NULL, params, NULL ) ); } CUDA_CHECK( cuMemcpyDtoHAsync( hostOut, dptrOut, N*sizeof(float), NULL ) ); CUDA_CHECK( cuCtxSynchronize() ); for ( size_t i = 0; i < N; i++ ) { if ( fabsf( hostOut[i] - alpha*hostIn[i] ) > 1e-5f ) { status = CUDA_ERROR_UNKNOWN; goto Error; } } status = CUDA_SUCCESS; printf( "Well it worked!\n" ); Error: cuCtxPopCurrent( NULL ); cuMemFreeHost( hostOut ); cuMemFreeHost( hostIn ); cuMemFree( dptrOut ); cuMemFree( dptrIn ); return status; }
void* GPUInterface::AllocatePinnedHostMemory(size_t memSize, bool writeCombined, bool mapped) { #ifdef BEAGLE_DEBUG_FLOW fprintf(stderr,"\t\t\tEntering GPUInterface::AllocatePinnedHostMemory\n"); #endif void* ptr; unsigned int flags = 0; if (writeCombined) flags |= CU_MEMHOSTALLOC_WRITECOMBINED; if (mapped) flags |= CU_MEMHOSTALLOC_DEVICEMAP; SAFE_CUPP(cuMemHostAlloc(&ptr, memSize, flags)); #ifdef BEAGLE_DEBUG_VALUES fprintf(stderr, "Allocated pinned host (CPU) memory %ld to %lu .\n", (long)ptr, ((long)ptr + memSize)); #endif #ifdef BEAGLE_DEBUG_FLOW fprintf(stderr, "\t\t\tLeaving GPUInterface::AllocatePinnedHostMemory\n"); #endif return ptr; }
int gib_alloc ( void **buffers, int buf_size, int *ld, gib_context c ) { ERROR_CHECK_FAIL(cuCtxPushCurrent(((gpu_context)(c->acc_context))->pCtx)); #if GIB_USE_MMAP ERROR_CHECK_FAIL(cuMemHostAlloc(buffers, (c->n+c->m)*buf_size, CU_MEMHOSTALLOC_DEVICEMAP)); #else ERROR_CHECK_FAIL(cuMemAllocHost(buffers, (c->n+c->m)*buf_size)); #endif *ld = buf_size; ERROR_CHECK_FAIL(cuCtxPopCurrent(&((gpu_context)(c->acc_context))->pCtx)); return GIB_SUC; }
int main(int argc, char *argv[]) { char c; CUcontext ctx; CUdevice dev = 0; void *toSpace; int status, free, total; CUdeviceptr ptr = (CUdeviceptr)NULL; int size; if(argc != 2){ fprintf(stderr,"Usage: mem_alloc.exe [MEMORY TO ALLOCATE IN MB]\n"); exit(1); } printf("All status results should be 0, if not an error has occured.\nIf 2 is reported an out of memory error has occured for\nwhich you should decrease the memory input\n"); size = atoi(argv[1]); printf("\nTrying to allocate %iMB of memory on host and GPU\n",size); if(size <= 0){ fprintf(stderr,"\nERROR: Memory must be greater than 0\n"); exit(1); } status = cuInit(0); printf("Init status: %i\n",status); status = cuCtxCreate(&ctx, 0, dev); printf("Context creation status: %i\n",status); cuMemGetInfo(&free, &total); printf("Get memory info status: %i\n",status); printf("\n%.1f/%.1f (Free/Total) MB\n", free/1024.0/1024.0, total/1024.0/1024.0); status = cuMemHostAlloc(&toSpace, size*1024*1024, 0); printf("Host allocation status: %i %s\n",status, (status==CUDA_SUCCESS) ? "SUCCESS" : "FAILED"); status = cuMemAlloc(&ptr, size*1024*1024); printf("GPU allocation status: %i %s\n",status, (status==CUDA_SUCCESS) ? "SUCCESS" : "FAILED"); printf("\nPress any key to exit..."); scanf("%c", &c); status = cuCtxDestroy(ctx); printf("Context destroy status: %i\n",status); return 0; }
SEXP R_auto_cuMemHostAlloc(SEXP r_bytesize, SEXP r_Flags) { SEXP r_ans = R_NilValue; void * pp; size_t bytesize = REAL(r_bytesize)[0]; unsigned int Flags = REAL(r_Flags)[0]; CUresult ans; ans = cuMemHostAlloc(& pp, bytesize, Flags); if(ans) return(R_cudaErrorInfo(ans)); r_ans = R_createRef(pp, "voidPtr") ; return(r_ans); }
void *swanMallocHost( size_t len ) { CUresult err; void *ptr; try_init(); #ifdef DEV_EXTENSIONS err= cuMemHostAlloc( &ptr, len, CU_MEMHOSTALLOC_PORTABLE ); //| CU_MEMHOSTALLOC_DEVICEMAP ); //| CU_MEMHOSTALLOC_WRITECOMBINED ); #else err = cuMemAllocHost( &ptr, len ); #endif if ( err != CUDA_SUCCESS ) { fprintf( stderr, "swanMallocHost error: %d\n", err ); error("swanMallocHost failed\n" ); } // printf("MallocHost %p\n", ptr ); memset( ptr, 0, len ); return ptr; }
static void calc_a_score_GPU(FLOAT *ac_score, FLOAT **score, int *ssize_start, Model_info *MI, FLOAT scale, int *size_score_array, int NoC) { CUresult res; const int IHEI = MI->IM_HEIGHT; const int IWID = MI->IM_WIDTH; int pady_n = MI->pady; int padx_n = MI->padx; int block_pad = (int)(scale/2.0); struct timeval tv; int *RY_array, *RX_array; res = cuMemHostAlloc((void**)&RY_array, NoC*sizeof(int), CU_MEMHOSTALLOC_DEVICEMAP); if(res != CUDA_SUCCESS) { printf("cuMemHostAlloc(RY_array) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemHostAlloc((void**)&RX_array, NoC*sizeof(int), CU_MEMHOSTALLOC_DEVICEMAP); if(res != CUDA_SUCCESS) { printf("cuMemHostAlloc(RX_array) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } for(int i = 0; i < NoC; i++) { int rsize[2] = {MI->rsize[i*2], MI->rsize[i*2+1]}; RY_array[i] = (int)((FLOAT)rsize[0]*scale/2.0-1.0+block_pad); RX_array[i] = (int)((FLOAT)rsize[1]*scale/2.0-1.0+block_pad); } CUdeviceptr ac_score_dev, score_dev; CUdeviceptr ssize_dev, size_score_dev; CUdeviceptr RY_dev, RX_dev; int size_score=0; for(int i = 0; i < NoC; i++) { size_score += size_score_array[i]; } /* allocate GPU memory */ res = cuMemAlloc(&ac_score_dev, gpu_size_A_SCORE); if(res != CUDA_SUCCESS) { printf("cuMemAlloc(ac_score) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemAlloc(&score_dev, size_score); if(res != CUDA_SUCCESS) { printf("cuMemAlloc(score) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemAlloc(&ssize_dev, NoC*sizeof(int)); if(res != CUDA_SUCCESS) { printf("cuMemAlloc(ssize) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemAlloc(&size_score_dev, NoC*sizeof(int)); if(res != CUDA_SUCCESS) { printf("cuMemAlloc(size_score) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemAlloc(&RY_dev, NoC*sizeof(int)); if(res != CUDA_SUCCESS) { printf("cuMemAlloc(RY) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemAlloc(&RX_dev, NoC*sizeof(int)); if(res != CUDA_SUCCESS) { printf("cuMemAlloc(RX) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } gettimeofday(&tv_memcpy_start, nullptr); /* upload date to GPU */ res = cuMemcpyHtoD(ac_score_dev, &ac_score[0], gpu_size_A_SCORE); if(res != CUDA_SUCCESS) { printf("cuMemcpyHtoD(ac_score) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemcpyHtoD(score_dev, &score[0][0], size_score); if(res != CUDA_SUCCESS) { printf("cuMemcpyHtoD(score) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemcpyHtoD(ssize_dev, &ssize_start[0], NoC*sizeof(int)); if(res != CUDA_SUCCESS) { printf("cuMemcpyHtoD(ssize) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemcpyHtoD(size_score_dev, &size_score_array[0], NoC*sizeof(int)); if(res != CUDA_SUCCESS) { printf("cuMemcpyHtoD(size_score) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemcpyHtoD(RY_dev, &RY_array[0], NoC*sizeof(int)); if(res != CUDA_SUCCESS) { printf("cuMemcpyHtoD(RY) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemcpyHtoD(RX_dev, &RX_array[0], NoC*sizeof(int)); if(res != CUDA_SUCCESS) { printf("cuMemcpyHtoD(RX) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } gettimeofday(&tv_memcpy_end, nullptr); tvsub(&tv_memcpy_end, &tv_memcpy_start, &tv); time_memcpy += tv.tv_sec * 1000.0 + (float)tv.tv_usec / 