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