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OmpSs-OpenCL programming model for heterogeneous systems

Author
Elangovan, V.; Badia, R.M.; Ayguade, E.
Type of activity
Presentation of work at congresses
Name of edition
25th International Workshop on Languages and Compilers for Parallel Computing
Date of publication
2013
Presentation's date
2012-09
Book of congress proceedings
Languages and Compilers for Parallel Computing: 25th International Workshop, LCPC 2012, Tokyo, Japan, September 11-13, 2012: revised selected papers
First page
96
Last page
111
Publisher
Springer
DOI
https://doi.org/10.1007/978-3-642-37658-0_7 Open in new window
Project funding
Computación de altas prestaciones V: arquitecturas, compiladores, sistemas operativos, herramientas y aplicaciones
Repository
http://hdl.handle.net/2117/23333 Open in new window
Abstract
The advent of heterogeneous computing has forced programmers to use platform specific programming paradigms in order to achieve maximum performance. This approach has a steep learning curve for programmers and also has detrimental influence on productivity and code re-usability. To help with this situation, OpenCL an open-source, parallel computing API for cross platform computations was conceived. OpenCL provides a homogeneous view of the computational resources (CPU and GPU) thereby enabling s...
Citation
Elangovan, V.; Badia, R.M.; Ayguade, E. OmpSs-OpenCL programming model for heterogeneous systems. A: International Workshop on Languages and Compilers for Parallel Computing. "Languages and Compilers for Parallel Computing: 25th International Workshop, LCPC 2012, Tokyo, Japan, September 11-13, 2012: revised selected papers". Tokyo: Springer, 2013, p. 96-111.
Group of research
CAP - High Performace Computing Group

Participants