1000.0; void* kernel_args[] = { (void*)&IWID, (void*)&IHEI, (void*)&scale, (void*)&padx_n, (void*)&pady_n, &RX_dev, &RY_dev, &ac_score_dev, &score_dev, &ssize_dev, (void*)&NoC, &size_score_dev }; int sharedMemBytes = 0; /* define CUDA block shape */ int max_threads_num = 0; int thread_num_x, thread_num_y; int block_num_x, block_num_y; res = cuDeviceGetAttribute(&max_threads_num, CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK, dev[0]); if(res != CUDA_SUCCESS){ printf("\ncuDeviceGetAttribute() failed: res = %s\n", cuda_response_to_string(res)); exit(1); } NR_MAXTHREADS_X[0] = (int)sqrt((double)max_threads_num/NoC); NR_MAXTHREADS_Y[0] = (int)sqrt((double)max_threads_num/NoC); thread_num_x = (IWID < NR_MAXTHREADS_X[0]) ? IWID : NR_MAXTHREADS_X[0]; thread_num_y = (IHEI < NR_MAXTHREADS_Y[0]) ? IHEI : NR_MAXTHREADS_Y[0]; block_num_x = IWID / thread_num_x; block_num_y = IHEI / thread_num_y; if(IWID % thread_num_x != 0) block_num_x++; if(IHEI % thread_num_y != 0) block_num_y++; gettimeofday(&tv_kernel_start, nullptr); /* launch GPU kernel */ res = cuLaunchKernel( func_calc_a_score[0], // call function block_num_x, // gridDimX block_num_y, // gridDimY 1, // gridDimZ thread_num_x, // blockDimX thread_num_y, // blockDimY NoC, // blockDimZ sharedMemBytes, // sharedMemBytes nullptr, // hStream kernel_args, // kernelParams nullptr // extra ); if(res != CUDA_SUCCESS) { printf("cuLaunchKernel(calc_a_score) failed : res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuCtxSynchronize(); if(res != CUDA_SUCCESS) { printf("cuCtxSynchronize(calc_a_score) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } gettimeofday(&tv_kernel_end, nullptr); tvsub(&tv_kernel_end, &tv_kernel_start, &tv); time_kernel += tv.tv_sec * 1000.0 + (float)tv.tv_usec / 1000.0; gettimeofday(&tv_memcpy_start, nullptr); /* download data from GPU */ res = cuMemcpyDtoH(ac_score, ac_score_dev, gpu_size_A_SCORE); if(res != CUDA_SUCCESS) { printf("cuMemcpyDtoH(ac_score) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } gettimeofday(&tv_memcpy_end, nullptr); tvsub(&tv_memcpy_end, &tv_memcpy_start, &tv); time_memcpy += tv.tv_sec * 1000.0 + (float)tv.tv_usec / 1000.0; /* free GPU memory */ res = cuMemFree(ac_score_dev); if(res != CUDA_SUCCESS) { printf("cuMemFree(ac_score_dev) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemFree(score_dev); if(res != CUDA_SUCCESS) { printf("cuMemFree(score_dev) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemFree(ssize_dev); if(res != CUDA_SUCCESS) { printf("cuMemFree(ssize_dev) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemFree(size_score_dev); if(res != CUDA_SUCCESS) { printf("cuMemFree(size_score_dev) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemFree(RY_dev); if(res != CUDA_SUCCESS) { printf("cuMemFree(RY_dev) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemFree(RX_dev); if(res != CUDA_SUCCESS) { printf("cuMemFree(RX_dev) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } /* free CPU memory */ res = cuMemFreeHost(RY_array); if(res != CUDA_SUCCESS) { printf("cuMemFreeHost(RY_array) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } res = cuMemFreeHost(RX_array); if(res != CUDA_SUCCESS) { printf("cuMemFreeHost(RX_array) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } }
//detect boundary box FLOAT *dpm_ttic_gpu_get_boxes(FLOAT **features,FLOAT *scales,int *feature_size, GPUModel *MO, int *detected_count, FLOAT *acc_score, FLOAT thresh) { //constant parameters const int max_scale = MO->MI->max_scale; const int interval = MO->MI->interval; const int sbin = MO->MI->sbin; const int padx = MO->MI->padx; const int pady = MO->MI->pady; const int NoR = MO->RF->NoR; const int NoP = MO->PF->NoP; const int NoC = MO->MI->numcomponent; const int *numpart = MO->MI->numpart; const int LofFeat=(max_scale+interval)*NoC; const int L_MAX = max_scale+interval; /* for measurement */ struct timeval tv; struct timeval tv_make_c_start, tv_make_c_end; struct timeval tv_nucom_start, tv_nucom_end; struct timeval tv_box_start, tv_box_end; float time_box=0; struct timeval tv_root_score_start, tv_root_score_end; float time_root_score = 0; struct timeval tv_part_score_start, tv_part_score_end; float time_part_score = 0; struct timeval tv_dt_start, tv_dt_end; float time_dt = 0; struct timeval tv_calc_a_score_start, tv_calc_a_score_end; float time_calc_a_score = 0; gettimeofday(&tv_make_c_start, nullptr); int **RF_size = MO->RF->root_size; int *rootsym = MO->RF->rootsym; int *part_sym = MO->PF->part_sym; int **part_size = MO->PF->part_size; FLOAT **rootfilter = MO->RF->rootfilter; FLOAT **partfilter=MO->PF->partfilter; int **psize = MO->MI->psize; int **rm_size_array = (int **)malloc(sizeof(int *)*L_MAX); int **pm_size_array = (int **)malloc(sizeof(int *)*L_MAX); pm_size_array = (int **)malloc(sizeof(int *)*L_MAX); FLOAT **Tboxes=(FLOAT**)calloc(LofFeat,sizeof(FLOAT*)); //box coordinate information(Temp) int *b_nums =(int*)calloc(LofFeat,sizeof(int)); //length of Tboxes int count = 0; int detected_boxes=0; CUresult res; /* matched score (root and part) */ FLOAT ***rootmatch,***partmatch = nullptr; int *new_PADsize; // need new_PADsize[L_MAX*3] size_t SUM_SIZE_feat = 0; FLOAT **featp2 = (FLOAT **)malloc(L_MAX*sizeof(FLOAT *)); if(featp2 == nullptr) { // error semantics printf("allocate featp2 failed\n"); exit(1); } /* allocate required memory for new_PADsize */ new_PADsize = (int *)malloc(L_MAX*3*sizeof(int)); if(new_PADsize == nullptr) { // error semantics printf("allocate new_PADsize failed\n"); exit(1); } /* do padarray once and reuse it at calculating root and part time */ /* calculate sum of size of padded feature */ for(int tmpL=0; tmpL<L_MAX; tmpL++) { int PADsize[3] = { feature_size[tmpL*2], feature_size[tmpL*2+1], 31 }; int NEW_Y = PADsize[0] + pady*2; int NEW_X = PADsize[1] + padx*2; SUM_SIZE_feat += (NEW_X*NEW_Y*PADsize[2])*sizeof(FLOAT); } /* allocate region for padded feat in a lump */ FLOAT *dst_feat; res = cuMemHostAlloc((void **)&dst_feat, SUM_SIZE_feat, CU_MEMHOSTALLOC_DEVICEMAP); if(res != CUDA_SUCCESS) { printf("cuMemHostAlloc(dst_feat) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } memset(dst_feat, 0, SUM_SIZE_feat); // zero clear /* distribute allocated region */ uintptr_t pointer_feat = (uintptr_t)dst_feat; for(int tmpL=0; tmpL<L_MAX; tmpL++) { featp2[tmpL] = (FLOAT *)pointer_feat; int PADsize[3] = { feature_size[tmpL*2], feature_size[tmpL*2+1], 31 }; int NEW_Y = PADsize[0] + pady*2; int NEW_X = PADsize[1] + padx*2; pointer_feat += (uintptr_t)(NEW_X*NEW_Y*PADsize[2]*sizeof(FLOAT)); } /* copy feat to feat2 */ for(int tmpL=0; tmpL<L_MAX; tmpL++) { int PADsize[3] = { feature_size[tmpL*2], feature_size[tmpL*2+1], 31 }; int NEW_Y = PADsize[0] + pady*2; int NEW_X = PADsize[1] + padx*2; int L = NEW_Y*padx; int SPL = PADsize[0] + pady; int M_S = sizeof(FLOAT)*PADsize[0]; FLOAT *P = featp2[tmpL]; FLOAT *S = features[tmpL]; for(int i=0; i<PADsize[2]; i++) { P += L; for(int j=0; j<PADsize[1]; j++) { P += pady; memcpy(P, S, M_S); S += PADsize[0]; P += SPL; } P += L; } new_PADsize[tmpL*3] = NEW_Y; new_PADsize[tmpL*3 + 