Paper Info
Title
Lighthouse: a taxonomy-based solver selection tool.
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).
Year
DOI
Venue
2015
10.1145/2837476.2837485
SEPS@SPLASH
Field
DocType
Citations 
Numerical computing,Linear algebra,Operation,Programming language,Computer science,Implementation,Theoretical computer science,Mathematical software,Solver,Numerical analysis,Extensibility
Conference
0
PageRank 
References 
Authors
0.34
13
3
Name
Order
Citations
PageRank
Kanika Sood130.73
Boyana Norris241739.46
Elizabeth R. Jessup337049.02