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31 lines
857 B
Markdown
31 lines
857 B
Markdown
# warpAggregatedAtomicsCG - Warp Aggregated Atomics using Cooperative Groups
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## Description
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This sample demonstrates how using Cooperative Groups (CG) to perform warp aggregated atomics to single and multiple counters, a useful technique to improve performance when many threads atomically add to a single or multiple counters.
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## Key Concepts
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Cooperative Groups, Atomic Intrinsics
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## Supported SM Architectures
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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, 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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cudaMemcpy, cudaFree, cudaDeviceGetAttribute, cudaMemset, cudaMalloc
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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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