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Media type:
E-Article
Title:
A review of literature on parallel constraint solving
Contributor:
GENT, IAN P.;
MIGUEL, IAN;
NIGHTINGALE, PETER;
MCCREESH, CIARAN;
PROSSER, PATRICK;
MOORE, NEIL C. A.;
UNSWORTH, CHRIS
imprint:
Cambridge University Press (CUP), 2018
Published in:Theory and Practice of Logic Programming
Language:
English
DOI:
10.1017/s1471068418000340
ISSN:
1471-0684;
1475-3081
Origination:
Footnote:
Description:
<jats:title>Abstract</jats:title><jats:p>As multi-core computing is now standard, it seems irresponsible for constraints researchers to ignore the implications of it. Researchers need to address a number of issues to exploit parallelism, such as: investigating which constraint algorithms are amenable to parallelisation; whether to use shared memory or distributed computation; whether to use static or dynamic decomposition; and how to best exploit portfolios and cooperating search. We review the literature, and see that we can sometimes do quite well, some of the time, on some instances, but we are far from a general solution. Yet there seems to be little overall guidance that can be given on how best to exploit multi-core computers to speed up constraint solving. We hope at least that this survey will provide useful pointers to future researchers wishing to correct this situation.</jats:p>