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38 lines
2.0 KiB
Markdown
38 lines
2.0 KiB
Markdown
# simpleIPC - simpleIPC
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## Description
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This CUDA Runtime API sample is a very basic sample that demonstrates Inter Process Communication with one process per GPU for computation. Requires Compute Capability 3.0 or higher and a Linux Operating System, or a Windows Operating System.
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## Key Concepts
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CUDA Systems Integration, Peer to Peer, InterProcess Communication
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## Supported SM Architectures
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[SM 5.0 ](https://developer.nvidia.com/cuda-gpus) [SM 5.2 ](https://developer.nvidia.com/cuda-gpus) [SM 5.3 ](https://developer.nvidia.com/cuda-gpus) [SM 6.0 ](https://developer.nvidia.com/cuda-gpus) [SM 6.1 ](https://developer.nvidia.com/cuda-gpus) [SM 7.0 ](https://developer.nvidia.com/cuda-gpus) [SM 7.2 ](https://developer.nvidia.com/cuda-gpus) [SM 7.5 ](https://developer.nvidia.com/cuda-gpus) [SM 8.0 ](https://developer.nvidia.com/cuda-gpus) [SM 8.6 ](https://developer.nvidia.com/cuda-gpus) [SM 8.7 ](https://developer.nvidia.com/cuda-gpus) [SM 8.9 ](https://developer.nvidia.com/cuda-gpus) [SM 9.0 ](https://developer.nvidia.com/cuda-gpus)
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## Supported OSes
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Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le
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## CUDA APIs involved
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### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
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cudaSetDevice, cudaIpcCloseMemHandle, cudaEventDestroy, cudaGetDeviceCount, cudaMemcpyAsync, cudaDeviceCanAccessPeer, cudaStreamCreateWithFlags, cudaStreamDestroy, cudaGetLastError, cudaIpcOpenEventHandle, cudaIpcOpenMemHandle, cudaIpcGetEventHandle, cudaStreamWaitEvent, cudaEventCreate, cudaFree, cudaEventSynchronize, cudaEventRecord, cudaIpcGetMemHandle, cudaStreamSynchronize, cudaDeviceEnablePeerAccess, cudaMalloc, cudaOccupancyMaxActiveBlocksPerMultiprocessor, cudaGetDeviceProperties
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## Dependencies needed to build/run
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[IPC](../../../README.md#ipc)
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## Prerequisites
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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