JNIEXPORT jint JNICALL Java_edu_berkeley_bid_SPBLAS_scsrmm
(JNIEnv * env, jobject calling_obj, jstring j_transa, jint m, jint n, jint k, jfloat alpha, jstring j_matdescra,
jfloatArray j_vals, jintArray j_ir, jintArray j_jc, jfloatArray j_b, jint ldb, jfloat beta, jfloatArray j_c, jint ldc) {
char * transa = (char *)(*env)->GetStringUTFChars(env, j_transa, 0);
char * matdescra = (char *)(*env)->GetStringUTFChars(env, j_matdescra, 0);
jfloat * vals = (*env)->GetPrimitiveArrayCritical(env, j_vals, 0);
jint * ir = (*env)->GetPrimitiveArrayCritical(env, j_ir, 0);
jint * jc = (*env)->GetPrimitiveArrayCritical(env, j_jc, 0);
jfloat * b = (*env)->GetPrimitiveArrayCritical(env, j_b, 0);
jfloat * c = (*env)->GetPrimitiveArrayCritical(env, j_c, 0);
jint returnValue = 0;
if (transa != NULL && matdescra != NULL && vals != NULL && ir != NULL && jc != NULL && b != NULL && c != NULL) {
mkl_scsrmm(transa, &m, &n, &k, &alpha, matdescra, vals, ir, jc, jc+1, b, &ldb, &beta, c, &ldc);
} else {
returnValue = 1;
}
(*env)->ReleasePrimitiveArrayCritical(env, j_c, c, 0);
(*env)->ReleasePrimitiveArrayCritical(env, j_b, b, 0);
(*env)->ReleasePrimitiveArrayCritical(env, j_jc, jc, 0);
(*env)->ReleasePrimitiveArrayCritical(env, j_ir, ir, 0);
(*env)->ReleasePrimitiveArrayCritical(env, j_vals, vals, 0);
(*env)->ReleaseStringUTFChars(env, j_matdescra, matdescra);
(*env)->ReleaseStringUTFChars(env, j_transa, transa);
return returnValue;
};
void multiply(const CrsMatrix< float , Kokkos::OpenMP >& A,
const std::vector< Kokkos::View< float* , Kokkos::OpenMP > >& x,
std::vector< Kokkos::View< float* , Kokkos::OpenMP > >& y,
MKLMultiply tag)
{
typedef Kokkos::OpenMP device_type ;
typedef float value_type ;
typedef Kokkos::View< float** , Kokkos::LayoutLeft, device_type > trans_multi_vector_type ;
MKL_INT n = A.graph.row_map.dimension_0() - 1 ;
float *A_values = A.values.ptr_on_device() ;
MKL_INT *col_indices = A.graph.entries.ptr_on_device() ;
MKL_INT *row_beg = const_cast<MKL_INT*>(A.graph.row_map.ptr_on_device()) ;
MKL_INT *row_end = row_beg+1;
char matdescra[6] = { 'G', 'x', 'N', 'C', 'x', 'x' };
char trans = 'N';
float alpha = 1.0;
float beta = 0.0;
// Copy columns of x into a contiguous vector
MKL_INT ncol = x.size();
trans_multi_vector_type xx( "xx" , ncol , n );
trans_multi_vector_type yy( "yy" , ncol , n );
Impl::GatherVecTranspose<value_type,device_type>::apply(x,xx);
float *x_values = xx.ptr_on_device() ;
float *y_values = yy.ptr_on_device() ;
// Call MKLs CSR x multi-vector (row-based) multiply
mkl_scsrmm(&trans, &n, &ncol, &n, &alpha, matdescra, A_values, col_indices,
row_beg, row_end, x_values, &ncol, &beta, y_values, &ncol);
