sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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Creating High-Performance Linear Algebra Using Lighthouse and Build-to-Order BLAS

SESSION: Poster Reception


TIME: 5:15PM - 7:00PM

AUTHOR(S):Jeffrey J. Cook, Elizabeth R. Jessup, Sa-Lin C. Bernstein, Boyana Norris

ROOM:New Orleans Theater Lobby


Creating efficient linear algebra software is essential to HPC, but it is a time-consuming task. Typically, scientists use a Basic Linear Algebra Subprograms (BLAS) as the mathematical building-blocks for complete algorithms. They can present a steep learning curve, however, and require extensive knowledge to optimize. In order to make BLAS and derivative libraries such as LAPACK more accessible, we present Lighthouse, a web-based taxonomy of dense and sparse linear system and eigenvalue solvers [2]. With its new interface to the Build-to-Order BLAS compiler (BTO) [1], which generates custom linear algebra kernels from MATLAB-like equations, it is easy for users to create high-performance code.

Chair/Author Details:

Jeffrey J. Cook - University of Colorado

Elizabeth R. Jessup - University of Colorado

Sa-Lin C. Bernstein - Argonne National Laboratory

Boyana Norris - University of Oregon

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