SC13 Home > SC13 Schedule > SC13 Presentation - Optimizing Built-To-Order BLAS while Considering Matrix Order

SCHEDULE: NOV 16-22, 2013

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Optimizing Built-To-Order BLAS while Considering Matrix Order

SESSION: Research Poster Reception

EVENT TYPE: Posters, Electronic Posters, and Education Posters

TIME: 5:15PM - 7:00PM

AUTHOR(S):Robert Crimi, Elizabeth Jessup, Thomas Nelson, Jeremy Siek

ROOM:Mile High Pre-Function

Linear Algebra has always been a very useful tool in the field of Computer Science. Many techniques have been developed to help in the writing of graphics, internet search, and scientific computing algorithms. Such applications often use sequences of Basic Linear Algebra Subprograms (BLAS), and highly efficient implementations of those routines enable scientists to achieve high performance at little cost. The BLAS evolved from basic problems, such as dot products, to a large database including more complex problems, such as a matrix-matrix multiplication. Computer scientists apply tuning techniques to improve data locality and create highly efficient implementations of the Basic Linear Algebra Subprograms and LAPACK, enabling scientists to build high-performance software at reduced cost. However, because the BLAS are individually optimized, when piecing together different BLAS routines, users may not see the performance they desire. Thus, BTO is being developed to handle these situations

Chair/Author Details:

Robert Crimi - University Of Colorado Boulder

Elizabeth Jessup - University Of Colorado Boulder

Thomas Nelson - University Of Colorado Boulder

Jeremy Siek - Indiana University, University Of Colorado

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