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34 lines
1.5 KiB
Markdown
34 lines
1.5 KiB
Markdown
# streamOrderedAllocationP2P - stream Ordered Allocation Peer-to-Peer access
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## Description
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This sample demonstrates peer-to-peer access of stream ordered memory allocated using cudaMallocAsync and cudaMemPool family of APIs.
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## Key Concepts
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Performance Strategies
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## Supported SM Architectures
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[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, armv7l
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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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cudaDeviceGetDefaultMemPool, cudaFreeAsync, cudaStreamCreateWithFlags, cudaMemPoolSetAccess, cudaStreamDestroy, cudaDeviceGetAttribute, cudaMallocAsync, cudaSetDevice, cudaGetDeviceCount, cudaEventRecord, cudaStreamSynchronize, cudaStreamWaitEvent, cudaMemcpyAsync, cudaDeviceCanAccessPeer, cudaEventCreate
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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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## References (for more details)
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