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50 lines
1.3 KiB
Markdown
50 lines
1.3 KiB
Markdown
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# globalToShmemTMACopy - Global Memory to Shared Memory TMA Copy
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## Description
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This sample shows how to use the CUDA driver API and inline PTX assembly to copy
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a 2D tile of a tensor into shared memory. It also demonstrates arrive-wait
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barrier for synchronization.
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## Key Concepts
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CUDA Runtime API, CUDA Driver API, PTX ISA, CPP11 CUDA
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## Supported SM Architectures
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This sample requires compute capability 9.0 or higher.
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[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, ppc64le, armv7l, aarch64
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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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cudaMalloc, cudaMemcpy, cudaFree, cudaDeviceSynchronize
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### [CUDA Driver API](http://docs.nvidia.com/cuda/cuda-driver-api/index.html)
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cudaMalloc, cudaMemcpy, cudaFree, cudaDeviceSynchronize
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### [CUDA PTX ISA](https://docs.nvidia.com/cuda/parallel-thread-execution/index.html)
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## Dependencies needed to build/run
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[CPP11](../../../README.md#cpp11)
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## Prerequisites
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Download and install the [CUDA Toolkit 12.2](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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## Build and Run
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## References (for more details)
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