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Parallel consistency in constraint programming

Rolf, Carl Christian LU and Kuchcinski, Krzysztof LU (2009) MCC09: Second Swedish Workshop on Multi-Core Computing
Abstract
Program parallelization becomes increasingly important when new multi-core architectures provide ways to improve performance. One of the greatest challenges of this development lies in programming parallel applications. Using declarative languages, such as constraint programming, can make the transition to parallelism easier by hiding the parallelization details in a framework.



Automatic parallelization in constraint programming has previously focused on data parallelism. In this paper, we look at task parallelism, specifically the case of parallel consistency. We have developed two models of parallel consistency, one that shares intermediate results and one that does not. We evaluate which model is better in our... (More)
Program parallelization becomes increasingly important when new multi-core architectures provide ways to improve performance. One of the greatest challenges of this development lies in programming parallel applications. Using declarative languages, such as constraint programming, can make the transition to parallelism easier by hiding the parallelization details in a framework.



Automatic parallelization in constraint programming has previously focused on data parallelism. In this paper, we look at task parallelism, specifically the case of parallel consistency. We have developed two models of parallel consistency, one that shares intermediate results and one that does not. We evaluate which model is better in our experiments. Our results show that parallelizing consistency can provide the programmer with a robust scalability for regular problems with global constraints. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
in press
subject
pages
8 pages
conference name
MCC09: Second Swedish Workshop on Multi-Core Computing
language
English
LU publication?
yes
id
ec3aa2bf-8cc4-4802-ba31-e08c44320c62 (old id 1503903)
date added to LUP
2009-11-16 14:52:09
date last changed
2016-07-06 11:11:13
@misc{ec3aa2bf-8cc4-4802-ba31-e08c44320c62,
  abstract     = {Program parallelization becomes increasingly important when new multi-core architectures provide ways to improve performance. One of the greatest challenges of this development lies in programming parallel applications. Using declarative languages, such as constraint programming, can make the transition to parallelism easier by hiding the parallelization details in a framework.<br/><br>
<br/><br>
Automatic parallelization in constraint programming has previously focused on data parallelism. In this paper, we look at task parallelism, specifically the case of parallel consistency. We have developed two models of parallel consistency, one that shares intermediate results and one that does not. We evaluate which model is better in our experiments. Our results show that parallelizing consistency can provide the programmer with a robust scalability for regular problems with global constraints.},
  author       = {Rolf, Carl Christian and Kuchcinski, Krzysztof},
  language     = {eng},
  pages        = {8},
  title        = {Parallel consistency in constraint programming},
  year         = {2009},
}