Using desktop computers to solve large-scale dense linear algebra problems
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Otros documentos de la autoría: Quintana-Orti, Enrique S.; Marqués-Andrés, Mercedes; Quintana-Ortí, Gregorio; Van de Geijn, Robert A.
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http://dx.doi.org/10.1007/s11227-010-0394-2 |
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Título
Using desktop computers to solve large-scale dense linear algebra problemsAutoría
Fecha de publicación
2011-11Editor
Springer Science+Business MediaISSN
0920-8542Cita bibliográfica
The Journal of Supercomputing (Nov. 2011), vol. 58, no. 2, 145-150Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.springerlink.com/content/p7v5366k852j9632/Palabras clave / Materias
Resumen
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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