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• W2007451472 abstract "We have built a body of evidence which shows that, given a mathematical specification of a dense linear algebra operation to be implemented, it is possible to mechanically derive families of algorithms and subsequently to mechanically translate these algorithms into high-performing code. In this paper, we add to this evidence by showing that the algorithms can be statically analyzed and translated into directed acyclic graphs (DAGs) of coarse-grained operations that are to be performed. DAGs naturally express parallelism, which we illustrate by representing the DAGs with the G graphical programming language used by LabVIEW. The LabVIEW compiler and runtime execution system then exploit parallelism from the resulting code. Respectable speedup on a sixteen core architecture is reported." @default.
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• W2007451472 date "2010-04-01" @default.
• W2007451472 modified "2023-09-23" @default.
• W2007451472 title "Transforming linear algebra libraries: From abstraction to parallelism" @default.
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• W2007451472 doi "https://doi.org/10.1109/ipdpsw.2010.5470879" @default.
• W2007451472 hasPublicationYear "2010" @default.
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