// Copy columns out of continguous multivector
Impl::ScatterVecTranspose<value_type,device_type>::apply(y,yy);
}
/* ////////////////////////////////////////////////////////////////////////////
-- testing sparse matrix vector product
*/
int main( int argc, char** argv )
{
magma_int_t info = 0;
TESTING_CHECK( magma_init() );
magma_print_environment();
magma_queue_t queue=NULL;
magma_queue_create( 0, &queue );
magma_s_matrix hA={Magma_CSR}, hA_SELLP={Magma_CSR},
dA={Magma_CSR}, dA_SELLP={Magma_CSR};
magma_s_matrix hx={Magma_CSR}, hy={Magma_CSR}, dx={Magma_CSR},
dy={Magma_CSR}, hrefvec={Magma_CSR}, hcheck={Magma_CSR};
hA_SELLP.blocksize = 8;
hA_SELLP.alignment = 8;
real_Double_t start, end, res;
#ifdef MAGMA_WITH_MKL
magma_int_t *pntre=NULL;
#endif
cusparseHandle_t cusparseHandle = NULL;
cusparseMatDescr_t descr = NULL;
float c_one = MAGMA_S_MAKE(1.0, 0.0);
float c_zero = MAGMA_S_MAKE(0.0, 0.0);
float accuracy = 1e-10;
#define PRECISION_s
#if defined(PRECISION_c)
accuracy = 1e-4;
#endif
#if defined(PRECISION_s)
accuracy = 1e-4;
#endif
magma_int_t i, j;
for( i = 1; i < argc; ++i ) {
if ( strcmp("--blocksize", argv[i]) == 0 ) {
hA_SELLP.blocksize = atoi( argv[++i] );
} else if ( strcmp("--alignment", argv[i]) == 0 ) {
hA_SELLP.alignment = atoi( argv[++i] );
} else
break;
}
printf("\n# usage: ./run_sspmm"
" [ --blocksize %lld --alignment %lld (for SELLP) ] matrices\n\n",
(long long) hA_SELLP.blocksize, (long long) hA_SELLP.alignment );
while( i < argc ) {
if ( strcmp("LAPLACE2D", argv[i]) == 0 && i+1 < argc ) { // Laplace test
i++;
magma_int_t laplace_size = atoi( argv[i] );
TESTING_CHECK( magma_sm_5stencil( laplace_size, &hA, queue ));
} else { // file-matrix test
TESTING_CHECK( magma_s_csr_mtx( &hA, argv[i], queue ));
}
printf("%% matrix info: %lld-by-%lld with %lld nonzeros\n",
(long long) hA.num_rows, (long long) hA.num_cols, (long long) hA.nnz );
real_Double_t FLOPS = 2.0*hA.nnz/1e9;
// m - number of rows for the sparse matrix
// n - number of vectors to be multiplied in the SpMM product
magma_int_t m, n;
m = hA.num_rows;
n = 48;
// init CPU vectors
TESTING_CHECK( magma_svinit( &hx, Magma_CPU, m, n, c_one, queue ));
TESTING_CHECK( magma_svinit( &hy, Magma_CPU, m, n, c_zero, queue ));
// init DEV vectors
TESTING_CHECK( magma_svinit( &dx, Magma_DEV, m, n, c_one, queue ));
TESTING_CHECK( magma_svinit( &dy, Magma_DEV, m, n, c_zero, queue ));
// calling MKL with CSR
#ifdef MAGMA_WITH_MKL
TESTING_CHECK( magma_imalloc_cpu( &pntre, m + 1 ) );
pntre[0] = 0;
for (j=0; j < m; j++ ) {
pntre[j] = hA.row[j+1];
}
MKL_INT num_rows = hA.num_rows;
MKL_INT num_cols = hA.num_cols;