1] = NEW_X; new_PADsize[tmpL*3 + 2] = PADsize[2]; } /* do padarray once and reuse it at calculating root and part time */ /* allocation in a lump */ int *dst_rm_size = (int *)malloc(sizeof(int)*NoC*2*L_MAX); if(dst_rm_size == nullptr) { printf("allocate dst_rm_size failed\n"); exit(1); } /* distribution to rm_size_array[L_MAX] */ uintptr_t ptr = (uintptr_t)dst_rm_size; for(int i=0; i<L_MAX; i++) { rm_size_array[i] = (int *)ptr; ptr += (uintptr_t)(NoC*2*sizeof(int)); } /* allocation in a lump */ int *dst_pm_size = (int *)malloc(sizeof(int)*NoP*2*L_MAX); if(dst_pm_size == nullptr) { printf("allocate dst_pm_size failed\n"); exit(1); } /* distribution to pm_size_array[L_MAX] */ ptr = (uintptr_t)dst_pm_size; for(int i=0; i<L_MAX; i++) { pm_size_array[i] = (int *)ptr; ptr += (uintptr_t)(NoP*2*sizeof(int)); } ///////level for (int level=interval; level<L_MAX; level++) // feature's loop(A's loop) 1level 1picture { if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { Tboxes[count]=nullptr; count++; continue; } } //for (level) // feature's loop(A's loop) 1level 1picture ///////root calculation///////// /* calculate model score (only root) */ gettimeofday(&tv_root_score_start, nullptr); rootmatch = fconvsMT_GPU( featp2, SUM_SIZE_feat, rootfilter, rootsym, 1, NoR, new_PADsize, RF_size, rm_size_array, L_MAX, interval, feature_size, padx, pady, MO->MI->max_X, MO->MI->max_Y, ROOT ); gettimeofday(&tv_root_score_end, nullptr); tvsub(&tv_root_score_end, &tv_root_score_start, &tv); time_root_score += tv.tv_sec * 1000.0 + (float)tv.tv_usec / 1000.0; ///////part calculation///////// if(NoP>0) { /* calculate model score (only part) */ gettimeofday(&tv_part_score_start, nullptr); partmatch = fconvsMT_GPU( featp2, SUM_SIZE_feat, partfilter, part_sym, 1, NoP, new_PADsize, part_size, pm_size_array, L_MAX, interval, feature_size, padx, pady, MO->MI->max_X, MO->MI->max_Y, PART ); gettimeofday(&tv_part_score_end, nullptr); tvsub(&tv_part_score_end, &tv_part_score_start, &tv); time_part_score += tv.tv_sec * 1000.0 + (float)tv.tv_usec / 1000.0; } res = cuCtxSetCurrent(ctx[0]); if(res != CUDA_SUCCESS) { printf("cuCtxSetCurrent(ctx[0]) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } gettimeofday(&tv_make_c_end, nullptr); gettimeofday(&tv_nucom_start, nullptr); count = 0; detected_boxes = 0; int **RL_array = (int **)malloc((L_MAX-interval)*sizeof(int*)); int *dst_RL = (int *) malloc(NoC*(L_MAX-interval)*sizeof(int)); int **RI_array = (int **)malloc((L_MAX-interval)*sizeof(int*)); int *dst_RI = (int *)malloc(NoC*(L_MAX-interval)*sizeof(int)); int **OI_array = (int **)malloc((L_MAX-interval)*sizeof(int*)); int *dst_OI = (int *)malloc((NoC)*(L_MAX-interval)*sizeof(int)); int **RL_S_array = (int **)malloc((L_MAX-interval)*sizeof(int*)); int *dst_RL_S = (int *)malloc(NoC*(L_MAX-interval)*sizeof(int)); FLOAT **OFF_array = (FLOAT **)malloc((L_MAX-interval)*sizeof(FLOAT*)); FLOAT *dst_OFF = (FLOAT *)malloc(NoC*(L_MAX-interval)*sizeof(FLOAT)); FLOAT ***SCORE_array = (FLOAT ***)malloc((L_MAX-interval)*sizeof(FLOAT **)); FLOAT **sub_dst_SCORE = (FLOAT **)malloc(NoC*(L_MAX-interval)*sizeof(FLOAT*)); uintptr_t pointer_RL = (uintptr_t)dst_RL; uintptr_t pointer_RI = (uintptr_t)dst_RI; uintptr_t pointer_OI = (uintptr_t)dst_OI; uintptr_t pointer_RL_S = (uintptr_t)dst_RL_S; uintptr_t pointer_OFF = (uintptr_t)dst_OFF; uintptr_t pointer_SCORE = (uintptr_t)sub_dst_SCORE; for (int level=interval; level<L_MAX; level++) { int L=level-interval; RL_array[L] = (int *)pointer_RL; pointer_RL += (uintptr_t)NoC*sizeof(int); RI_array[L] = (int *)pointer_RI; pointer_RI += (uintptr_t)NoC*sizeof(int); OI_array[L] = (int *)pointer_OI; pointer_OI += (uintptr_t)NoC*sizeof(int); RL_S_array[L] = (int *)pointer_RL_S; pointer_RL_S += (uintptr_t)NoC*sizeof(int); OFF_array[L] = (FLOAT *)pointer_OFF; pointer_OFF += (uintptr_t)NoC*sizeof(FLOAT); SCORE_array[L] = (FLOAT **)pointer_SCORE; pointer_SCORE += (uintptr_t)NoC*sizeof(FLOAT*); } int sum_RL_S = 0; int sum_SNJ = 0; /* prepare for parallel execution */ for(int level=interval; level<L_MAX; level++) { int L = level - interval; if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { continue; } for(int j=0; j<NoC; j++) { /* root score + offset */ RL_array[L][j] = rm_size_array[level][j*2]*rm_size_array[level][j*2+1]; //length of root-matching RI_array[L][j] = MO->MI->ridx[j]; //root-index OI_array[L][j] = MO->MI->oidx[j]; //offset-index RL_S_array[L][j] =sizeof(FLOAT)*RL_array[L][j]; OFF_array[L][j] = MO->MI->offw[RI_array[L][j]]; //offset information /* search max values */ max_RL_S = (max_RL_S < RL_S_array[L][j]) ? RL_S_array[L][j] : max_RL_S; max_numpart = (max_numpart < numpart[j]) ? numpart[j] : max_numpart; } } sum_RL_S = max_RL_S*NoC*(L_MAX-interval); /* root matching size */ sum_SNJ = sizeof(int*)*max_numpart*NoC*(L_MAX-interval); /* consolidated allocation for SCORE_array and distribute region */ FLOAT *dst_SCORE = (FLOAT *)malloc(sum_RL_S); pointer_SCORE = (uintptr_t)dst_SCORE; for(int level=interval; level<L_MAX; level++) { int L = level - interval; if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { continue; } for(int j=0; j<NoC; j++) { SCORE_array[L][j] = (FLOAT *)pointer_SCORE; pointer_SCORE += (uintptr_t)max_RL_S; } } /* add offset */ for(int level=interval; level<L_MAX; level++) { int L = level - interval; if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { continue; } for(int j=0; j<NoC; j++) { memcpy(SCORE_array[L][j], rootmatch[level][j], RL_S_array[L][j]); FLOAT *SC_S = SCORE_array[L][j]; FLOAT *SC_E = SCORE_array[L][j]+RL_array[L][j]; while(SC_S<SC_E) *(SC_S++)+=OFF_array[L][j]; } } /* anchor matrix */ // consolidated allocation int ***ax_array = (int ***)malloc((L_MAX-interval)*sizeof(int **)); int **sub_dst_ax = (int **)malloc(NoC*(L_MAX-interval)*sizeof(int *)); int *dst_ax = (int *)malloc(sum_SNJ); int ***ay_array = (int ***)malloc((L_MAX-interval)*sizeof(int **)); int **sub_dst_ay = (int **)malloc(NoC*(L_MAX-interval)*sizeof(int *)); int *dst_ay = (int *)malloc(sum_SNJ); /* boudary index */ // consolidated allocation int ****Ix_array =(int ****)malloc((L_MAX-interval)*sizeof(int ***)); int ***sub_dst_Ix = (int ***)malloc(NoC*(L_MAX-interval)*sizeof(int **)); int **dst_Ix = (int **)malloc(sum_SNJ); int ****Iy_array = (int ****)malloc((L_MAX-interval)*sizeof(int ***)); int ***sub_dst_Iy = (int ***)malloc(NoC*(L_MAX-interval)*sizeof(int **)); int **dst_Iy = (int **)malloc(sum_SNJ); /* distribute region */ uintptr_t pointer_ax = (uintptr_t)sub_dst_ax; uintptr_t pointer_ay = (uintptr_t)sub_dst_ay; uintptr_t pointer_Ix = (uintptr_t)sub_dst_Ix; uintptr_t pointer_Iy = (uintptr_t)sub_dst_Iy; for(int level=interval; level<L_MAX; level++) { int L = level - interval; if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { continue; } ax_array[L] = (int **)pointer_ax; pointer_ax += (uintptr_t)(NoC*sizeof(int*)); ay_array[L] = (int **)pointer_ay; pointer_ay += (uintptr_t)(NoC*sizeof(int*)); Ix_array[L] = (int ***)pointer_Ix; pointer_Ix += (uintptr_t)(NoC*sizeof(int**)); Iy_array[L] = (int ***)pointer_Iy; pointer_Iy += (uintptr_t)(NoC*sizeof(int**)); } pointer_ax = (uintptr_t)dst_ax; pointer_ay = (uintptr_t)dst_ay; pointer_Ix = (uintptr_t)dst_Ix; pointer_Iy = (uintptr_t)dst_Iy; for(int level=interval; level<L_MAX; level++) { int L = level - interval; if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { continue; } for(int j=0; j<NoC; j++) { uintptr_t pointer_offset = sizeof(int*)*max_numpart; ax_array[L][j] = (int *)pointer_ax; pointer_ax += pointer_offset; ay_array[L][j] = (int *)pointer_ay; pointer_ay += pointer_offset; Ix_array[L][j] = (int **)pointer_Ix; pointer_Ix += pointer_offset; Iy_array[L][j] = (int **)pointer_Iy; pointer_Iy += pointer_offset; } } /* add parts */ if(NoP>0) { /* arrays to store temporary loop variables */ int tmp_array_size = 0; for(int level=interval; level<L_MAX; level++) { if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { continue; } for(int j=0; j<NoC; j++) { tmp_array_size += max_numpart*sizeof(int); } } int ***DIDX_array = (int ***)malloc((L_MAX-interval)*sizeof(int**)); int **sub_dst_DIDX = (int **)malloc(NoC*(L_MAX-interval)*sizeof(int*)); int *dst_DIDX = (int *)malloc(tmp_array_size); int ***DID_4_array = (int ***)malloc((L_MAX-interval)*sizeof(int **)); int **sub_dst_DID_4 = (int **)malloc(NoC*(L_MAX-interval)*sizeof(int*)); int *dst_DID_4; res = cuMemHostAlloc((void **)&dst_DID_4, tmp_array_size, CU_MEMHOSTALLOC_DEVICEMAP); if(res != CUDA_SUCCESS) { printf("cuMemHostAlloc(dst_DID_4) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } int ***PIDX_array = (int ***)malloc((L_MAX-interval)*sizeof(int **)); int **sub_dst_PIDX = (int **)malloc(NoC*(L_MAX-interval)*sizeof(int*)); int *dst_PIDX; res = cuMemHostAlloc((void **)&dst_PIDX, tmp_array_size, CU_MEMHOSTALLOC_DEVICEMAP); if(res != CUDA_SUCCESS) { printf("cuMemHostAlloc(dst_PIDX) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } /* distribute consolidated region */ uintptr_t pointer_DIDX = (uintptr_t)sub_dst_DIDX; uintptr_t pointer_DID_4 = (uintptr_t)sub_dst_DID_4; uintptr_t pointer_PIDX = (uintptr_t)sub_dst_PIDX; for(int level=interval; level<L_MAX; level++) { int L = level - interval; if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { continue; } DIDX_array[L] = (int **)pointer_DIDX; pointer_DIDX += (uintptr_t)(NoC*sizeof(int*)); DID_4_array[L] = (int **)pointer_DID_4; pointer_DID_4 += (uintptr_t)(NoC*sizeof(int*)); PIDX_array[L] = (int **)pointer_PIDX; pointer_PIDX += (uintptr_t)(NoC*sizeof(int*)); } pointer_DIDX = (uintptr_t)dst_DIDX; pointer_DID_4 = (uintptr_t)dst_DID_4; pointer_PIDX = (uintptr_t)dst_PIDX; for(int level=interval; level<L_MAX; level++) { int L = level - interval; if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { continue; } for(int j=0; j<NoC; j++) { uintptr_t pointer_offset = (uintptr_t)(max_numpart*sizeof(int)); DIDX_array[L][j] = (int *)pointer_DIDX; pointer_DIDX += pointer_offset; DID_4_array[L][j] = (int *)pointer_DID_4; pointer_DID_4 += pointer_offset; PIDX_array[L][j] = (int *)pointer_PIDX; pointer_PIDX += pointer_offset; } } /* prepare for parallel execution */ int sum_size_index_matrix = 0; for(int level=interval; level<L_MAX; level++) { int L = level - interval; if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { continue; } for(int j=0; j<NoC; j++) { for (int k=0;k<numpart[j];k++) { /* assign values to each element */ DIDX_array[L][j][k] = MO->MI->didx[j][k]; DID_4_array[L][j][k] = DIDX_array[L][j][k]*4; PIDX_array[L][j][k] = MO->MI->pidx[j][k]; /* anchor */ ax_array[L][j][k] = MO->MI->anchor[DIDX_array[L][j][k]*2]+1; ay_array[L][j][k] = MO->MI->anchor[DIDX_array[L][j][k]*2+1]+1; int PSSIZE[2] ={pm_size_array[L][PIDX_array[L][j][k]*2], pm_size_array[L][PIDX_array[L][j][k]*2+1]}; // size of C /* index matrix */ sum_size_index_matrix += sizeof(int)*PSSIZE[0]*PSSIZE[1]; } } } int *dst_Ix_kk = (int *)malloc(sum_size_index_matrix); int *dst_Iy_kk = (int *)malloc(sum_size_index_matrix); uintptr_t pointer_Ix_kk = (uintptr_t)dst_Ix_kk; uintptr_t pointer_Iy_kk = (uintptr_t)dst_Iy_kk; for(int level=interval; level<L_MAX; level++) { int L = level - interval; if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { continue; } for(int j=0; j<NoC; j++) { for (int k=0;k<numpart[j];k++) { int PSSIZE[2] ={pm_size_array[L][PIDX_array[L][j][k]*2], pm_size_array[L][PIDX_array[L][j][k]*2+1]}; // size of C Ix_array[L][j][k] = (int *)pointer_Ix_kk; Iy_array[L][j][k] = (int *)pointer_Iy_kk; pointer_Ix_kk += (uintptr_t)(sizeof(int)*PSSIZE[0]*PSSIZE[1]); pointer_Iy_kk += (uintptr_t)(sizeof(int)*PSSIZE[0]*PSSIZE[1]); } } } gettimeofday(&tv_dt_start, nullptr); FLOAT ****M_array = dt_GPU( Ix_array, // int ****Ix_array Iy_array, // int ****Iy_array PIDX_array, // int ***PIDX_array pm_size_array, // int **size_array NoP, // int NoP numpart, // int *numpart NoC, // int NoC interval, // int interval L_MAX, // int L_MAX feature_size, // int *feature_size, padx, // int padx, pady, // int pady, MO->MI->max_X, // int max_X MO->MI->max_Y, // int max_Y MO->MI->def, // FLOAT *def tmp_array_size, // int tmp_array_size dst_PIDX, // int *dst_PIDX dst_DID_4 // int *DID_4 ); gettimeofday(&tv_dt_end, nullptr); tvsub(&tv_dt_end, &tv_dt_start, &tv); time_dt += tv.tv_sec * 1000.0 + (float)tv.tv_usec / 1000.0; /* add part score */ for(int level=interval; level<L_MAX; level++){ int L = level - interval; if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { continue; } for(int j=0; j<NoC; j++) { for(int k=0; k<numpart[j]; k++) { int PSSIZE[2] ={pm_size_array[L][PIDX_array[L][j][k]*2], pm_size_array[L][PIDX_array[L][j][k]*2+1]}; // Size of C int R_S[2]={rm_size_array[level][j*2], rm_size_array[level][j*2+1]}; dpm_ttic_add_part_calculation(SCORE_array[L][j], M_array[L][j][k], R_S, PSSIZE, ax_array[L][j][k], ay_array[L][j][k]); } } } s_free(M_array[0][0][0]); s_free(M_array[0][0]); s_free(M_array[0]); s_free(M_array); /* free temporary arrays */ free(dst_DIDX); free(sub_dst_DIDX); free(DIDX_array); res = cuMemFreeHost(dst_DID_4); if(res != CUDA_SUCCESS) { printf("cuMemFreeHost(dst_DID_4) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } free(sub_dst_DID_4); free(DID_4_array); res = cuMemFreeHost(dst_PIDX); if(res != CUDA_SUCCESS) { printf("cuMemFreeHost(dst_PIDX) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } free(sub_dst_PIDX); free(PIDX_array); res = cuCtxSetCurrent(ctx[0]); if(res != CUDA_SUCCESS) { printf("cuCtxSetCurrent(ctx[0]) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } } // start from if(NoP>0) /* combine root and part score and detect boundary box for each-component */ FLOAT *scale_array = (FLOAT *)malloc((L_MAX-interval)*sizeof(FLOAT)); for(int level=interval; level<L_MAX; level++) { int L = level - interval; if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { Tboxes[count]=nullptr; count++; continue; } scale_array[L] = (FLOAT)sbin/scales[level]; } for (int level=interval; level<L_MAX; level++) // feature's loop(A's loop) 1level 1picture { /* parameters (related for