/* 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. */ __global__ void simple_kernel(const int *pIn, int *pOut, int a) { __shared__ int sData[THREAD_N]; int tid = threadIdx.x + blockDim.x * blockIdx.x; sData[threadIdx.x] = pIn[tid]; __syncthreads(); pOut[tid] = sData[threadIdx.x] * a + tid; ; } __global__ void simple_kernel(const int2 *pIn, int *pOut, int a) { __shared__ int2 sData[THREAD_N]; int tid = threadIdx.x + blockDim.x * blockIdx.x; sData[threadIdx.x] = pIn[tid]; __syncthreads(); pOut[tid] = (sData[threadIdx.x].x + sData[threadIdx.x].y) * a + tid; ; } __global__ void simple_kernel(const int *pIn1, const int *pIn2, int *pOut, int a) { __shared__ int sData1[THREAD_N]; __shared__ int sData2[THREAD_N]; int tid = threadIdx.x + blockDim.x * blockIdx.x; sData1[threadIdx.x] = pIn1[tid]; sData2[threadIdx.x] = pIn2[tid]; __syncthreads(); pOut[tid] = (sData1[threadIdx.x] + sData2[threadIdx.x]) * a + tid; }