Portable performance on heterogeneous architectures

Trends in both consumer and high performance computing are bringing not only more cores, but also increased heterogeneity among the computational resources within a single machine. In many machines, one of the greatest computational resources is now their graphics coprocessors (GPUs), not just their...

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Bibliographic Details
Main Authors: Phothilimthana, Phitchaya Mangpo (Contributor), Ansel, Jason Andrew (Contributor), Ragan-Kelley, Jonathan Millar (Contributor), Amarasinghe, Saman P. (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), 2014-03-28T14:06:54Z.
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