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7 - Concurrency Using CUDA Streams and Events

Published online by Cambridge University Press:  04 May 2022

Richard Ansorge
Affiliation:
University of Cambridge
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Summary

Chapter 7 explores the ability of GPUs to perform multiple tasks simultaneously, including overlapping IO with computation and the simultaneous running of multiple kernels. CUDA streams and events are advanced features that allow users to manage multiple asynchronous tasks running on the GPU. Examples are given and the NVIDIA visual profiler (NVVP) is used to visualise the timeline for tasks in multiple CUDA streams. Asynchronous disk IO on the host PC can also be performed and examples using the C++ <threads> are given. Finally, the new CUDA graphs feature is introduced. This provides a wrapper for efficiently launching large numbers of kernel calls for complex workloads.

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Chapter
Information
Programming in Parallel with CUDA
A Practical Guide
, pp. 209 - 238
Publisher: Cambridge University Press
Print publication year: 2022

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