Abstract
This article describes the context, design, and recent development of the LAPACK for Clusters (LFC) project. It has been developed in the framework of Self-Adapting Numerical Software (SANS) since we believe such an approach can deliver the convenience and ease of use of existing sequential environments bundled with the power and versatility of highly-tuned parallel codes that execute on clusters. Accomplishing this task is far from trivial as we argue in the paper by presenting pertinent case studies and possible usage scenarios. © Springer-Verlag Berlin Heidelberg 2003.
Original language | English |
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Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci. |
Publisher | Springer Nature |
Pages | 665-672 |
Number of pages | 7 |
Volume | 2659 |
Publication status | Published - 2003 |
Event | Computational Science - ICCS 2003, International Conference, Melbourne, Australia and St. Petersburg, Russia, June 2-4, 2003. Proceedings, Part III - Duration: 1 Jan 1824 → … http://dblp.uni-trier.de/db/conf/iccS/iccS2003-3.html#LeeDR03http://dblp.uni-trier.de/rec/bibtex/conf/iccS/LeeDR03.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/iccS/LeeDR03 |
Publication series
Name | Lecture Notes in Computer Science |
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Conference
Conference | Computational Science - ICCS 2003, International Conference, Melbourne, Australia and St. Petersburg, Russia, June 2-4, 2003. Proceedings, Part III |
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Period | 1/01/24 → … |
Internet address |