Publication | Closed Access
The science of deriving dense linear algebra algorithms
129
Citations
16
References
2005
Year
Mathematical ProgrammingNew High-performance AlgorithmsArray ComputingEngineeringAlgorithmic LibraryHigh-performance AlgorithmsComputer EngineeringLarge SetAnalysis Of AlgorithmComputational ComplexityAlgebraic MethodParallel ProgrammingComputer ScienceMatrix TheoryParallel ComputingMatrix AnalysisApproximation TheoryAlgorithmic Development
In this article we present a systematic approach to the derivation of families of high-performance algorithms for a large set of frequently encountered dense linear algebra operations. As part of the derivation a constructive proof of the correctness of the algorithm is generated. The article is structured so that it can be used as a tutorial for novices. However, the method has been shown to yield new high-performance algorithms for well-studied linear algebra operations and should also be of interest to those who wish to produce best-in-class high-performance codes.
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