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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Marques, M. Quintana-Orti, G. Quintana-Orti, E.S. van de Geijn, R.A. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Computer Sciences, The University of Texas at Austin, 78712, USA (van de Geijn, R.A.) || Depto. de Ingeniería y Ciencia de Computadores, Universidad Jaume I, 12.071-Castellón, Spain (Marques, M.; Quintana-Orti, G.; Quintana-Orti, E.S.) |
| Abstract | Few realize that for large matrices dense matrix computations achieve nearly the same performance when the matrices are stored on disk as when they are stored in a very large main memory. Similarly, few realize that, given the right programming abstractions, coding Out-of-Core (OOC) implementations of dense linear algebra operations (where data resides on disk and has to be explicitly moved in and out of main memory) is no more difficult than programming high-performance implementations for the case where the matrix is in memory. Finally, few realize that on a contemporary eight core architecture one can solve a 100, 000 × 100, 000 dense symmetric positive definite linear system in about an hour. Thus, for problems that used to be considered large, it is not necessary to utilize distributed-memory architectures with massive memories if one is willing to wait longer for the solution to be computed on a fast multithreaded architecture like an SMP or multi-core computer. This paper provides evidence in support of these claims. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 124105 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424437511 |
| ISSN | 15302075 |
| DOI | 10.1109/IPDPS.2009.5161162 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-23 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multicore processing Linear algebra Linear programming Computer architecture Libraries Linear systems Distributed computing Fires Symmetric matrices Memory architecture |
| Content Type | Text |
| Resource Type | Article |
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