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62 lines
2.4 KiB
62 lines
2.4 KiB
/* Copyright (c) 2022, 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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{ |
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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, int BLOCK_N, int THREAD_N, cudaStream_t &s); |
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#endif
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