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/* Copyright (c) 2022, 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
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