Efficient automatic scheduling of imaging and vision pipelines for the GPU

Efficient automatic scheduling of imaging and vision pipelines for the GPU

<jats:p>We present a new algorithm to quickly generate high-performance GPU implementations of complex imaging and vision pipelines, directly from high-level Halide algorithm code. It is fully automatic, requiring no schedule templates or hand-optimized kernels. We address the scalability chal...

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Bibliographic Details
Main Authors: Anderson, Luke, Adams, Andrew, Ma, Karima, Li, Tzu-Mao, Jin, Tian, Ragan-Kelley, Jonathan
Other Authors: Koch Institute for Integrative Cancer Research at MIT
Format: Article
Language:English
Published: Association for Computing Machinery (ACM) 2022
Online Access:https://hdl.handle.net/1721.1/143843

Internet

https://hdl.handle.net/1721.1/143843

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