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Kernel Fusion in NVIDIA CUDA: Optimizing Memory Traffic and Launch Overhead
MH

Michelle Horton

· 1 min read

EngineeringNVIDIA Technical Blog

Kernel Fusion in NVIDIA CUDA: Optimizing Memory Traffic and Launch Overhead

There are many ways to optimize code for GPUs. In this post, you’ll learn how kernel fusion can improve memory bandwidth and reduce kernel launch overhead,...

There are many ways to optimize code for GPUs. In this post, you’ll learn how kernel fusion can improve memory bandwidth and reduce kernel launch overhead, along with multiple ways to apply it in NVIDIA CUDA code. A common bottleneck when writing GPU code is that GPU compute is so fast that even high-bandwidth device memory doesn’t use the GPU kernel fully. Kernel fusion addresses this by…

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This story was published by NVIDIA Technical Blog and written by Michelle Horton. SyncAI.news shows a preview; the complete article is on the publisher's site.

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