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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:2.0
BEGIN:VEVENT
DTSTART:20141118T231500Z
DTEND:20141119T010000Z
LOCATION:New Orleans Theater Lobby
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: 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.
SUMMARY:Creating High-Performance Linear Algebra Using Lighthouse and Build-to-Order BLAS
PRIORITY:3
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