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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.
*/
/*
* This application demonstrates how to use the CUDA API to use multiple GPUs.
*
* Note that in order to detect multiple GPUs in your system you have to disable
* SLI in the nvidia control panel. Otherwise only one GPU is visible to the
* application. On the other side, you can still extend your desktop to screens
* attached to both GPUs.
*/
#ifndef SIMPLEMULTIGPU_H
#define SIMPLEMULTIGPU_H
typedef struct {
// Host-side input data
int dataN;
float *h_Data;
// Partial sum for this GPU
float *h_Sum;
// Device buffers
float *d_Data, *d_Sum;
// Reduction copied back from GPU
float *h_Sum_from_device;
// Stream for asynchronous command execution
cudaStream_t stream;
} TGPUplan;
extern "C" void launch_reduceKernel(float *d_Result, float *d_Input, int N,
int BLOCK_N, int THREAD_N, cudaStream_t &s);
#endif
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