Abstract | ||
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Two electrical engineering applications from industry partners dealing with sparse matrices were analyzed regarding cache efficiency and scalability on modern multi core systems. Two different contemporary multi-core architectures have been investigated, namely Intel's Westmere and AMD's Magny-Cours. This paper can be regarded as a continuation of the investigations presented in [14] and [15]. In addition, the SuiteSparseQR library for efficiently computing QR factorizations of sparse matrices was evaluated regarding scalability and cache efficiency. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/978-3-642-23178-0_8 | PACT |
Keywords | Field | DocType |
modern multi core system,sparse matrix,qr factorization,electrical engineering application,industry partner,different contemporary multi-core architecture,suitesparseqr library,cache efficiency,amdahl s law,multi core | Cache,Computer science,Amdahl's law,Parallel computing,Continuation,Cache algorithms,Smart Cache,Multi-core processor,Sparse matrix,Scalability | Conference |
Volume | ISSN | Citations |
6873 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thomas Müller | 1 | 0 | 0.34 |
Carsten Trinitis | 2 | 151 | 29.80 |
Jasmin Smajic | 3 | 7 | 2.13 |