English(EN) Characterizing Warp Divergence from Pascal to Blackwell

NVIDIA GPU的Warp Divergence行为在不同架构中保持稳定

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-26 00:00

一篇新论文分析了从Pascal到Blackwell的NVIDIA GPU架构中的Warp Divergence。研究发现，发散路径会随着路径数量线性串行化，这种行为自Pascal一代以来一直保持一致。虽然发散的核心性能成本一直可预测，但NVIDIA在其编译器发出的重新收敛机制和控制流指令方面，在Ampere、Hopper和Blackwell等架构中已显著发展。 AI

影响提供了与AI训练和推理工作负载相关的GPU性能特征的见解。

排序理由分析GPU架构行为的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

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Hugging Face Daily Papers TIER_1 English(EN) · 2026-07-26 00:00

Characterizing Warp Divergence from Pascal to Blackwell

Since Volta introduced Independent Thread Scheduling (ITS), NVIDIA GPUs have been widely assumed to handle warp divergence in a fixed manner. We test this assumption across Ampere, Hopper, and datacenter and consumer Blackwell GPUs, using pre-ITS Pascal as a baseline. Combining c…

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Characterizing Warp Divergence from Pascal to Blackwell

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