MKL_INT nnz = hA.nnz;
MKL_INT num_vecs = n;
MKL_INT *col;
TESTING_CHECK( magma_malloc_cpu( (void**) &col, nnz * sizeof(MKL_INT) ));
for( magma_int_t t=0; t < hA.nnz; ++t ) {
col[ t ] = hA.col[ t ];
}
MKL_INT *row;
TESTING_CHECK( magma_malloc_cpu( (void**) &row, num_rows * sizeof(MKL_INT) ));
for( magma_int_t t=0; t < hA.num_rows; ++t ) {
row[ t ] = hA.col[ t ];
}
// === Call MKL with consecutive SpMVs, using mkl_scsrmv ===
// warmp up
mkl_scsrmv( "N", &num_rows, &num_cols,
MKL_ADDR(&c_one), "GFNC", MKL_ADDR(hA.val), col, row, pntre,
MKL_ADDR(hx.val),
MKL_ADDR(&c_zero), MKL_ADDR(hy.val) );
start = magma_wtime();
for (j=0; j < 10; j++ ) {
mkl_scsrmv( "N", &num_rows, &num_cols,
MKL_ADDR(&c_one), "GFNC", MKL_ADDR(hA.val), col, row, pntre,
MKL_ADDR(hx.val),
MKL_ADDR(&c_zero), MKL_ADDR(hy.val) );
}
end = magma_wtime();
printf( "\n > MKL SpMVs : %.2e seconds %.2e GFLOP/s (CSR).\n",
(end-start)/10, FLOPS*10/(end-start) );
// === Call MKL with blocked SpMVs, using mkl_scsrmm ===
char transa = 'n';
MKL_INT ldb = n, ldc=n;
char matdescra[6] = {'g', 'l', 'n', 'c', 'x', 'x'};
// warm up
mkl_scsrmm( &transa, &num_rows, &num_vecs, &num_cols, MKL_ADDR(&c_one), matdescra,
MKL_ADDR(hA.val), col, row, pntre,
MKL_ADDR(hx.val), &ldb,
MKL_ADDR(&c_zero),
MKL_ADDR(hy.val), &ldc );
start = magma_wtime();
for (j=0; j < 10; j++ ) {
mkl_scsrmm( &transa, &num_rows, &num_vecs, &num_cols, MKL_ADDR(&c_one), matdescra,
MKL_ADDR(hA.val), col, row, pntre,
MKL_ADDR(hx.val), &ldb,
MKL_ADDR(&c_zero),
MKL_ADDR(hy.val), &ldc );
}
end = magma_wtime();
printf( "\n > MKL SpMM : %.2e seconds %.2e GFLOP/s (CSR).\n",
(end-start)/10, FLOPS*10.*n/(end-start) );
magma_free_cpu( row );
magma_free_cpu( col );
row = NULL;
col = NULL;
#endif // MAGMA_WITH_MKL
// copy matrix to GPU
TESTING_CHECK( magma_smtransfer( hA, &dA, Magma_CPU, Magma_DEV, queue ));
// SpMV on GPU (CSR)
start = magma_sync_wtime( queue );
for (j=0; j < 10; j++) {
TESTING_CHECK( magma_s_spmv( c_one, dA, dx, c_zero, dy, queue ));
}
end = magma_sync_wtime( queue );
printf( " > MAGMA: %.2e seconds %.2e GFLOP/s (standard CSR).\n",
(end-start)/10, FLOPS*10.*n/(end-start) );
TESTING_CHECK( magma_smtransfer( dy, &hrefvec , Magma_DEV, Magma_CPU, queue ));
magma_smfree(&dA, queue );
// convert to SELLP and copy to GPU
TESTING_CHECK( magma_smconvert( hA, &hA_SELLP, Magma_CSR, Magma_SELLP, queue ));
TESTING_CHECK( magma_smtransfer( hA_SELLP, &dA_SELLP, Magma_CPU, Magma_DEV, queue ));
magma_smfree(&hA_SELLP, queue );
magma_smfree( &dy, queue );
TESTING_CHECK( magma_svinit( &dy, Magma_DEV, dx.num_rows, dx.num_cols, c_zero, queue ));
// SpMV on GPU (SELLP)
start = magma_sync_wtime( queue );
