Autotuning multigrid with PetaBricks

Algorithmic choice is essential in any problem domain to realizing optimal computational performance. Multigrid is a prime example: not only is it possible to make choices at the highest grid resolution, but a program can switch techniques as the problem is recursively attacked on coarser grid level...

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Bibliographic Details
Main Authors: Chan, Cy, Wong, Yee Lok, Edelman, Alan, Ansel, Jason Andrew, Amarasinghe, Saman P.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computing Machinery (ACM) 2014
Online Access:http://hdl.handle.net/1721.1/85940
https://orcid.org/0000-0001-7676-3133
https://orcid.org/0000-0002-7231-7643