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mirror of https://gitlab.com/scemama/qp_plugins_scemama.git synced 2024-11-07 14:43:41 +01:00
qp_plugins_scemama/devel/ccsd_gpu/gpu.c
2023-07-17 00:29:39 +02:00

304 lines
9.8 KiB
C

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <omp.h>
#include <cublas_v2.h>
#include <cuda_runtime.h>
#define BLOCK_SIZE 16
void dgemm_(char*, char*, int*, int*, int*, double*, double*, int*, double*, int*,
double*, double*, int*);
void gpu_dgemm(char transa, char transb, int m, int n, int k, double alpha,
double* A, int lda, double* B, int ldb, double beta, double* C, int ldc)
{
cublasHandle_t handle;
cublasCreate(&handle);
double * d_A;
double * d_B;
double * d_C;
cublasOperation_t ta, tb;
if (transa == 'N') {
cudaMalloc((void**)&d_A, lda*k*sizeof(double));
cublasSetMatrix(m, k, sizeof(double), A, lda, d_A, lda);
ta = CUBLAS_OP_N;
} else {
cudaMalloc((void**)&d_A, lda*m*sizeof(double));
cublasSetMatrix(k, m, sizeof(double), A, lda, d_A, lda);
ta = CUBLAS_OP_T;
}
if (transb == 'N') {
cudaMalloc((void**)&d_B, ldb*n*sizeof(double));
cublasSetMatrix(k, n, sizeof(double), B, ldb, d_B, ldb);
tb = CUBLAS_OP_N;
} else {
cudaMalloc((void**)&d_B, ldb*k*sizeof(double));
cublasSetMatrix(n, k, sizeof(double), B, ldb, d_B, ldb);
tb = CUBLAS_OP_T;
}
cudaMalloc((void**)&d_C, ldc*n*sizeof(double));
if (beta != 0.) {
cublasSetMatrix(m, n, sizeof(double), C, ldc, d_C, ldc);
}
cublasDgemm(handle, ta, tb, m, n, k, &alpha, d_A, lda, d_B, ldb, &beta, d_C, ldc);
cublasGetMatrix(m, n, sizeof(double), d_C, ldc, C, ldc);
cudaFree(d_A);
cudaFree(d_B);
cudaFree(d_C);
cublasDestroy(handle);
}
void compute_r2_space_chol_gpu(const int nO, const int nV, const int cholesky_mo_num,
double* t1,
double* tau,
double* cc_space_v_vo_chol,
double* cc_space_v_vv_chol,
double* cc_space_v_oooo,
double* cc_space_v_vooo,
double* cc_space_v_oovv,
double* cc_space_v_vvoo,
double* r2)
{
double* d_tau;
double* d_r2;
double* d_cc_space_v_vv_chol;
double* d_cc_space_v_vo_chol;
double* d_t1;
double* d_tmp_cc;
int ngpus;
cudaGetDeviceCount(&ngpus);
#pragma omp parallel num_threads(ngpus)
{
int m,n,k, lda, ldb, ldc;
double alpha, beta;
double* A;
double* B;
double* C;
int ithread = omp_get_thread_num();
int igpu = ithread ;
cudaSetDevice(igpu);
cublasHandle_t handle;
cublasCreate(&handle);
double* d_tau;
double* d_r2;
double* d_cc_space_v_vv_chol;
double* d_cc_space_v_vo_chol;
double* d_t1;
double* d_tmp_cc;
lda = nO * nO;
cudaMalloc((void **)&d_tau, lda * nV * nV * sizeof(double));
cublasSetMatrix(nO*nO, nV*nV, sizeof(double), tau, lda, d_tau, lda);
lda = nO * nO;
cudaMalloc((void **)&d_r2, lda * nV * nV * sizeof(double));
memset(r2, 0, nO*nO*nV*nV*sizeof(double));
