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Symmetric rank-k update on clusters of multicore processors with SMPSs

Author
Badia, R.M.; Labarta, J.; Marjanovic, V.; Martín, A. F.; Mayo, R.; Quintana, E.; Reyes, R.
Type of activity
Presentation of work at congresses
Name of edition
ParCo 2011-International Conference on Parallel Computing
Date of publication
2011
Presentation's date
2011-09
Book of congress proceedings
Applications, Tools and Techniques on the Road to Exascale Computing
First page
657
Last page
664
Publisher
IOS Press
DOI
10.3233/978-1-61499-041-3-657
Repository
http://hdl.handle.net/2117/19425 Open in new window
URL
http://ebooks.iospress.nl/publication/26591 Open in new window
Abstract
We investigate the use of the SMPSs programming model to leverage task parallelism in the execution of a message-pas sing implementation of the symmetric rank- k update on clusters equipped with multicore processors. Our experience shows that the major difficulties to adapt the code to the MPI/SMPSs instance of this programming model are due to the usage of the conventional column-major layout of matrices in numerical libraries. On the other hand, the experimental results show a considerable inc...
Citation
Badia, R.M. [et al.]. Symmetric rank-k update on clusters of multicore processors with SMPSs. A: International Conference on Parallel Computing. "Applications, Tools and Techniques on the Road to Exascale Computing". Ghent: IOS Press, 2011, p. 657-664.
Keywords
Clusters of multi-core processors, Linear algebra, Message passing numerical libraries, SMPSs, ScaLAPACK
Group of research
ANiComp - Numerical analysis and scientific computation
CAP - High Performace Computing Group

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