level) */ int L=level-interval; /* matched score size matrix */ FLOAT scale=(FLOAT)sbin/scales[level]; /* loop conditon */ if(feature_size[level*2]+2*pady<MO->MI->max_Y ||(feature_size[level*2+1]+2*padx<MO->MI->max_X)) { Tboxes[count]=nullptr; count++; continue; } /* calculate accumulated score */ gettimeofday(&tv_calc_a_score_start, nullptr); calc_a_score_GPU( acc_score, // FLOAT *ac_score SCORE_array[L], // FLOAT **score rm_size_array[level], // int *ssize_start MO->MI, // Model_info *MI scale, // FLOAT scale RL_S_array[L], // int *size_score_array NoC // int NoC ); gettimeofday(&tv_calc_a_score_end, nullptr); tvsub(&tv_calc_a_score_end, &tv_calc_a_score_start, &tv); time_calc_a_score += tv.tv_sec * 1000.0 + (float)tv.tv_usec / 1000.0; for(int j = 0; j <NoC; j++) { int R_S[2]={rm_size_array[level][j*2], rm_size_array[level][j*2+1]}; /* get all good matches */ int GMN; int *GMPC = get_gmpc(SCORE_array[L][j],thresh,R_S,&GMN); int RSIZE[2]={MO->MI->rsize[j*2], MO->MI->rsize[j*2+1]}; int GL = (numpart[j]+1)*4+3; //31 /* detected box coordinate(current level) */ FLOAT *t_boxes = (FLOAT*)calloc(GMN*GL,sizeof(FLOAT)); gettimeofday(&tv_box_start, nullptr); // NO NEED TO USE GPU for(int k = 0;k < GMN;k++) { FLOAT *P_temp = t_boxes+GL*k; int y = GMPC[2*k]; int x = GMPC[2*k+1]; /* calculate root box coordinate */ FLOAT *RB =rootbox(x,y,scale,padx,pady,RSIZE); memcpy(P_temp, RB,sizeof(FLOAT)*4); s_free(RB); P_temp+=4; for(int pp=0;pp<numpart[j];pp++) { int PBSIZE[2]={psize[j][pp*2], psize[j][pp*2+1]}; int Isize[2]={pm_size_array[L][MO->MI->pidx[j][pp]*2], pm_size_array[L][MO->MI->pidx[j][pp]*2+1]}; /* calculate part box coordinate */ FLOAT *PB = partbox(x,y,ax_array[L][j][pp],ay_array[L][j][pp],scale,padx,pady,PBSIZE,Ix_array[L][j][pp],Iy_array[L][j][pp],Isize); memcpy(P_temp, PB,sizeof(FLOAT)*4); P_temp+=4; s_free(PB); } /* component number and score */ *(P_temp++)=(FLOAT)j; //component number *(P_temp++)=SCORE_array[L][j][x*R_S[0]+y]; //score of good match *P_temp = scale; } // NO NEED TO USE GPU gettimeofday(&tv_box_end, nullptr); tvsub(&tv_box_end, &tv_box_start, &tv); time_box += tv.tv_sec * 1000.0 + (float)tv.tv_usec / 1000.0; /* save box information */ if (GMN > 0) Tboxes[count] = t_boxes; else Tboxes[count] = nullptr; b_nums[count]=GMN; count++; detected_boxes+=GMN; //number of detected box /* release */ s_free(GMPC); } ////numcom } ////level /* free temporary arrays */ free(dst_RL); free(RL_array); free(dst_RI); free(RI_array); free(dst_OI); free(OI_array); free(dst_RL_S); free(RL_S_array); free(dst_OFF); free(OFF_array); free(dst_SCORE); free(sub_dst_SCORE); free(SCORE_array); free(dst_ax); free(sub_dst_ax); free(ax_array); free(dst_ay); free(sub_dst_ay); free(ay_array); free(Ix_array[0][0][0]); free(dst_Ix); free(sub_dst_Ix); free(Ix_array); free(Iy_array[0][0][0]); free(dst_Iy); free(sub_dst_Iy); free(Iy_array); free(scale_array); gettimeofday(&tv_nucom_end, nullptr); #ifdef PRINT_INFO printf("root SCORE : %f\n", time_root_score); printf("part SCORE : %f\n", time_part_score); printf("dt : %f\n", time_dt); printf("calc_a_score : %f\n", time_calc_a_score); #endif res = cuCtxSetCurrent(ctx[0]); if(res != CUDA_SUCCESS) { printf("cuCtxSetCurrent(ctx[0]) failed: res = %s\n",cuda_response_to_string(res)); exit(1); } /* free memory regions */ res = cuMemFreeHost((void *)featp2[0]); if(res != CUDA_SUCCESS) { printf("cuMemFreeHost(featp2[0]) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } s_free(featp2); res = cuMemFreeHost((void *)rootmatch[interval][0]); if(res != CUDA_SUCCESS) { printf("cuMemFreeHost(rootmatch[0][0]) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } s_free(rootmatch[0]); s_free(rootmatch); if (partmatch != nullptr) { res = cuMemFreeHost((void *)partmatch[0][0]); if(res != CUDA_SUCCESS) { printf("cuMemFreeHost(partmatch[0][0]) failed: res = %s\n", cuda_response_to_string(res)); exit(1); } s_free(partmatch[0]); s_free(partmatch); s_free(new_PADsize); } /* release */ s_free(rm_size_array[0]); s_free(rm_size_array); s_free(pm_size_array[0]); s_free(pm_size_array); /* Output boundary-box coorinate information */ int GL=(numpart[0]+1)*4+3; FLOAT *boxes=(FLOAT*)calloc(detected_boxes*GL,sizeof(FLOAT)); //box coordinate information(Temp) FLOAT *T1 = boxes; for(int i = 0; i < LofFeat; i++) { int num_t = b_nums[i]*GL; if(num_t > 0) { FLOAT *T2 = Tboxes[i]; //memcpy_s(T1,sizeof(FLOAT)*num_t,T2,sizeof(FLOAT)*num_t); memcpy(T1, T2,sizeof(FLOAT)*num_t); T1 += num_t; } } FLOAT abs_threshold = abs(thresh); /* accumulated score calculation */ FLOAT max_score = 0.0; /* add offset to accumulated score */ for(int i = 0; i < MO->MI->IM_HEIGHT*MO->MI->IM_WIDTH; i++) { if (acc_score[i] < thresh) { acc_score[i] = 0.0; } else { acc_score[i] += abs_threshold; if (acc_score[i] > max_score) max_score = acc_score[i]; } } /* normalization */ if (max_score > 0.0) { FLOAT ac_ratio = 1.0 / max_score; for (int i = 0; i < MO->MI->IM_HEIGHT*MO->MI->IM_WIDTH; i++) { acc_score[i] *= ac_ratio; } } /* release */ free_boxes(Tboxes,LofFeat); s_free(b_nums); /* output result */ *detected_count = detected_boxes; return boxes; }
cl_int pocl_cuda_alloc_mem_obj (cl_device_id device, cl_mem mem_obj, void *host_ptr) { cuCtxSetCurrent (((pocl_cuda_device_data_t *)device->data)->context); CUresult result; void *b = NULL; /* if memory for this global memory is not yet allocated -> do it */ if (mem_obj->device_ptrs[device->global_mem_id].mem_ptr == NULL) { cl_mem_flags flags = mem_obj->flags; if (flags & CL_MEM_USE_HOST_PTR) { #if defined __arm__ // cuMemHostRegister is not supported on ARN // Allocate device memory and perform explicit copies // before and after running a kernel result = cuMemAlloc ((CUdeviceptr *)&b, mem_obj->size); CUDA_CHECK (result, "cuMemAlloc"); #else result = cuMemHostRegister (host_ptr, mem_obj->size, CU_MEMHOSTREGISTER_DEVICEMAP); if (result != CUDA_SUCCESS && result != CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED) CUDA_CHECK (result, "cuMemHostRegister"); result = cuMemHostGetDevicePointer ((CUdeviceptr *)&b, host_ptr, 0); CUDA_CHECK (result, "cuMemHostGetDevicePointer"); #endif } else if (flags & CL_MEM_ALLOC_HOST_PTR) { result = cuMemHostAlloc (&mem_obj->mem_host_ptr, mem_obj->size, CU_MEMHOSTREGISTER_DEVICEMAP); CUDA_CHECK (result, "cuMemHostAlloc"); result = cuMemHostGetDevicePointer ((CUdeviceptr *)&b, mem_obj->mem_host_ptr, 0); CUDA_CHECK (result, "cuMemHostGetDevicePointer"); } else { result = cuMemAlloc ((CUdeviceptr *)&b, mem_obj->size); if (result != CUDA_SUCCESS) { const char *err; cuGetErrorName (result, &err); POCL_MSG_PRINT2 (__FUNCTION__, __LINE__, "-> Failed to allocate memory: %s\n", err); return CL_MEM_OBJECT_ALLOCATION_FAILURE; } } if (flags & CL_MEM_COPY_HOST_PTR) { result = cuMemcpyHtoD ((CUdeviceptr)b, host_ptr, mem_obj->size); CUDA_CHECK (result, "cuMemcpyHtoD"); } mem_obj->device_ptrs[device->global_mem_id].mem_ptr = b; mem_obj->device_ptrs[device->global_mem_id].global_mem_id = device->global_mem_id; } /* copy already allocated global mem info to devices own slot */ mem_obj->device_ptrs[device->dev_id] = mem_obj->device_ptrs[device->global_mem_id]; return CL_SUCCESS; }
