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  1. Proceedings of the 2nd International Workshop on Software Engineering for Parallel Systems (SEPS 2015)
  2. Lighthouse: a taxonomy-based solver selection tool
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Lighthouse: a taxonomy-based solver selection tool

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Lighthouse: a taxonomy-based solver selection tool

Content Provider ACM Digital Library
Author Jessup, Elizabeth Sood, Kanika Norris, Boyana
Abstract Linear algebra provides the building blocks for a wide variety of scientific and engineering simulation codes. Users face a world of continuously developing new algorithms and high-performance implementations of these fundamental calculations. In this paper, we describe new capabilities of our Lighthouse framework, whose goal is to match specific problems in the area of high-performance numerical computing with the best available solutions developed by experts. Lighthouse provides a searchable taxonomy of popular but difficult to use numerical software for dense and sparse linear algebra. Because multiple algorithms and implementations of the same mathematical operations are available, Lighthouse also classifies algorithms based on their performance. We introduce the design of Lighthouse and show some examples of the taxonomy interfaces and algorithm classification results for the preconditioned iterative linear solvers in the Parallel Extensible Toolkit for Scientific Computation (PETSc). .
Starting Page 66
Ending Page 70
Page Count 5
File Format PDF
ISBN 9781450339100
DOI 10.1145/2837476.2837485
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-10-27
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Taxonomy Linear algebra Machine learning Mathematical software
Content Type Text
Resource Type Article
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