Using desktop computers to solve large-scale dense linear algebra problems
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Other documents of the author: Quintana-Orti, Enrique S.; Marqués-Andrés, Mercedes; Quintana-Ortí, Gregorio; Van de Geijn, Robert A.
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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http://dx.doi.org/10.1007/s11227-010-0394-2 |
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Title
Using desktop computers to solve large-scale dense linear algebra problemsAuthor (s)
Date
2011-11Publisher
Springer Science+Business MediaISSN
0920-8542Bibliographic citation
The Journal of Supercomputing (Nov. 2011), vol. 58, no. 2, 145-150Type
info:eu-repo/semantics/articlePublisher version
http://www.springerlink.com/content/p7v5366k852j9632/Subject
Abstract
We provide experimental evidence that current desktop computers feature enough computational power to solve large-scale dense linear algebra problems. While the high computational cost of the numerical methods for ... [+]
We provide experimental evidence that current desktop computers feature enough computational power to solve large-scale dense linear algebra problems. While the high computational cost of the numerical methods for solving these problems can be tackled by the multiple cores of current processors, we propose to use the disk to store the large data structures associated with these applications. Our results also show that the limited amount of RAM and the comparatively slow disk of the system pose no problem for the solution of very large dense linear systems and linear least-squares problems. Thus, current desktop computers are revealed as an appealing, cost-effective platform for research groups that have to deal with large dense linear algebra problems but have no direct access to large computing facilities. [-]
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