/* * Class: edu_syr_pcpratts_rootbeer_runtime2_cuda_CudaRuntime2 * Method: findReserveMem * Signature: ()I */ JNIEXPORT jlong JNICALL Java_edu_syr_pcpratts_rootbeer_runtime2_cuda_CudaRuntime2_findReserveMem (JNIEnv * env, jobject this_ref, jint max_blocks_per_proc, jint max_threads_per_block) { size_t to_space_size; size_t temp_size; int status; int deviceCount = 0; jlong prev_i; jlong i; size_t f_mem; size_t t_mem; jint num_blocks; status = cuInit(0); CHECK_STATUS(env,"error in cuInit",status) printf("automatically determining CUDA reserve space...\n"); to_space_size = initContext(env, max_blocks_per_proc, max_threads_per_block); //space for 100 types in the scene classMemSize = sizeof(jint)*100; num_blocks = numMultiProcessors * max_threads_per_block * max_blocks_per_proc; gc_space_size = 1024; to_space_size -= (num_blocks * sizeof(jlong)); to_space_size -= (num_blocks * sizeof(jlong)); to_space_size -= gc_space_size; to_space_size -= classMemSize; for(i = 1024L*1024L; i < to_space_size; i += 100L*1024L*1024L){ temp_size = to_space_size - i; printf("attempting allocation with temp_size: %lu to_space_size: %lu i: %ld\n", temp_size, to_space_size, i); status = cuMemHostAlloc(&toSpace, temp_size, 0); if(status != CUDA_SUCCESS){ cuCtxDestroy(cuContext); initContext(env, max_blocks_per_proc, max_threads_per_block); continue; } status = cuMemAlloc(&gpuToSpace, temp_size); if(status != CUDA_SUCCESS){ cuCtxDestroy(cuContext); initContext(env, max_blocks_per_proc, max_threads_per_block); continue; } status = cuMemAlloc(&gpuClassMemory, classMemSize); if(status != CUDA_SUCCESS){ cuCtxDestroy(cuContext); initContext(env, max_blocks_per_proc, max_threads_per_block); continue; } status = cuMemHostAlloc(&handlesMemory, num_blocks * sizeof(jlong), CU_MEMHOSTALLOC_WRITECOMBINED); if(status != CUDA_SUCCESS){ cuCtxDestroy(cuContext); initContext(env, max_blocks_per_proc, max_threads_per_block); continue; } status = cuMemAlloc(&gpuHandlesMemory, num_blocks * sizeof(jlong)); if(status != CUDA_SUCCESS){ cuCtxDestroy(cuContext); initContext(env, max_blocks_per_proc, max_threads_per_block); continue; } status = cuMemHostAlloc(&exceptionsMemory, num_blocks * sizeof(jlong), 0); if(status != CUDA_SUCCESS){ cuCtxDestroy(cuContext); initContext(env, max_blocks_per_proc, max_threads_per_block); continue; } status = cuMemAlloc(&gpuExceptionsMemory, num_blocks * sizeof(jlong)); if(status != CUDA_SUCCESS){ cuCtxDestroy(cuContext); initContext(env, max_blocks_per_proc, max_threads_per_block); continue; } status = cuMemAlloc(&gcInfoSpace, gc_space_size); if(status != CUDA_SUCCESS){ cuCtxDestroy(cuContext); initContext(env, max_blocks_per_proc, max_threads_per_block); continue; } status = cuMemAlloc(&gpuHeapEndPtr, 8); if(status != CUDA_SUCCESS){ cuCtxDestroy(cuContext); initContext(env, max_blocks_per_proc, max_threads_per_block); continue; } status = cuMemAlloc(&gpuBufferSize, 8); if(status != CUDA_SUCCESS){ cuCtxDestroy(cuContext); initContext(env, max_blocks_per_proc, max_threads_per_block); continue; } //done, free everything cuMemFree(gpuToSpace); cuMemFree(gpuClassMemory); cuMemFree(gpuHandlesMemory); cuMemFree(gpuExceptionsMemory); cuMemFree(gcInfoSpace); cuMemFree(gpuHeapEndPtr); cuMemFree(gpuBufferSize); cuMemFreeHost(toSpace); cuMemFreeHost(handlesMemory); cuMemFreeHost(exceptionsMemory); return i; } throw_cuda_errror_exception(env, "unable to find enough space using CUDA", 0); return 0; }
void initDevice(JNIEnv * env, jobject this_ref, jint max_blocks_per_proc, jint max_threads_per_block, jlong free_space) { int status; jint num_blocks; int deviceCount = 0; size_t f_mem; size_t t_mem; size_t to_space_size; textureMemSize = 1; status = cuDeviceGetCount(&deviceCount); CHECK_STATUS(env,"error in cuDeviceGetCount",status) getBestDevice(env); status = cuCtxCreate(&cuContext, CU_CTX_MAP_HOST, cuDevice); CHECK_STATUS(env,"error in cuCtxCreate",status) status = cuMemGetInfo (&f_mem, &t_mem); CHECK_STATUS(env,"error in cuMemGetInfo",status) to_space_size = f_mem; num_blocks = numMultiProcessors * max_threads_per_block * max_blocks_per_proc; #if DEBUG printf("Memory: %i(MB)/%i(MB) (Free/Total)\n",f_mem/1024/1024, t_mem/1024/1024); printf("num_blocks = %i\n",num_blocks); printf("numMultiProcessors = %i\n",numMultiProcessors); printf("max_threads_per_block = %i\n",max_threads_per_block); printf("max_blocks_per_proc = %i\n",max_blocks_per_proc); fflush(stdout); #endif //space for 100 types in the scene classMemSize = sizeof(jint)*100; gc_space_size = 1024; to_space_size -= (num_blocks * sizeof(jlong)); to_space_size -= (num_blocks * sizeof(jlong)); to_space_size -= gc_space_size; to_space_size -= free_space; to_space_size -= classMemSize; //to_space_size -= textureMemSize; bufferSize = to_space_size; status = cuMemHostAlloc(&toSpace, to_space_size, 0); CHECK_STATUS(env,"toSpace memory allocation failed",status) status = cuMemAlloc(&gpuToSpace, to_space_size); CHECK_STATUS(env,"gpuToSpace memory allocation failed",status) status = cuMemAlloc(&gpuClassMemory, classMemSize); CHECK_STATUS(env,"gpuClassMemory memory allocation failed",status) /* status = cuMemHostAlloc(&textureMemory, textureMemSize, 0); if (CUDA_SUCCESS != status) { printf("error in cuMemHostAlloc textureMemory %d\n", status); } status = cuMemAlloc(&gpuTexture, textureMemSize); if (CUDA_SUCCESS != status) { printf("error in cuMemAlloc gpuTexture %d\n", status); } */ status = cuMemHostAlloc(&handlesMemory, num_blocks * sizeof(jlong), CU_MEMHOSTALLOC_WRITECOMBINED); CHECK_STATUS(env,"handlesMemory memory allocation failed",status) status = cuMemAlloc(&gpuHandlesMemory, num_blocks * sizeof(jlong)); CHECK_STATUS(env,"gpuHandlesMemory memory allocation failed",status) status = cuMemHostAlloc(&exceptionsMemory, num_blocks * sizeof(jlong), 0); CHECK_STATUS(env,"exceptionsMemory memory allocation failed",status) status = cuMemAlloc(&gpuExceptionsMemory, num_blocks * sizeof(jlong)); CHECK_STATUS(env,"gpuExceptionsMemory memory allocation failed",status) status = cuMemAlloc(&gcInfoSpace, gc_space_size); CHECK_STATUS(env,"gcInfoSpace memory allocation failed",status) status = cuMemAlloc(&gpuHeapEndPtr, 8); CHECK_STATUS(env,"gpuHeapEndPtr memory allocation failed",status) status = cuMemAlloc(&gpuBufferSize, 8); CHECK_STATUS(env,"gpuBufferSize memory allocation failed",status) thisRefClass = (*env)->GetObjectClass(env, this_ref); setLongField(env, this_ref, "m_ToSpaceAddr", (jlong) toSpace); setLongField(env, this_ref, "m_GpuToSpaceAddr", (jlong) gpuToSpace); setLongField(env, this_ref, "m_TextureAddr", (jlong) textureMemory); setLongField(env, this_ref, "m_GpuTextureAddr", (jlong) gpuTexture); setLongField(env, this_ref, "m_HandlesAddr", (jlong) handlesMemory); setLongField(env, this_ref, "m_GpuHandlesAddr", (jlong) gpuHandlesMemory); setLongField(env, this_ref, "m_ExceptionsHandlesAddr", (jlong) exceptionsMemory); setLongField(env, this_ref, "m_GpuExceptionsHandlesAddr", (jlong) gpuExceptionsMemory); setLongField(env, this_ref, "m_ToSpaceSize", (jlong) bufferSize); setLongField(env, this_ref, "m_MaxGridDim", (jlong) maxGridDim); setLongField(env, this_ref, "m_NumMultiProcessors", (jlong) numMultiProcessors); }
