mirror of
https://github.com/paboyle/Grid.git
synced 2024-09-19 16:55:37 +01:00
Blas batched partial implementation on Frontier only for now
This commit is contained in:
Peter Boyle
parent
332563e037
commit
b75cb7a12c
278
Grid/algorithms/multigrid/BatchedBlas.h
Normal file
278
Grid/algorithms/multigrid/BatchedBlas.h
Normal file
@ -0,0 +1,278 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: BatchedBlas.h
|
||||
|
||||
Copyright (C) 2023
|
||||
|
||||
Author: Peter Boyle <pboyle@bnl.gov>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
#ifdef GRID_HIP
|
||||
#include <hipblas/hipblas.h>
|
||||
#endif
|
||||
#ifdef GRID_CUDA
|
||||
#include <hipblas/hipblas.h>
|
||||
#endif
|
||||
#ifdef GRID_SYCL
|
||||
#error // need oneMKL version
|
||||
#endif
|
||||
|
||||
///////////////////////////////////////////////////////////////////////
|
||||
// Need to rearrange lattice data to be in the right format for a
|
||||
// batched multiply. Might as well make these static, dense packed
|
||||
///////////////////////////////////////////////////////////////////////
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
#ifdef GRID_HIP
|
||||
typedef hipblasHandle_t gridblasHandle_t;
|
||||
#endif
|
||||
#ifdef GRID_CUDA
|
||||
typedef cudablasHandle_t gridblasHandle_t;
|
||||
#endif
|
||||
#ifdef GRID_SYCL
|
||||
typedef int32_t gridblasHandle_t;
|
||||
#endif
|
||||
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
|
||||
typedef int32_t gridblasHandle_t;
|
||||
#endif
|
||||
|
||||
class GridBLAS {
|
||||
public:
|
||||
|
||||
static gridblasHandle_t gridblasHandle;
|
||||
static int gridblasInit;
|
||||
|
||||
static void Init(void)
|
||||
{
|
||||
if ( ! gridblasInit ) {
|
||||
#ifdef GRID_CUDA
|
||||
std::cout << "cublasCreate"<<std::endl;
|
||||
cublasCreate(&gridblasHandle);
|
||||
#endif
|
||||
#ifdef GRID_HIP
|
||||
std::cout << "hipblasCreate"<<std::endl;
|
||||
hipblasCreate(&gridblasHandle);
|
||||
#endif
|
||||
#ifdef GRID_SYCL
|
||||
#error
|
||||
#endif
|
||||
}
|
||||
}
|
||||
|
||||
// Force construct once
|
||||
GridBLAS() { Init(); };
|
||||
~GridBLAS() { };
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////
|
||||
// BLAS GEMM conventions:
|
||||
/////////////////////////////////////////////////////////////////////////////////////
|
||||
// - C = alpha A * B + beta C
|
||||
// Dimensions:
|
||||
// - C_m.n
|
||||
// - A_m.k
|
||||
// - B_k.n
|
||||
// - Flops = 8 M N K
|
||||
// - Bytes = 2*sizeof(word) * (MN+MK+KN)
|
||||
// M=60, N=12
|
||||
// Flop/Byte = 8 . 60.60.12 / (60.12+60.60+60.12)/16 = 4 so expect about 4 TF/s on a GCD
|
||||
/////////////////////////////////////////////////////////////////////////////////////
|
||||
void synchronise(void)
|
||||
{
|
||||
#ifdef GRID_HIP
|
||||
auto err = hipDeviceSynchronize();
|
||||
assert(err==hipSuccess);
|
||||
#endif
|
||||
#ifdef GRID_CUDA
|
||||
auto err = cudaDeviceSynchronize();
|
||||
assert(err==cudaSuccess);
|
||||
#endif
|
||||
#ifdef GRID_SYCL
|
||||
accelerator_barrier();
|
||||
#endif
|
||||
}
|
||||
void benchmark(int nbasis, int nrhs, int coarseVol, int nstencil)
|
||||
{
|
||||
int32_t N_A = nbasis*nbasis*coarseVol*nstencil;
|
||||
int32_t N_B = nbasis*nrhs*coarseVol*nstencil; // One leg of stencil at a time
