Extending abstract GPU APIs to shared memory

Authors:
Ferosh Jacob
Affiliations:
University of Alabama, Tuscaloosa, AL, USA
Venue:
Proceedings of the ACM international conference companion on Object oriented programming systems languages and applications companion
Year:
2010

Citing 3
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Abstract

Parallel programming is used extensively for general-purpose computations. However, performance of parallel APIs varies for a given problem and a given architecture. This gives rise to the need for having an abstract way to express the parallel problems. This poster presents a new approach through which programmers can access these APIs without having to focus on the technical or platform-specific details. Our earlier approach of Abstract Application Programming Interface (API) targeted for Graphical Processing Unit (GPU) programming is extended to shared memory using OpenMP.