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https://gitlab.com/scemama/qp_plugins_scemama.git
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106 lines
4.2 KiB
C
106 lines
4.2 KiB
C
#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <omp.h>
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#include <cublas_v2.h>
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#include <cuda_runtime.h>
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#include "gpu.h"
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#define BLOCK_SIZE 16
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gpu_data* gpu_init(
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int nO, int nV, int cholesky_mo_num,
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double* cc_space_v_oo_chol, double* cc_space_v_ov_chol,
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double* cc_space_v_vo_chol, double* cc_space_v_vv_chol,
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double* cc_space_v_oooo, double* cc_space_v_vooo,
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double* cc_space_v_oovv, double* cc_space_v_vvoo,
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double* cc_space_v_oovo, double* cc_space_v_ovvo,
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double* cc_space_v_ovoo, double* cc_space_f_vo)
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{
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int ngpus = 1;
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cudaGetDeviceCount(&ngpus);
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gpu_data* data = (gpu_data*) malloc (ngpus*sizeof(gpu_data));
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#pragma omp parallel num_threads(ngpus)
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{
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int lda;
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int igpu = omp_get_thread_num();
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cudaSetDevice(igpu);
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cublasHandle_t handle;
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cublasCreate(&handle);
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double* d_cc_space_v_oo_chol;
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lda = cholesky_mo_num * nO;
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cudaMalloc((void **)&d_cc_space_v_oo_chol, lda * nO * sizeof(double));
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cublasSetMatrix(cholesky_mo_num*nO, nO, sizeof(double), cc_space_v_oo_chol, lda, d_cc_space_v_oo_chol, lda);
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double* d_cc_space_v_ov_chol;
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lda = cholesky_mo_num * nO;
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cudaMalloc((void **)&d_cc_space_v_ov_chol, lda * nV * sizeof(double));
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cublasSetMatrix(cholesky_mo_num*nO, nV, sizeof(double), cc_space_v_ov_chol, lda, d_cc_space_v_ov_chol, lda);
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double* d_cc_space_v_vo_chol;
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lda = cholesky_mo_num * nV;
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cudaMalloc((void **)&d_cc_space_v_vo_chol, lda * nO * sizeof(double));
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cublasSetMatrix(cholesky_mo_num*nV, nO, sizeof(double), cc_space_v_vo_chol, lda, d_cc_space_v_vo_chol, lda);
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double* d_cc_space_v_vv_chol;
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lda = cholesky_mo_num * nV;
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cudaMalloc((void **)&d_cc_space_v_vv_chol, lda * nV * sizeof(double));
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cublasSetMatrix(cholesky_mo_num*nV, nV, sizeof(double), cc_space_v_vv_chol, lda, d_cc_space_v_vv_chol, lda);
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double* d_cc_space_v_oooo;
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cudaMalloc((void**)&d_cc_space_v_oooo, nO*nO*nO*nO*sizeof(double));
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cublasSetMatrix(nO*nO, nO*nO, sizeof(double), cc_space_v_oooo, nO*nO, d_cc_space_v_oooo, nO*nO);
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double* d_cc_space_v_vooo;
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cudaMalloc((void**)&d_cc_space_v_vooo, nV*nO*nO*nO*sizeof(double));
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cublasSetMatrix(nV*nO, nO*nO, sizeof(double), cc_space_v_vooo, nV*nO, d_cc_space_v_vooo, nV*nO);
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double* d_cc_space_v_oovv;
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cudaMalloc((void**)&d_cc_space_v_oovv, nO*nO*nV*nV*sizeof(double));
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cublasSetMatrix(nO*nO, nV*nV, sizeof(double), cc_space_v_oovv, nO*nO, d_cc_space_v_oovv, nO*nO);
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double* d_cc_space_v_vvoo;
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cudaMalloc((void**)&d_cc_space_v_vvoo, nV*nV*nO*nO*sizeof(double));
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cublasSetMatrix(nV*nV, nO*nO, sizeof(double), cc_space_v_vvoo, nV*nV, d_cc_space_v_vvoo, nV*nV);
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double* d_cc_space_v_oovo;
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lda = nO*nO;
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cudaMalloc((void **)&d_cc_space_v_oovo, nO*nO*nV*nO * sizeof(double));
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cublasSetMatrix(lda, nV*nO, sizeof(double), cc_space_v_oovo, lda, d_cc_space_v_oovo, lda);
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double* d_cc_space_v_ovvo;
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lda = nO*nV;
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cudaMalloc((void **)&d_cc_space_v_ovvo, nO*nV*nV*nO * sizeof(double));
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cublasSetMatrix(lda, nV*nO, sizeof(double), cc_space_v_ovvo, lda, d_cc_space_v_ovvo, lda);
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double* d_cc_space_v_ovoo;
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lda = nO*nV;
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cudaMalloc((void **)&d_cc_space_v_ovoo, nO*nV*nO*nO * sizeof(double));
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cublasSetMatrix(lda, nO*nO, sizeof(double), cc_space_v_ovoo, lda, d_cc_space_v_ovoo, lda);
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double* d_cc_space_f_vo;
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cudaMalloc((void**)&d_cc_space_f_vo, nV*nO*sizeof(double));
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cublasSetMatrix(nV, nO, sizeof(double), cc_space_f_vo, nV, d_cc_space_f_vo, nV);
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data[igpu].cc_space_v_oo_chol = d_cc_space_v_oo_chol;
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data[igpu].cc_space_v_ov_chol = d_cc_space_v_ov_chol;
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data[igpu].cc_space_v_vo_chol = d_cc_space_v_vo_chol;
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data[igpu].cc_space_v_vv_chol = d_cc_space_v_vv_chol;
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data[igpu].cc_space_v_oooo = d_cc_space_v_oooo;
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data[igpu].cc_space_v_vooo = d_cc_space_v_vooo;
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data[igpu].cc_space_v_oovv = d_cc_space_v_oovv;
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data[igpu].cc_space_v_vvoo = d_cc_space_v_vvoo;
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data[igpu].cc_space_v_oovo = d_cc_space_v_oovo;
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data[igpu].cc_space_v_ovvo = d_cc_space_v_ovvo;
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data[igpu].cc_space_v_ovoo = d_cc_space_v_ovoo;
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data[igpu].cc_space_f_vo = d_cc_space_f_vo;
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}
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return data;
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}
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