|
||||
int32_t N_C = nbasis*nrhs*coarseVol*nstencil;
|
||||
deviceVector<ComplexD> A(N_A); acceleratorMemSet(&A[0],0,N_A*sizeof(ComplexD));
|
||||
deviceVector<ComplexD> B(N_B); acceleratorMemSet(&B[0],0,N_B*sizeof(ComplexD));
|
||||
deviceVector<ComplexD> C(N_C); acceleratorMemSet(&C[0],0,N_C*sizeof(ComplexD));
|
||||
ComplexD alpha(1.0);
|
||||
ComplexD beta (1.0);
|
||||
for(int i=0;i<10;i++){
|
||||
RealD t0 = usecond();
|
||||
for(int s=0;s<nstencil;s++){
|
||||
gemmStridedBatched(nbasis,nrhs,nbasis,
|
||||
alpha,
|
||||
&A[0], // m x k
|
||||
&B[0], // k x n
|
||||
beta,
|
||||
&C[0], // m x n
|
||||
coarseVol);
|
||||
}
|
||||
synchronise();
|
||||
RealD t1 = usecond();
|
||||
RealD flops = 8.0*nbasis*nbasis*nrhs*coarseVol*nstencil;
|
||||
RealD bytes = 1.0*sizeof(ComplexD)*(nbasis*nbasis+nbasis*nrhs*3)*coarseVol*nstencil;
|
||||
std::cout << " batched Blas call "<<i<<" "<< flops/(t1-t0)/1.e3 <<" GF/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
|
||||
std::cout << " batched Blas call "<<i<<" "<< bytes/(t1-t0)/1.e3 <<" GB/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
void gemmBatched(int m,int n, int k,
|
||||
ComplexD alpha,
|
||||
deviceVector<ComplexD*> &Amk, // pointer list to matrices
|
||||
deviceVector<ComplexD*> &Bkn,
|
||||
ComplexD beta,
|
||||
deviceVector<ComplexD*> &Cmn)
|
||||
{
|
||||
RealD t2=usecond();
|
||||
int32_t batchCount = Amk.size();
|
||||
// Use C-row major storage, so transpose calls
|
||||
int lda = m; // m x k column major
|
||||
int ldb = k; // k x n column major
|
||||
int ldc = m; // m x b column major
|
||||
static deviceVector<ComplexD> alpha_p(1);
|
||||
static deviceVector<ComplexD> beta_p(1);
|
||||
// can prestore the 1 and the zero on device
|
||||
acceleratorCopyToDevice((void *)&alpha,(void *)&alpha_p[0],sizeof(ComplexD));
|
||||
acceleratorCopyToDevice((void *)&beta ,(void *)&beta_p[0],sizeof(ComplexD));
|
||||
RealD t0=usecond();
|
||||
#ifdef GRID_HIP
|
||||
std::cout << "hipblasZgemmBatched mnk "<<m<<","<<n<<","<<k<<" count "<<batchCount<<std::endl;
|
||||
assert(Bkn.size()==batchCount);
|
||||
assert(Cmn.size()==batchCount);
|
||||
auto err = hipblasZgemmBatched(gridblasHandle,
|
||||
HIPBLAS_OP_N,
|
||||
HIPBLAS_OP_N,
|
||||
m,n,k,
|
||||
(hipblasDoubleComplex *) &alpha_p[0],
|
||||
(hipblasDoubleComplex **)&Amk[0], lda,
|
||||
(hipblasDoubleComplex **)&Bkn[0], ldb,
|
||||
(hipblasDoubleComplex *) &beta_p[0],
|
||||
(hipblasDoubleComplex **)&Cmn[0], ldc,
|
||||
batchCount);
|
||||
// std::cout << " hipblas return code " <<(int)err<<std::endl;
|
||||
assert(err==HIPBLAS_STATUS_SUCCESS);
|
||||
synchronise();
|
||||
#endif
|
||||
#ifdef GRID_CUDA
|
||||
#error "CUDA implemenetation "
|
||||
#endif
|
||||
#ifdef GRID_SYCL
|
||||
#error "oneMKL implemenetation "
|
||||
#endif
|
||||
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
|
||||
// Need a default/reference implementation
|
||||
for (int p = 0; p < batchCount; ++p) {
|
||||
for (int mm = 0; mm < m; ++mm) {
|
||||
for (int nn = 0; nn < n; ++nn) {
|
||||
ComplexD c_mn(0.0);
|
||||
for (int kk = 0; kk < k, ++kk)
|
||||
c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
|
||||
Cmn[mm + nn*ldc + p*sdc] = (*alpha_p)*c_mn + (*beta_p)*Cmn[mm + nn*ldc + p*sdc];
