Abstract | ||
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In this paper, we discuss a more scalable OOC implementation of a dense linear system solver via LU factorization that presents numerical stability similar to that of the LU factorization with partial pivoting. Our implementation builds on the Formal Linear Algebra Methods Environment (FLAME), the Parallel Linear Algebra Package (PLAPACK), and the Parallel Out-of-Core Linear Algebra Package (POOCLAPACK) infrastructures. Experimental results on an Intel Itanium2 (R) platform demonstrate the high performance of this approach. |
Year | DOI | Venue |
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2004 | 10.1007/11558958_49 | PARA |
Keywords | Field | DocType |
intel itanium2,formal linear algebra methods,lu factorization,rapid development,dense linear system solver,numerical stability,high performance,parallel out-of-core linear algebra,parallel linear algebra package,high-performance out-of-core solvers,scalable ooc implementation,linear algebra,linear system | Linear algebra,Linear system,Computer science,Parallel algorithm,Parallel computing,Pivot element,Solver,LU decomposition,Numerical stability,Numerical linear algebra | Conference |
Volume | ISSN | ISBN |
3732 | 0302-9743 | 3-540-29067-2 |
Citations | PageRank | References |
13 | 1.52 | 7 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thierry Joffrain | 1 | 21 | 2.17 |
Enrique S. Quintana-Ortí | 2 | 1317 | 150.59 |
Robert A. van de Geijn | 3 | 2047 | 203.08 |