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ThinkMind // ICCGI 2014, The Ninth International Multi-Conference on Computing in the Global Information Technology // View article iccgi_2014_4_40_10152


Generating Customized Sparse Eigenvalue Solutions with Lighthouse

Authors:
Ramya Nair
Sa-Lin Bernstein
Elizabeth Jessup
Boyana Norris

Keywords: expert systems; sparse eigensolvers; machine learning.

Abstract:
Sparse eigenvalue problems arise in many areas of scientific computing. A variety of high-performance numerical software packages including many different eigensolvers are available to solve such problems. The two main challenges are finding the routines that can correctly solve the problem and implementing the desired solution accurately and efficiently using the appropriate software package. In this paper, we describe an approach that addresses these issues by intelligently identifying the sparse eigensolver that is likely to perform the best for given input characteristics and by generating a code template that uses that solver. The results are delivered to users through Lighthouse, a novel interface and search platform for users seeking high-performance solutions to linear algebra problems. This paper describes the development of the approach with a focus on the analysis of sparse eigensolvers in SLEPc and their integration into Lighthouse.

Pages: 85 to 89

Copyright: Copyright (c) IARIA, 2014

Publication date: June 22, 2014

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-346-9

Location: Seville, Spain

Dates: from June 22, 2014 to June 26, 2014

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