|
||||
}
|
||||
}
|
||||
}
|
||||
#endif
|
||||
RealD t1=usecond();
|
||||
// std::cout << " hipblas synchronised " <<std::endl;
|
||||
RealD flops = 8.0*m*n*k*batchCount;
|
||||
RealD bytes = 1.0*sizeof(ComplexD)*(m*k+k*n+m*n)*batchCount;
|
||||
std::cout << " batched Blas copy "<<(t0-t2)/1.e3 <<" ms "<<std::endl;
|
||||
std::cout << " batched Blas call "<<m<<","<<n<<","<<k<<" "<< flops/(t1-t0)/1.e3 <<" GF/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
|
||||
std::cout << " batched Blas call "<<m<<","<<n<<","<<k<<" "<< bytes/(t1-t0)/1.e3 <<" GB/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
|
||||
|
||||
}
|
||||
|
||||
|
||||
void gemmStridedBatched(int m,int n, int k,
|
||||
ComplexD alpha,
|
||||
ComplexD* Amk, // pointer list to matrices
|
||||
ComplexD* Bkn,
|
||||
ComplexD beta,
|
||||
ComplexD* Cmn,
|
||||
int batchCount)
|
||||
{
|
||||
// Use C-row major storage, so transpose calls
|
||||
int lda = m; // m x k column major
|
||||
int ldb = k; // k x n column major
|
||||
int ldc = m; // m x b column major
|
||||
int sda = m*k;
|
||||
int sdb = k*n;
|
||||
int sdc = m*n;
|
||||
deviceVector<ComplexD> alpha_p(1);
|
||||
deviceVector<ComplexD> beta_p(1);
|
||||
acceleratorCopyToDevice((void *)&alpha,(void *)&alpha_p[0],sizeof(ComplexD));
|
||||
acceleratorCopyToDevice((void *)&beta ,(void *)&beta_p[0],sizeof(ComplexD));
|
||||
#ifdef GRID_HIP
|
||||
std::cout << "hipblasZgemmStridedBatched mnk "<<m<<","<<n<<","<<k<<" count "<<batchCount<<std::endl;
|
||||
std::cout << "hipblasZgemmStridedBatched ld "<<lda<<","<<ldb<<","<<ldc<<std::endl;
|
||||
std::cout << "hipblasZgemmStridedBatched sd "<<sda<<","<<sdb<<","<<sdc<<std::endl;
|
||||
{
|
||||
auto err = hipblasZgemmStridedBatched(gridblasHandle,
|
||||
HIPBLAS_OP_N,
|
||||
HIPBLAS_OP_N,
|
||||
m,n,k,
|
||||
(hipblasDoubleComplex *) &alpha_p[0],
|
||||
(hipblasDoubleComplex *) Amk, lda, sda,
|
||||
(hipblasDoubleComplex *) Bkn, ldb, sdb,
|
||||
(hipblasDoubleComplex *) &beta_p[0],
|
||||
(hipblasDoubleComplex *) Cmn, ldc, sdc,
|
||||
batchCount);
|
||||
std::cout << " hipblas return code " <<(int)err<<std::endl;
|
||||
assert(err==HIPBLAS_STATUS_SUCCESS);
|
||||
}
|
||||
#endif
|
||||
#ifdef GRID_CUDA
|
||||
cublasZgemmStridedBatched(gridblasHandle,
|
||||
CUBLAS_OP_T,
|
||||
CUBLAS_OP_T,
|
||||
m,n,k,
|
||||
(cuDoubleComplex *)&alpha_p[0],
|
||||
(cuDoubleComplex *) Amk, lda, sda,
|
||||
(cuDoubleComplex *) Bkn, ldb, sdb,
|
||||
(cuDoubleComplex *)&beta_p[],
|
||||
(cuDoubleComplex *) Cmn, ldc, sdc,
|
||||
batchCount);
|
||||
#endif
|
||||
#ifdef GRID_SYCL
|
||||
#error "oneMKL implemenetation "
|
||||
#endif
|
||||
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
|
||||
// Need a default/reference implementation
|
||||
for (int p = 0; p < batchCount; ++p) {
|
||||
for (int mm = 0; mm < m; ++mm) {
|
||||
for (int nn = 0; nn < n; ++nn) {
|
||||
ComplexD c_mn(0.0);
|
||||
for (int kk = 0; kk < k, ++kk)
|
||||
c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
|
||||
Cmn[mm + nn*ldc + p*sdc] = (*alpha_p)*c_mn + (*beta_p)*Cmn[mm + nn*ldc + p*sdc];
|
||||
}
|
||||
}
|
||||
}
|
||||
#endif
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
Loading…
Reference in New Issue
Block a user