Runtime interprocedural data placement optimisation for lazy parallel libraries

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1300 LNCS, Issue , 1997, Pages 306-309

  Beckmann, Olav ^a   Kelly, Paul H J ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

DATA DISTRIBUTION; DATA PLACEMENT; EXPENSIVE PARTS; INTER-PROCEDURAL; MATHEMATICAL FORMULATION; NUMERICAL PROGRAMS; PARALLEL LIBRARY; SEQUENTIAL LIBRARIES;

MATHEMATICAL OPERATORS;

EID: 84882686834     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0002749     Document Type: Conference Paper

References (5)

1. Richard Barrett, Mike Berry, Tony Chan, Jim Demmel, June Donato, Jack Dongarra, Victor Eijkhout, Roldan Pozo, Chuck Romine, and Henk van der Vorst. Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 1994.
2. Olav Beckmann. A lazy, self-optimising parallel matrix library. Master's thesis, Department of Computing, Imperial College, London SW7 2AZ, U.K., 1996.
3. Paul Feautrier. Toward automatic distribution. Parallel Processing Letters, 4(3):233-244, 1994.
4. Simon Govier and Paul H. J. Kelly. A lazy, self-optimising parallel matrix library. In David N. Turner et al., editor, Glasgow Functional Programming Workshop, Ullapool, July 1995. Springer-Verlag.
5. Mary E. Mace. Storage Patterns in Parallel Processing. Kluwer Academic Press, 1987.