Extending abstract GPU APIs to shared memory
University of Alabama, Tuscaloosa, AL, USA
Proceedings of the ACM international conference companion on Object oriented programming systems languages and applications companion, SPLASH ’10
@inproceedings{jacob2010extending,
title={Extending abstract GPU APIs to shared memory},
author={Jacob, F.},
booktitle={Proceedings of the ACM international conference companion on Object oriented programming systems languages and applications companion},
pages={217–218},
year={2010},
organization={ACM}
}
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.
August 19, 2011 by hgpu
