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63 lines
2.4 KiB
C
63 lines
2.4 KiB
C
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/* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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/*
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* This application demonstrates how to use the CUDA API to use multiple GPUs.
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*
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* Note that in order to detect multiple GPUs in your system you have to disable
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* SLI in the nvidia control panel. Otherwise only one GPU is visible to the
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* application. On the other side, you can still extend your desktop to screens
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* attached to both GPUs.
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*/
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#ifndef SIMPLEMULTIGPU_H
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#define SIMPLEMULTIGPU_H
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typedef struct {
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// Host-side input data
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int dataN;
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float *h_Data;
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// Partial sum for this GPU
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float *h_Sum;
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// Device buffers
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float *d_Data, *d_Sum;
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// Reduction copied back from GPU
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float *h_Sum_from_device;
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// Stream for asynchronous command execution
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cudaStream_t stream;
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} TGPUplan;
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extern "C" void launch_reduceKernel(float *d_Result, float *d_Input, int N,
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int BLOCK_N, int THREAD_N, cudaStream_t &s);
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#endif
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