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coosort_example.c
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/*
* Copyright 1993-2022 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
#include <cuda_runtime.h>
#include <cusparse.h>
#include <stdio.h>
#include <stdlib.h>
#define CHECK_CUDA(func) \
{ \
cudaError_t status = (func); \
if (status != cudaSuccess) { \
printf("CUDA API failed at line %d with error: %s (%d)\n", \
__LINE__, cudaGetErrorString(status), status); \
return EXIT_FAILURE; \
} \
}
#define CHECK_CUSPARSE(func) \
{ \
cusparseStatus_t status = (func); \
if (status != CUSPARSE_STATUS_SUCCESS) { \
printf("CUSPARSE API failed at line %d with error: %s (%d)\n", \
__LINE__, cusparseGetErrorString(status), status); \
return EXIT_FAILURE; \
} \
}
// | 1 0 2 3 |
// | 0 4 0 0 |
// coo matrix: | 5 0 6 7 |
// | 0 8 0 9 |
// | 0 10 11 0 |
int main(void) {
int num_rows = 4;
int num_columns = 4;
int nnz = 11;
int h_rows[] = {3, 2, 0, 3, 0, 4, 1, 0, 4, 2, 2}; // unsorted
int h_columns[] = {1, 0, 0, 3, 2, 2, 1, 3, 1, 2, 3}; // unsorted
double h_values[] = {8.0, 5.0, 1.0, 9.0, 2.0, 11.0, 4.0, 3.0, 10.0, 6.0,
7.0}; // unsorted
double h_values_sorted[11]; // nnz
int h_permutation[11]; // nnz
int h_rows_ref[] = {0, 0, 0, 1, 2, 2, 2, 3, 3, 4, 4}; // sorted
int h_columns_ref[] = {0, 2, 3, 1, 0, 2, 3, 1, 3, 1, 2}; // sorted
double h_values_ref[] = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0,
10.0, 11.0}; // sorted
int h_permutation_ref[] = {2, 4, 7, 6, 1, 9, 10, 0, 3, 8, 5};
// sort(h_coo_values)[i] = h_coo_values[h_permutation_ref[i]]
//--------------------------------------------------------------------------
// Device memory management
int *d_rows, *d_columns, *d_permutation;
double *d_values, *d_values_sorted;
void *d_buffer;
size_t bufferSize;
CHECK_CUDA( cudaMalloc((void**) &d_rows, nnz * sizeof(int)) )
CHECK_CUDA( cudaMalloc((void**) &d_columns, nnz * sizeof(int)) )
CHECK_CUDA( cudaMalloc((void**) &d_values, nnz * sizeof(double)) )
CHECK_CUDA( cudaMalloc((void**) &d_values_sorted, nnz * sizeof(double)) )
CHECK_CUDA( cudaMalloc((void**) &d_permutation, nnz * sizeof(int)) )
CHECK_CUDA( cudaMemcpy(d_rows, h_rows, nnz * sizeof(int),
cudaMemcpyHostToDevice) )
CHECK_CUDA( cudaMemcpy(d_columns, h_columns, nnz * sizeof(int),
cudaMemcpyHostToDevice) )
CHECK_CUDA( cudaMemcpy(d_values, h_values, nnz * sizeof(double),
cudaMemcpyHostToDevice) )
//--------------------------------------------------------------------------
// CUSPARSE APIs
cusparseHandle_t handle = NULL;
cusparseSpVecDescr_t vec_permutation;
cusparseDnVecDescr_t vec_values;
CHECK_CUSPARSE( cusparseCreate(&handle) )
// Create sparse vector for the permutation
CHECK_CUSPARSE( cusparseCreateSpVec(&vec_permutation, nnz, nnz,
d_permutation, d_values_sorted,
CUSPARSE_INDEX_32I,
CUSPARSE_INDEX_BASE_ZERO, CUDA_R_64F) )
// Create dense vector for wrapping the original coo values
CHECK_CUSPARSE( cusparseCreateDnVec(&vec_values, nnz, d_values,
CUDA_R_64F) )
// Query working space of COO sort
CHECK_CUSPARSE( cusparseXcoosort_bufferSizeExt(handle, num_rows,
num_columns, nnz, d_rows,
d_columns, &bufferSize) )
CHECK_CUDA( cudaMalloc(&d_buffer, bufferSize) )
// Setup permutation vector to identity
CHECK_CUSPARSE( cusparseCreateIdentityPermutation(handle, nnz,
d_permutation) )
CHECK_CUSPARSE( cusparseXcoosortByRow(handle, num_rows, num_columns, nnz,
d_rows, d_columns, d_permutation,
d_buffer) )
CHECK_CUSPARSE( cusparseGather(handle, vec_values, vec_permutation) )
// destroy matrix/vector descriptors
CHECK_CUSPARSE( cusparseDestroySpVec(vec_permutation) )
CHECK_CUSPARSE( cusparseDestroyDnVec(vec_values) )
CHECK_CUSPARSE( cusparseDestroy(handle) )
//--------------------------------------------------------------------------
// device result check
CHECK_CUDA( cudaMemcpy(h_rows, d_rows, nnz * sizeof(int),
cudaMemcpyDeviceToHost) )
CHECK_CUDA( cudaMemcpy(h_columns, d_columns, nnz * sizeof(int),
cudaMemcpyDeviceToHost) )
CHECK_CUDA( cudaMemcpy(h_values_sorted, d_values_sorted,
nnz * sizeof(double), cudaMemcpyDeviceToHost) )
CHECK_CUDA( cudaMemcpy(h_permutation, d_permutation,
nnz * sizeof(int), cudaMemcpyDeviceToHost) )
int correct = 1;
for (int i = 0; i < nnz; i++) {
if (h_rows[i] != h_rows_ref[i] ||
h_columns[i] != h_columns_ref[i] ||
h_values_sorted[i] != h_values_ref[i] ||
h_permutation[i] != h_permutation_ref[i]) {
correct = 0;
break;
}
}
if (correct)
printf("coosort_example test PASSED\n");
else
printf("coosort_example test FAILED: wrong result\n");
//--------------------------------------------------------------------------
// device memory deallocation
CHECK_CUDA( cudaFree(d_rows) )
CHECK_CUDA( cudaFree(d_columns) )
CHECK_CUDA( cudaFree(d_permutation) )
CHECK_CUDA( cudaFree(d_values) )
CHECK_CUDA( cudaFree(d_values_sorted) )
CHECK_CUDA( cudaFree(d_buffer) )
return EXIT_SUCCESS;
}