cublasSetMatrix(nO*nO, nV*nV, sizeof(double), r2, lda, d_r2, lda);
lda = cholesky_mo_num * nV;
cudaMalloc((void **)&d_cc_space_v_vv_chol, lda * nV * sizeof(double));
cublasSetMatrix(cholesky_mo_num*nV, nV, sizeof(double), cc_space_v_vv_chol, lda, d_cc_space_v_vv_chol, lda);
lda = cholesky_mo_num * nV;
cudaMalloc((void **)&d_cc_space_v_vo_chol, lda * nO * sizeof(double));
cublasSetMatrix(cholesky_mo_num*nV, nO, sizeof(double), cc_space_v_vo_chol, lda, d_cc_space_v_vo_chol, lda);
lda = nO;
cudaMalloc((void **)&d_t1, nO * nV * sizeof(double));
cublasSetMatrix(nO, nV, sizeof(double), t1, lda, d_t1, lda);
#pragma omp sections
{
#pragma omp section
{
double* d_cc_space_v_vooo;
cudaMalloc((void**)&d_cc_space_v_vooo, nV*nO*nO*nO*sizeof(double));
cublasSetMatrix(nV*nO, nO*nO, sizeof(double), cc_space_v_vooo, nV*nO, d_cc_space_v_vooo, nV*nO);
double* d_Y_oooo;
cudaMalloc((void**)&d_Y_oooo, nO*nO*nO*nO*sizeof(double));
alpha = 1.0;
beta = 0.0;
m=nO ; n=nO*nO*nO; k=nV;
A = d_t1 ; lda = nO;
B = d_cc_space_v_vooo ; ldb = nV;
C = d_Y_oooo; ldc = nO;
cublasDgemm(handle, CUBLAS_OP_N, CUBLAS_OP_N, m, n, k, &alpha, A, lda, B, ldb, &beta, C, ldc);
cudaFree(d_cc_space_v_vooo);
double* d_A1;
cudaMalloc((void**)&d_A1, nO*nO*nO*nO*sizeof(double));
double* d_cc_space_v_oooo;
cudaMalloc((void**)&d_cc_space_v_oooo, nO*nO*nO*nO*sizeof(double));
cublasSetMatrix(nO*nO, nO*nO, sizeof(double), cc_space_v_oooo, nO*nO, d_cc_space_v_oooo, nO*nO);
alpha = 1.0;
beta = 1.0;
A = d_cc_space_v_oooo; lda = nO*nO;
B = d_Y_oooo; ldb = nO*nO;
C = d_A1; ldc = nO*nO;
cublasDgeam(handle, CUBLAS_OP_N, CUBLAS_OP_N, nO*nO, nO*nO, &alpha, A, lda, &beta, B, ldb, C, ldc);
for (int j=0 ; j<nO ; ++j) {
for (int i=0 ; i<nO ; ++i) {
alpha = 1.0;
beta = 1.0;
A = &(d_A1[nO*nO*(i+nO*j)]); lda = nO;
B = &(d_Y_oooo[nO*nO*(j+nO*i)]); ldb = nO;
C = &(d_A1[nO*nO*(i+nO*j)]); ldc = nO;
cublasDgeam(handle, CUBLAS_OP_N, CUBLAS_OP_T, nO, nO, &alpha, A, lda, &beta, B, ldb, C, ldc);
}
}
cudaFree(d_Y_oooo);
double* d_cc_space_v_vvoo;
cudaMalloc((void**)&d_cc_space_v_vvoo, nV*nV*nO*nO*sizeof(double));
cublasSetMatrix(nV*nV, nO*nO, sizeof(double), cc_space_v_vvoo, nV*nV, d_cc_space_v_vvoo, nV*nV);
alpha = 1.0;
beta = 1.0;
m=nO*nO ; n=nO*nO; k=nV*nV;
A = d_tau ; lda = nO*nO;
B = d_cc_space_v_vvoo ; ldb = nV*nV;
C = d_A1; ldc = nO*nO;
cublasDgemm(handle, CUBLAS_OP_N, CUBLAS_OP_N, m, n, k, &alpha, A, lda, B, ldb, &beta, C, ldc);
cudaFree(d_cc_space_v_vvoo);
alpha = 1.0;
beta = 0.0;
m=nO*nO ; n=nV*nV; k=nO*nO;
A = d_A1 ; lda = nO*nO;
B = d_tau ; ldb = nO*nO;
C = d_r2; ldc = nO*nO;
cublasDgemm(handle, CUBLAS_OP_N, CUBLAS_OP_N, m, n, k, &alpha, A, lda, B, ldb, &beta, C, ldc);
cudaFree(d_A1);
}
}
lda = cholesky_mo_num * nV;
cudaMalloc((void **)&d_tmp_cc, lda * nV * sizeof(double));
