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Conference papers
Towards a Parallel Hierarchical Adaptive Solver Tool
Abstract : Constraint satisfaction and combinatorial optimization problems , even when modeled with efficient metaheurisics such as local search remain computationally very intensive. Solvers stand to benefit significantly from execution on parallel systems, which are increasingly available. The architectural diversity and complexity of the latter means that these systems pose ever greater challenges in order to be effectively used, both from the point of view of the modeling effort and from that of the degree of coverage of the available computing resources. In this article we discuss impositions and design issues for a framework to make efficient use of various parallel architectures.
Cited literature [17 references]
https://hal-paris1.archives-ouvertes.fr/hal-01195526
Contributor : Danny Munera <>
Submitted on : Monday, September 7, 2015 - 9:03:43 PM
Last modification on : Sunday, January 19, 2020 - 6:38:32 PM
Document(s) archivé(s) le : Wednesday, April 26, 2017 - 3:40:00 PM
Contributor : Danny Munera <>
Submitted on : Monday, September 7, 2015 - 9:03:43 PM
Last modification on : Sunday, January 19, 2020 - 6:38:32 PM
Document(s) archivé(s) le : Wednesday, April 26, 2017 - 3:40:00 PM
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pso-14.pdf
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