Decoupling algorithms from schedules for easy optimization of image processing pipelines

Decoupling algorithms from schedules for easy optimization of image processing pipelines

Using existing programming tools, writing high-performance image processing code requires sacrificing readability, portability, and modularity. We argue that this is a consequence of conflating what computations define the algorithm, with decisions about storage and the order of computation. We refe...

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Bibliographic Details
Main Authors: Adams, Andrew (Contributor), Paris, Sylvain (Author), Levoy, Marc (Author), Ragan-Kelley, Jonathan Millar (Contributor), Amarasinghe, Saman P. (Contributor), Durand, Fredo (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2014-03-28T13:45:27Z.
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