alpha=1.0; beta=0.0;
m=cholesky_mo_num*nV; n=nV; k=nO;
A = d_cc_space_v_vo_chol; B = d_t1; C = d_tmp_cc;
cublasDgemm(handle, CUBLAS_OP_N, CUBLAS_OP_N, m, n, k, &alpha, A, m, B, k, &beta, C, m);
double* d_tmp_cc2;
cudaMalloc((void **)&d_tmp_cc2, cholesky_mo_num*nV*sizeof(double));
double* d_B1;
cudaMalloc((void**)&d_B1, nV*nV*BLOCK_SIZE*sizeof(double));
double* d_tmpB1;
cudaMalloc((void**)&d_tmpB1, nV*BLOCK_SIZE*nV*sizeof(double));
#pragma omp for
for (size_t gam=0 ; gam<nV ; ++gam)
{
double* d_tmp_cc_ = &(d_tmp_cc[gam*nV*cholesky_mo_num]);
double* d_cc_space_v_vv_chol_ = &(d_cc_space_v_vv_chol[gam*nV*cholesky_mo_num]);
alpha = 1.0;
beta = -1.0;
A = d_cc_space_v_vv_chol_; lda = cholesky_mo_num;
B = d_tmp_cc_; ldb = cholesky_mo_num;
C = d_tmp_cc2 ; ldc = cholesky_mo_num;
cublasDgeam(handle, CUBLAS_OP_N, CUBLAS_OP_N, cholesky_mo_num, nV, &alpha, A, lda, &beta, B, ldb, C, ldc);
for (size_t iblock=0 ; iblock<nV ; iblock += BLOCK_SIZE)
{
const size_t mbs = BLOCK_SIZE < nV-iblock ? BLOCK_SIZE : nV-iblock;
alpha=-1.0; beta=0.0;
m=nV*mbs; n=nV; k=cholesky_mo_num;
A=&(d_tmp_cc[iblock*cholesky_mo_num*nV]); lda=cholesky_mo_num;
B=d_cc_space_v_vv_chol_; ldb=cholesky_mo_num;
C=d_tmpB1 ; ldc=nV*BLOCK_SIZE;
cublasDgemm(handle, CUBLAS_OP_T, CUBLAS_OP_N, m, n, k, &alpha, A, lda, B, lda, &beta, C, ldc);
alpha=1.0; beta=1.0;
m=nV*mbs; n=nV; k=cholesky_mo_num;
A=&(d_cc_space_v_vv_chol[iblock*cholesky_mo_num*nV]); lda=cholesky_mo_num;
B=d_tmp_cc2; ldb=cholesky_mo_num;
C=d_tmpB1 ; ldc=nV*BLOCK_SIZE;
cublasDgemm(handle, CUBLAS_OP_T, CUBLAS_OP_N, m, n, k, &alpha, A, lda, B, lda, &beta, C, ldc);
for (size_t bet=iblock ; bet<(nV < iblock+BLOCK_SIZE ? nV : iblock+BLOCK_SIZE) ; ++bet)
{
alpha = 1.0;
beta = 0.0;
A = &(d_tmpB1[nV*(bet-iblock)]); lda = nV*BLOCK_SIZE;
B = d_tmpB1; ldb = nV;
C = &(d_B1[nV*nV*(bet-iblock)]) ; ldc = nV;
cublasDgeam(handle, CUBLAS_OP_N, CUBLAS_OP_N, nV, nV, &alpha, A, lda, &beta, B, ldb, C, ldc);
}
alpha=1.0; beta=1.0;
m=nO*nO; n=mbs; k=nV*nV;
A=d_tau; lda=nO*nO;
B=d_B1 ; ldb=nV*nV;
C=&(d_r2[nO*nO*(iblock + nV*gam)]); ldc=nO*nO;
cublasDgemm(handle, CUBLAS_OP_N, CUBLAS_OP_N, m, n, k, &alpha, A, lda, B, ldb, &beta, C, ldc);
}
}
cudaFree(d_tmpB1);
cudaFree(d_B1);
cudaFree(d_tmp_cc2);
cudaFree(d_cc_space_v_vo_chol);
cudaFree(d_cc_space_v_vv_chol);
cudaFree(d_tau);
cudaFree(d_t1);
cudaFree(d_tmp_cc);
double * r2_tmp = malloc(nO*nO*nV*nV*sizeof(double));
lda=nO*nO;
cublasGetMatrix(nO*nO, nV*nV, sizeof(double), d_r2, lda, r2_tmp, lda);
#pragma omp critical
{
for (size_t i=0 ; i<nO*nO*nV*nV ; ++i) {
r2[i] += r2_tmp[i];
}
}
free(r2_tmp);
cudaFree(d_r2);
cublasDestroy(handle);
}
for (size_t i=0 ; i<nO*nO*nV*nV ; ++i)
{
r2[i] += cc_space_v_oovv[i];
}
}