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CUDA 13.2 samples update (#432) 
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warpAggregatedAtomicsCG.cu
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README.md

warpAggregatedAtomicsCG - Warp Aggregated Atomics using Cooperative Groups

Description

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.

Key Concepts

Cooperative Groups, Atomic Intrinsics

Supported SM Architectures

Supported OSes

Linux, Windows

Supported CPU Architecture

x86_64, armv7l, aarch64

CUDA APIs involved

CUDA Runtime API

cudaMemcpy, cudaFree, cudaDeviceGetAttribute, cudaMemset, cudaMalloc

Prerequisites

Download and install the CUDA Toolkit for your corresponding platform.

References (for more details)