The fastest parallel algorithm for a problem may be significantly less stable numerically than the fastest serial algorithm. We illustrate this phenomenon by a series of examples drawn from numerical linear algebra. We also show how some of these instabilities may be mitigated by better floating point arithmetic.
Title
Trading Off Parallelism and Numerical Stability
Published
1992-09-01
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
CSD-92-702
Type
Text
Extent
20 p
Archive
The Engineering Library
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