mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-24 18:19:16 +08:00
102 lines
4.1 KiB
Plaintext
102 lines
4.1 KiB
Plaintext
/* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
|
|
*
|
|
* Redistribution and use in source and binary forms, with or without
|
|
* modification, are permitted provided that the following conditions
|
|
* are met:
|
|
* * Redistributions of source code must retain the above copyright
|
|
* notice, this list of conditions and the following disclaimer.
|
|
* * Redistributions in binary form must reproduce the above copyright
|
|
* notice, this list of conditions and the following disclaimer in the
|
|
* documentation and/or other materials provided with the distribution.
|
|
* * Neither the name of NVIDIA CORPORATION nor the names of its
|
|
* contributors may be used to endorse or promote products derived
|
|
* from this software without specific prior written permission.
|
|
*
|
|
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
|
|
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
|
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
|
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
|
|
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
|
|
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
|
|
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
|
|
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
|
|
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
|
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
*/
|
|
|
|
#ifndef QUASIRANDOMGENERATOR_GPU_CUH
|
|
#define QUASIRANDOMGENERATOR_GPU_CUH
|
|
|
|
#include <nvrtc_helper.h>
|
|
#include "quasirandomGenerator_common.h"
|
|
|
|
// Fast integer multiplication
|
|
#define MUL(a, b) __umul24(a, b)
|
|
|
|
// Global variables for nvrtc outputs
|
|
char *cubin;
|
|
size_t cubinSize;
|
|
CUmodule module;
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// GPU code
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Niederreiter quasirandom number generation kernel
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
// Table initialization routine
|
|
void initTableGPU(unsigned int tableCPU[QRNG_DIMENSIONS][QRNG_RESOLUTION]) {
|
|
CUdeviceptr c_Table;
|
|
checkCudaErrors(cuModuleGetGlobal(&c_Table, NULL, module, "c_Table"));
|
|
checkCudaErrors(
|
|
cuMemcpyHtoD(c_Table, tableCPU,
|
|
QRNG_DIMENSIONS * QRNG_RESOLUTION * sizeof(unsigned int)));
|
|
}
|
|
|
|
// Host-side interface
|
|
void quasirandomGeneratorGPU(CUdeviceptr d_Output, unsigned int seed,
|
|
unsigned int N) {
|
|
dim3 threads(128, QRNG_DIMENSIONS);
|
|
dim3 cudaGridSize(128, 1, 1);
|
|
|
|
CUfunction kernel_addr;
|
|
checkCudaErrors(
|
|
cuModuleGetFunction(&kernel_addr, module, "quasirandomGeneratorKernel"));
|
|
|
|
void *args[] = {(void *)&d_Output, (void *)&seed, (void *)&N};
|
|
checkCudaErrors(cuLaunchKernel(kernel_addr, cudaGridSize.x, cudaGridSize.y,
|
|
cudaGridSize.z, /* grid dim */
|
|
threads.x, threads.y,
|
|
threads.z, /* block dim */
|
|
0, 0, /* shared mem, stream */
|
|
&args[0], /* arguments */
|
|
0));
|
|
|
|
checkCudaErrors(cuCtxSynchronize());
|
|
}
|
|
|
|
void inverseCNDgpu(CUdeviceptr d_Output, unsigned int N) {
|
|
dim3 threads(128, 1, 1);
|
|
dim3 cudaGridSize(128, 1, 1);
|
|
|
|
CUfunction kernel_addr;
|
|
checkCudaErrors(
|
|
cuModuleGetFunction(&kernel_addr, module, "inverseCNDKernel"));
|
|
|
|
void *args[] = {(void *)&d_Output, (void *)&N};
|
|
checkCudaErrors(cuLaunchKernel(kernel_addr, cudaGridSize.x, cudaGridSize.y,
|
|
cudaGridSize.z, /* grid dim */
|
|
threads.x, threads.y,
|
|
threads.z, /* block dim */
|
|
0, 0, /* shared mem, stream */
|
|
&args[0], /* arguments */
|
|
0));
|
|
|
|
checkCudaErrors(cuCtxSynchronize());
|
|
}
|
|
|
|
#endif
|