Matrix factorizations - PowerPoint PPT Presentation

Sparse Matrices in Matlab

Sparse Matrices in Matlab. John R. Gilbert Xerox Palo Alto Research Center with Cleve Moler (MathWorks) and Rob Schreiber (HP Labs). Design principles. All operations should give the same results for sparse and full matrices (almost all)

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Data Shackling

Data Shackling. Locality enhancement of dense numerical linear algebra codes Traversals along co-ordinate axes Data-centric reference for each statement No array copying. Workloads. Basic Linear Algebra Subroutines Dot Product : xTy Sapxy : α * x + y Matrix vector : y = A * x

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241 views • 9 slides

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