Using CUDA Warp-Level Primitives – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-27T16:00:00Z http://www.open-lab.net/blog/feed/ Yuan Lin <![CDATA[Using CUDA Warp-Level Primitives]]> http://www.open-lab.net/blog/?p=9333 2022-08-21T23:38:40Z 2018-01-16T02:01:05Z [caption id="attachment_7833" align="alignright" width="400"] Figure 1: The Tesla V100 Accelerator with Volta GV100 GPU. SXM2 Form Factor.[/caption] NVIDIA GPUs...]]> [caption id="attachment_7833" align="alignright" width="400"] Figure 1: The Tesla V100 Accelerator with Volta GV100 GPU. SXM2 Form Factor.[/caption] NVIDIA GPUs...Figure 1: The Tesla V100 Accelerator with Volta GV100 GPU. SXM2 Form Factor.

NVIDIA GPUs execute groups of threads known as warps in SIMT (Single Instruction, Multiple Thread) fashion. Many CUDA programs achieve high performance by taking advantage of warp execution. In this blog we show how to use primitives introduced in CUDA 9 to make your warp-level programing safe and effective. NVIDIA GPUs and the CUDA programming model employ an execution model called SIMT��

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