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Productive cluster programming with OmpSs

Author
Bueno, J.; Martinell, L.; Duran, A.; Farreras, M.; Martorell, X.; Badia, R.M.; Ayguade, E.; Labarta, J.
Type of activity
Presentation of work at congresses
Name of edition
International European Conference on Parallel and Distributed Computing 2011
Date of publication
2011
Presentation's date
2011-09-01
Book of congress proceedings
Euro-Par 2011: Parallel Processing: 17th International Conference, Euro-Par 2011: Bordeaux, France, August 29–September 2, 2011: proceedings, Part I
First page
555
Last page
566
Publisher
Springer
DOI
https://doi.org/10.1007/978-3-642-23400-2_52 Open in new window
Repository
http://hdl.handle.net/2117/117442 Open in new window
URL
http://www.springerlink.com/content/h651535n000203x6/ Open in new window
Abstract
Clusters of SMPs are ubiquitous. They have been traditionally programmed by using MPI. But, the productivity of MPI programmers is low because of the complexity of expressing parallelism and communication, and the difficulty of debugging. To try to ease the burden on the programmer new programming models have tried to give the illusion of a global shared-address space (e.g., UPC, Co-array Fortran). Unfortunately, these models do not support, increasingly common, irregular forms of parallelism th...
Citation
Bueno, J., Martinell, L., Duran, A., Farreras, M., Martorell, X., Badia, R.M., Ayguade, E., Labarta, J. Productive cluster programming with OmpSs. A: International European Conference on Parallel and Distributed Computing. "Euro-Par 2011: Parallel Processing: 17th International Conference, Euro-Par 2011: Bordeaux, France, August 29–September 2, 2011: proceedings, Part I". Springer, 2011, p. 555-566.
Keywords
Address space, Distribute shared memory, Master node, Remote node, Task parallelism
Group of research
CAP - High Performace Computing Group

Participants