for (j=0; j < 10; j++) {
TESTING_CHECK( magma_s_spmv( c_one, dA_SELLP, dx, c_zero, dy, queue ));
}
end = magma_sync_wtime( queue );
printf( " > MAGMA: %.2e seconds %.2e GFLOP/s (SELLP).\n",
(end-start)/10, FLOPS*10.*n/(end-start) );
TESTING_CHECK( magma_smtransfer( dy, &hcheck , Magma_DEV, Magma_CPU, queue ));
res = 0.0;
for(magma_int_t k=0; k < hA.num_rows; k++ ) {
res=res + MAGMA_S_REAL(hcheck.val[k]) - MAGMA_S_REAL(hrefvec.val[k]);
}
printf("%% |x-y|_F = %8.2e\n", res);
if ( res < accuracy )
printf("%% tester spmm SELL-P: ok\n");
else
printf("%% tester spmm SELL-P: failed\n");
magma_smfree( &hcheck, queue );
magma_smfree(&dA_SELLP, queue );
// SpMV on GPU (CUSPARSE - CSR)
// CUSPARSE context //
magma_smfree( &dy, queue );
TESTING_CHECK( magma_svinit( &dy, Magma_DEV, dx.num_rows, dx.num_cols, c_zero, queue ));
//#ifdef PRECISION_d
start = magma_sync_wtime( queue );
TESTING_CHECK( cusparseCreate( &cusparseHandle ));
TESTING_CHECK( cusparseSetStream( cusparseHandle, magma_queue_get_cuda_stream(queue) ));
TESTING_CHECK( cusparseCreateMatDescr( &descr ));
TESTING_CHECK( cusparseSetMatType( descr, CUSPARSE_MATRIX_TYPE_GENERAL ));
TESTING_CHECK( cusparseSetMatIndexBase( descr, CUSPARSE_INDEX_BASE_ZERO ));
float alpha = c_one;
float beta = c_zero;
// copy matrix to GPU
TESTING_CHECK( magma_smtransfer( hA, &dA, Magma_CPU, Magma_DEV, queue) );
for (j=0; j < 10; j++) {
cusparseScsrmm(cusparseHandle,
CUSPARSE_OPERATION_NON_TRANSPOSE,
dA.num_rows, n, dA.num_cols, dA.nnz,
&alpha, descr, dA.dval, dA.drow, dA.dcol,
dx.dval, dA.num_cols, &beta, dy.dval, dA.num_cols);
}
end = magma_sync_wtime( queue );
printf( " > CUSPARSE: %.2e seconds %.2e GFLOP/s (CSR).\n",
(end-start)/10, FLOPS*10*n/(end-start) );
TESTING_CHECK( magma_smtransfer( dy, &hcheck , Magma_DEV, Magma_CPU, queue ));
res = 0.0;
for(magma_int_t k=0; k < hA.num_rows; k++ ) {
res = res + MAGMA_S_REAL(hcheck.val[k]) - MAGMA_S_REAL(hrefvec.val[k]);
}
printf("%% |x-y|_F = %8.2e\n", res);
if ( res < accuracy )
printf("%% tester spmm cuSPARSE: ok\n");
else
printf("%% tester spmm cuSPARSE: failed\n");
magma_smfree( &hcheck, queue );
cusparseDestroyMatDescr( descr );
cusparseDestroy( cusparseHandle );
descr = NULL;
cusparseHandle = NULL;
//#endif
printf("\n\n");
// free CPU memory
magma_smfree( &hA, queue );
magma_smfree( &hx, queue );
magma_smfree( &hy, queue );
magma_smfree( &hrefvec, queue );
// free GPU memory
magma_smfree( &dx, queue );
magma_smfree( &dy, queue );
magma_smfree( &dA, queue);
#ifdef MAGMA_WITH_MKL
magma_free_cpu( pntre );
#endif
i++;
}
magma_queue_destroy( queue );
TESTING_CHECK( magma_finalize() );
return info;
}
