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37 lines
2.1 KiB
Markdown
37 lines
2.1 KiB
Markdown
# memMapIPCDrv - Memmap IPC Driver API
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## Description
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This CUDA Driver API sample is a very basic sample that demonstrates Inter Process Communication using cuMemMap APIs 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 Driver API, cuMemMap IPC, MMAP
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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, QNX
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## Supported CPU Architecture
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x86_64, armv7l, aarch64
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## CUDA APIs involved
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### [CUDA Driver API](http://docs.nvidia.com/cuda/cuda-driver-api/index.html)
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cuDeviceCanAccessPeer, cuMemImportFromShareableHandle, cuModuleLoadDataEx, cuModuleGetFunction, cuMemSetAccess, cuModuleLoad, cuStreamCreate, cuMemRelease, cuInit, cuLaunchKernel, cuMemcpyDtoHAsync, cuMemCreate, cuDeviceGet, cuCtxDestroy, cuDeviceGetCount, cuMemMap, cuMemExportToShareableHandle, cuStreamSynchronize, cuCtxEnablePeerAccess, cuDeviceGetAttribute, cuOccupancyMaxActiveBlocksPerMultiprocessor, cuCtxSetCurrent, cuMemGetAllocationGranularity, cuMemAddressFree, cuMemUnmap, cuCtxCreate, cuStreamDestroy, cuMemAddressReserve
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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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