/* * Class: edu_syr_pcpratts_rootbeer_runtime2_cuda_CudaRuntime2 * Method: setup * Signature: ()V */ JNIEXPORT void JNICALL Java_edu_syr_pcpratts_rootbeer_runtime2_cuda_CudaRuntime2_setup (JNIEnv *env, jobject this_ref, jint max_blocks_per_proc, jint max_threads_per_block, jint free_space) { int status; jint num_blocks; int deviceCount = 0; size_t f_mem; size_t t_mem; size_t to_space_size; //size_t free_space = 1530L*1024L*1024L; textureMemSize = 1; status = cuInit(0); if (CUDA_SUCCESS != status) { printf("error in cuInit\n"); } status = cuDeviceGetCount(&deviceCount); if (CUDA_SUCCESS != status) { printf("error in cuDeviceGet\n"); } getBestDevice(); status = cuCtxCreate(&cuContext, CU_CTX_MAP_HOST, cuDevice); if (CUDA_SUCCESS != status) { printf("error in cuCtxCreate %d\n", status); } // ddb - not using this as this returns the total memory not the free memory //to_space_size = memSize(); cuMemGetInfo(&f_mem, &t_mem); to_space_size = f_mem; num_blocks = numMultiProcessors * max_threads_per_block * max_blocks_per_proc; #if DEBUG printf("Memory: %i(MB)/%i(MB) (Free/Total)\n",f_mem/1024/1024, t_mem/1024/1024); printf("num_blocks = %i\n",num_blocks); printf("numMultiProcessors = %i\n",numMultiProcessors); printf("max_threads_per_block = %i\n",max_threads_per_block); printf("max_blocks_per_proc = %i\n",max_blocks_per_proc); fflush(stdout); #endif gc_space_size = 1024; to_space_size -= (num_blocks * sizeof(jlong)); to_space_size -= (num_blocks * sizeof(jlong)); to_space_size -= gc_space_size; to_space_size -= free_space; //to_space_size -= textureMemSize; bufferSize = to_space_size; status = cuMemHostAlloc(&toSpace, to_space_size, 0); if (CUDA_SUCCESS != status) { throw_cuda_errror_exception(env, "toSpace memory allocation failed", status); return; } status = cuMemAlloc(&gpuToSpace, to_space_size); if (CUDA_SUCCESS != status) { throw_cuda_errror_exception(env, "gpuToSpace memory allocation failed", status); return; } /* status = cuMemHostAlloc(&textureMemory, textureMemSize, 0); if (CUDA_SUCCESS != status) { printf("error in cuMemHostAlloc textureMemory %d\n", status); } status = cuMemAlloc(&gpuTexture, textureMemSize); if (CUDA_SUCCESS != status) { printf("error in cuMemAlloc gpuTexture %d\n", status); } */ status = cuMemHostAlloc(&handlesMemory, num_blocks * sizeof(jlong), CU_MEMHOSTALLOC_WRITECOMBINED); if (CUDA_SUCCESS != status) { throw_cuda_errror_exception(env, "handlesMemory memory allocation failed", status); return; } status = cuMemAlloc(&gpuHandlesMemory, num_blocks * sizeof(jlong)); if (CUDA_SUCCESS != status) { throw_cuda_errror_exception(env, "gpuHandlesMemory memory allocation failed", status); return; } status = cuMemHostAlloc(&exceptionsMemory, num_blocks * sizeof(jlong), 0); if (CUDA_SUCCESS != status) { throw_cuda_errror_exception(env, "exceptionsMemory memory allocation failed", status); return; } status = cuMemAlloc(&gpuExceptionsMemory, num_blocks * sizeof(jlong)); if (CUDA_SUCCESS != status) { throw_cuda_errror_exception(env, "gpuExceptionsMemory memory allocation failed", status); return; } status = cuMemAlloc(&gcInfoSpace, gc_space_size); if (CUDA_SUCCESS != status) { throw_cuda_errror_exception(env, "gcInfoSpace memory allocation failed", status); return; } status = cuMemAlloc(&gpuHeapEndPtr, 8); if (CUDA_SUCCESS != status) { throw_cuda_errror_exception(env, "gpuHeapEndPtr memory allocation failed", status); return; } status = cuMemAlloc(&gpuBufferSize, 8); if (CUDA_SUCCESS != status) { throw_cuda_errror_exception(env, "gpuBufferSize memory allocation failed", status); return; } thisRefClass = (*env)->GetObjectClass(env, this_ref); setLongField(env, this_ref, "m_ToSpaceAddr", (jlong) toSpace); setLongField(env, this_ref, "m_GpuToSpaceAddr", (jlong) gpuToSpace); setLongField(env, this_ref, "m_TextureAddr", (jlong) textureMemory); setLongField(env, this_ref, "m_GpuTextureAddr", (jlong) gpuTexture); setLongField(env, this_ref, "m_HandlesAddr", (jlong) handlesMemory); setLongField(env, this_ref, "m_GpuHandlesAddr", (jlong) gpuHandlesMemory); setLongField(env, this_ref, "m_ExceptionsHandlesAddr", (jlong) exceptionsMemory); setLongField(env, this_ref, "m_GpuExceptionsHandlesAddr", (jlong) gpuExceptionsMemory); setLongField(env, this_ref, "m_ToSpaceSize", (jlong) bufferSize); setLongField(env, this_ref, "m_MaxGridDim", (jlong) maxGridDim); setLongField(env, this_ref, "m_NumMultiProcessors", (jlong) numMultiProcessors); }
//load model basic information Model_info * load_modelinfo(char *filename) { CUresult res; FILE *file; //File errno_t err; //err ( for fopen) Model_info *MI=(Model_info*)malloc(sizeof(Model_info)); //Model information //fopen //if( (err = fopen_s( &file,filename, "r"))!=0 ) if( (file=fopen(filename, "r"))==NULL ) { printf("Model information file not found \n"); exit(-1); } FLOAT t1,t2,t3,t4; int b; //load basic information if( sizeof(FLOAT) == sizeof(double) ){ b =fscanf(file,"%lf,",&t1); MI->numcomponent=(int)t1; //number of components b =fscanf(file,"%lf,",&t1); MI->sbin=(int)t1; //sbin b =fscanf(file,"%lf,",&t1); MI->interval=(int)t1; //interval b =fscanf(file,"%lf,",&t1); MI->max_Y=(int)t1; //max_Y b =fscanf(file,"%lf,",&t1); MI->max_X=(int)t1; //max_X }else{ b =fscanf(file,"%f,",&t1); MI->numcomponent=(int)t1; //number of components b =fscanf(file,"%f,",&t1); MI->sbin=(int)t1; //sbin b =fscanf(file,"%f,",&t1); MI->interval=(int)t1; //interval b =fscanf(file,"%f,",&t1); MI->max_Y=(int)t1; //max_Y b =fscanf(file,"%f,",&t1); MI->max_X=(int)t1; //max_X } //root filter information MI->ridx = (int*)malloc(sizeof(int)*MI->numcomponent); MI->oidx = (int*)malloc(sizeof(int)*MI->numcomponent); MI->offw = (FLOAT*)malloc(sizeof(FLOAT)*MI->numcomponent); MI->rsize = (int*)malloc(sizeof(int)*MI->numcomponent*2); MI->numpart = (int*)malloc(sizeof(int)*MI->numcomponent); //part filter information MI->pidx = (int**)malloc(sizeof(int*)*MI->numcomponent); MI->didx = (int**)malloc(sizeof(int*)*MI->numcomponent); MI->psize = (int**)malloc(sizeof(int*)*MI->numcomponent); for(int ii=0;ii<MI->numcomponent;ii++) //LOOP (component) { if(sizeof(FLOAT)==sizeof(double)) { b =fscanf(file,"%lf,",&t1); MI->ridx[ii]=(int)t1-1; //root index b =fscanf(file,"%lf,",&t1); MI->oidx[ii]=(int)t1-1; //offset index b =fscanf(file,"%lf,",&t1); MI->offw[ii]=t1; //offset weight (FLOAT) b =fscanf(file,"%lf,%lf,",&t1,&t2); MI->rsize[ii*2]=(int)t1; //rsize (Y) MI->rsize[ii*2+1]=(int)t2; //rsize (X) b =fscanf(file,"%lf,",&t1); MI->numpart[ii]=(int)t1; //number of part filter }else{ b =fscanf(file,"%f,",&t1); MI->ridx[ii]=(int)t1-1; //root index b =fscanf(file,"%f,",&t1); MI->oidx[ii]=(int)t1-1; //offset index b =fscanf(file,"%f,",&t1); MI->offw[ii]=t1; //offset