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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.
*/
__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;
}
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