// // 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. // // Copyright (c) 2018 NVIDIA Corporation. All rights reserved. #ifndef RAND_STATE_HELPERS_H #define RAND_STATE_HELPERS_H #include "PxTask.h" #include "ApexMirroredArray.h" namespace nvidia { namespace apex { // For CUDA PRNG: host part PX_INLINE void InitDevicePRNGs( SceneIntl& scene, unsigned int blockSize, LCG_PRNG& threadLeap, LCG_PRNG& gridLeap, ApexMirroredArray& blockPRNGs) { threadLeap = LCG_PRNG::getDefault().leapFrog(16); LCG_PRNG randBlock = LCG_PRNG::getIdentity(); LCG_PRNG randBlockLeap = threadLeap.leapFrog(blockSize); const uint32_t numBlocks = 32; //Max Multiprocessor count blockPRNGs.setSize(numBlocks, ApexMirroredPlace::CPU_GPU); for (uint32_t i = 0; i < numBlocks; ++i) { blockPRNGs[i] = randBlock; randBlock *= randBlockLeap; } gridLeap = randBlock; { PxTaskManager* tm = scene.getTaskManager(); PxCudaContextManager* ctx = tm->getGpuDispatcher()->getCudaContextManager(); PxScopedCudaLock s(*ctx); PxGpuCopyDesc desc; blockPRNGs.copyHostToDeviceDesc(desc, 0, 0); tm->getGpuDispatcher()->launchCopyKernel(&desc, 1, 0); } } } } // nvidia::apex:: #endif