weight (FLOAT) b =fscanf(file,"%f,%f,",&t1,&t2); MI->rsize[ii*2]=(int)t1; //rsize (Y) MI->rsize[ii*2+1]=(int)t2; //rsize (X) b =fscanf(file,"%f,",&t1); MI->numpart[ii]=(int)t1; //number of part filter } MI->pidx[ii]=(int*)malloc(sizeof(int)*MI->numpart[ii]); MI->didx[ii]=(int*)malloc(sizeof(int)*MI->numpart[ii]); MI->psize[ii]=(int*)malloc(sizeof(int)*MI->numpart[ii]*2); for(int jj=0;jj<MI->numpart[ii];jj++) //LOOP (part-filter) { if(sizeof(FLOAT)==sizeof(double)) { b =fscanf(file,"%lf,",&t1); MI->pidx[ii][jj]=(int)t1-1; //part index b =fscanf(file,"%lf,",&t1); MI->didx[ii][jj]=(int)t1-1; //define-index of part b =fscanf(file,"%lf,%lf,",&t1,&t2); MI->psize[ii][jj*2]=(int)t1; MI->psize[ii][jj*2+1]=(int)t2; }else{ b =fscanf(file,"%f,",&t1); MI->pidx[ii][jj]=(int)t1-1; //part index b =fscanf(file,"%f,",&t1); MI->didx[ii][jj]=(int)t1-1; //define-index of part b =fscanf(file,"%f,%f,",&t1,&t2); MI->psize[ii][jj*2]=(int)t1; MI->psize[ii][jj*2+1]=(int)t2; } } } //get defs information if(sizeof(FLOAT)==sizeof(double)) { b =fscanf(file,"%lf,",&t1); }else{ b =fscanf(file,"%f,",&t1); } int DefL = int(t1); //MI->def = (FLOAT*)malloc(sizeof(FLOAT)*DefL*4); res = cuMemHostAlloc((void **)&(MI->def), sizeof(FLOAT)*DefL*4, CU_MEMHOSTALLOC_DEVICEMAP); if(res != CUDA_SUCCESS) { printf("cuMemHostAlloc(MI->def) failed: res = %s\n", conv(res)); exit(1); } sum_size_def_array = sizeof(FLOAT)*DefL*4; MI->anchor = (int*)malloc(sizeof(int)*DefL*2); for (int kk=0;kk<DefL;kk++) { if(sizeof(FLOAT)==sizeof(double)) { b =fscanf(file,"%lf,%lf,%lf,%lf,",&t1,&t2,&t3,&t4); MI->def[kk*4]=t1; MI->def[kk*4+1]=t2; MI->def[kk*4+2]=t3; MI->def[kk*4+3]=t4; b =fscanf(file,"%lf,%lf,",&t1,&t2); MI->anchor[kk*2]=(int)t1; MI->anchor[kk*2+1]=(int)t2; }else{ b =fscanf(file,"%f,%f,%f,%f,",&t1,&t2,&t3,&t4); MI->def[kk*4]=t1; MI->def[kk*4+1]=t2; MI->def[kk*4+2]=t3; MI->def[kk*4+3]=t4; b =fscanf(file,"%f,%f,",&t1,&t2); MI->anchor[kk*2]=(int)t1; MI->anchor[kk*2+1]=(int)t2; } } //get least_square information MI->x1 = (FLOAT **)malloc(sizeof(FLOAT*)*MI->numcomponent); MI->x2 = (FLOAT **)malloc(sizeof(FLOAT*)*MI->numcomponent); MI->y1 = (FLOAT **)malloc(sizeof(FLOAT*)*MI->numcomponent); MI->y2 = (FLOAT **)malloc(sizeof(FLOAT*)*MI->numcomponent); for(int ii=0;ii<MI->numcomponent;ii++) { int GL = 1+2*(1+MI->numpart[ii]); MI->x1[ii] =(FLOAT *)malloc(sizeof(FLOAT)*GL); MI->y1[ii] =(FLOAT *)malloc(sizeof(FLOAT)*GL); MI->x2[ii] =(FLOAT *)malloc(sizeof(FLOAT)*GL); MI->y2[ii] =(FLOAT *)malloc(sizeof(FLOAT)*GL); if(sizeof(FLOAT)==sizeof(double)) { for (int jj=0;jj<GL;jj++){b =fscanf(file,"%lf,",&t1); MI->x1[ii][jj]=t1;} for (int jj=0;jj<GL;jj++){b =fscanf(file,"%lf,",&t1); MI->y1[ii][jj]=t1;} for (int jj=0;jj<GL;jj++){b =fscanf(file,"%lf,",&t1); MI->x2[ii][jj]=t1;} for (int jj=0;jj<GL;jj++){b =fscanf(file,"%lf,",&t1); MI->y2[ii][jj]=t1;} }else{ for (int jj=0;jj<GL;jj++){b =fscanf(file,"%f,",&t1); MI->x1[ii][jj]=t1;} for (int jj=0;jj<GL;jj++){b =fscanf(file,"%f,",&t1); MI->y1[ii][jj]=t1;} for (int jj=0;jj<GL;jj++){b =fscanf(file,"%f,",&t1); MI->x2[ii][jj]=t1;} for (int jj=0;jj<GL;jj++){b =fscanf(file,"%f,",&t1); MI->y2[ii][jj]=t1;} } } MI->padx=(int)ceil((double)MI->max_X/2.0+1.0); //padx MI->pady=(int)ceil((double)MI->max_Y/2.0+1.0); //padY MI->ini=true; //fclose fclose(file); return(MI); }
Partfilters *load_partfilter(char *filename) { FILE *file; //File errno_t err; //err ( for fopen) CUresult res; Partfilters *PF=(Partfilters*)malloc(sizeof(Partfilters)); //Part filter //fopen //if( (err = fopen_s( &file,filename, "r"))!=0 ) if( (file=fopen(filename, "r"))==NULL ) { printf("Part-filter file not found \n"); exit(-1); } FLOAT t1,t2,t3; FLOAT dummy_t1, dummy_t2, dummy_t3; // variable for dummy scan in order to adjust the location of file-pointer int b; if(sizeof(FLOAT)==sizeof(double)) { b =fscanf(file,"%lf,",&t1); }else{ b =fscanf(file,"%f,",&t1); } PF->NoP=(int)t1; //number of part filter PF->part_size=(int**)malloc(sizeof(int*)*PF->NoP); //size of part filter PF->partfilter=(FLOAT**)malloc(sizeof(FLOAT*)*PF->NoP); //weight of part filter PF->part_partner=(int*)malloc(sizeof(int)*PF->NoP); //symmetric information of part PF->part_sym=(int*)malloc(sizeof(int)*PF->NoP); //symmetric information of part /* keep file pointer location */ long before_loop_location = ftell(file); int SUM_SIZE_PART = 0; for (int ii=0;ii<PF->NoP;ii++) { if(sizeof(FLOAT)==sizeof(double)) { b =fscanf(file,"%lf,%lf,%lf,",&t1,&t2,&t3); //number of components }else{ b =fscanf(file,"%f,%f,%f,",&t1,&t2,&t3); //number of components } PF->part_size[ii]=(int*)malloc(sizeof(int)*3); PF->part_size[ii][0]=(int)t1; PF->part_size[ii][1]=(int)t2; PF->part_size[ii][2]=(int)t3; //printf("***************%f %f %f\n",t1,t2,t3); int NUMB=PF->part_size[ii][0]*PF->part_size[ii][1]*PF->part_size[ii][2]; #ifdef ORIGINAL PF->partfilter[ii]=(FLOAT*)malloc(sizeof(FLOAT)*NUMB); //weight of root filter #else #ifdef SEPARETE_MEM res = cuMemHostAlloc((void **)&(PF->partfilter[ii]), sizeof(FLOAT)*NUMB, CU_MEMHOSTALLOC_DEVICEMAP); if(res != CUDA_SUCCESS){ printf("cuMemHostAlloc(PF->partfilter) failed: res = %s\n", conv(res)); exit(1); } #else SUM_SIZE_PART += NUMB*sizeof(FLOAT); #endif #endif /* adjust the location of file-pointer */ for(int jj=0; jj<NUMB; jj++) { if(sizeof(FLOAT)==sizeof(double)) { fscanf(file,"%lf,",&dummy_t1); // this is dummy scan }else{ fscanf(file,"%f,",&dummy_t1); // this is dummy scan } } if(sizeof(FLOAT)==sizeof(double)) { fscanf(file,"%lf,",&dummy_t1); // this is dummy scan }else{ fscanf(file,"%f,",&dummy_t1); // this is dummy scan } } #ifndef ORIGINAL #ifndef SEPARETE_MEM /* allocate memory region for part in a lump */ FLOAT *dst_part; res = cuMemHostAlloc((void **)&dst_part, SUM_SIZE_PART, CU_MEMHOSTALLOC_DEVICEMAP); if(res != CUDA_SUCCESS){ printf("cuMemHostAlloc(dst_part) failed: res = %s\n", conv(res)); exit(1); } /* distribution */ unsigned long long int pointer = (unsigned long long int)dst_part; for(int ii=0; ii<PF->NoP; ii++) { PF->partfilter[ii] = (FLOAT *)pointer; int NUMB=PF->part_size[ii][0]*PF->part_size[ii][1]*PF->part_size[ii][2]; pointer += NUMB*sizeof(FLOAT); } #endif #endif /* reset the location of file-pointer */ fseek(file, before_loop_location, SEEK_SET); for(int ii=0; ii<PF->NoP; ii++) { int NUMB=PF->part_size[ii][0]*PF->part_size[ii][1]*PF->part_size[ii][2]; /* adjust the location of file-pointer */ if(sizeof(FLOAT)==sizeof(double)) { fscanf(file,"%lf,%lf,%lf,",&dummy_t1,&dummy_t2,&dummy_t3); // this is dummy scan }else{ fscanf(file,"%f,%f,%f,",&dummy_t1,&dummy_t2,&dummy_t3); // this is dummy scan } for (int jj=0;jj<NUMB;jj++) { if(sizeof(FLOAT)==sizeof(double)) { b =fscanf(file,"%lf,",&t1); }else{ b =fscanf(file,"%f,",&t1); } PF->partfilter[ii][jj]=t1; } if(sizeof(FLOAT)==sizeof(double)) { b =fscanf(file,"%lf,",&t1); }else{ b =fscanf(file,"%f,",&t1); } PF->part_partner[ii]=(int)t1; //symmetric information of part if(PF->part_partner[ii]==0) PF->part_sym[ii]=1; else PF->part_sym[ii]=0; } //fclose fclose(file); return(PF); }