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On the Implementation of an Or-Parallel Prolog System for Clusters of Multicores

Published online by Cambridge University Press:  14 October 2016

JÕAO SANTOS  and
RICARDO ROCHA Open the ORCID record for RICARDO ROCHA [Opens in a new window]
JÕAO SANTOS
Affiliation:
CRACS & INESC TEC and Faculty of Sciences, University of Porto, Rua do Campo Alegre, 1021, 4169-007 Porto, Portugal (e-mail: [email protected], [email protected])
RICARDO ROCHA
Affiliation:
CRACS & INESC TEC and Faculty of Sciences, University of Porto, Rua do Campo Alegre, 1021, 4169-007 Porto, Portugal (e-mail: [email protected], [email protected])
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Abstract

Nowadays, clusters of multicores are becoming the norm and, although, many or-parallel Prolog systems have been developed in the past, to the best of our knowledge, none of them was specially designed to explore the combination of shared and distributed memory architectures. In recent work, we have proposed a novel computational model specially designed for such combination which introduces a layered model with two scheduling levels, one for workers sharing memory resources, which we named a team of workers, and another for teams of workers (not sharing memory resources). In this work, we present a first implementation of such model and for that we revive and extend the YapOr system to exploit or-parallelism between teams of workers. We also propose a new set of built-in predicates that constitute the syntax to interact with an or-parallel engine in our platform. Experimental results show that our implementation is able to increase speedups as we increase the number of workers per team, thus taking advantage of the maximum number of cores in a machine, and to increase speedups as we increase the number of teams, thus taking advantage of adding more computer nodes to a cluster.

Keywords

Or-parallelismEnvironment CopyingSchedulingImplementationPerformance
Type
Regular Papers
Information
Theory and Practice of Logic Programming , Volume 16 , Special Issue 5-6: 32nd International Conference on Logic Programming , September 2016 , pp. 899 - 915
Copyright
Copyright © Cambridge University Press 2016 

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