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http://purl.org/net/epubs/work/63061
Record Status
Checked
Record Id
63061
Title
Challenges in Parallel Sparse Direct Linear Solvers
Contributors
J Hogg
Abstract
Sparse direct linear solvers are frequently used in both mathematical optimization and finite element methods, often on desktop machines rather than large clusters. While several well-established solvers exist, research avenues in parallel direct solvers are far from exhausted. In particular, challenges remain relating to memory optimizations and the development of practical communication minimization techniques. Of particular interest is achieving strong scaling: good speedup for a fixed size of problem as the number of cores increases. Interior point methods in particular often solve hundreds of linear systems during their execution, and are expected to do so within a few seconds at most. What we see as the main challenges will be summarised, and our current approach to tackling some of them will be presented.
Organisation
CSE-NAG
,
STFC
,
SCI-COMP
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Language
English (EN)
Type
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Presentation
Presented at Perspectives on Parallel Numerical Linear Algebra (PPNLA), University of Manchester, UK, 18 Jul 2012.
challenges.pdf
2012
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