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Declarative coordination of graph-based parallel programs

Authors:

Seth Copen GoldsteinAuthors Info & Claims

ACM SIGPLAN Notices, Volume 51, Issue 8

Article No.: 4, Pages 1 - 12

https://doi.org/10.1145/3016078.2851153

Published: 27 February 2016 Publication History

Abstract

Declarative programming has been hailed as a promising approach to parallel programming since it makes it easier to reason about programs while hiding the implementation details of parallelism from the programmer. However, its advantage is also its disadvantage as it leaves the programmer with no straightforward way to optimize programs for performance. In this paper, we introduce Coordinated Linear Meld (CLM), a concurrent forward-chaining linear logic programming language, with a declarative way to coordinate the execution of parallel programs allowing the programmer to specify arbitrary scheduling and data partitioning policies. Our approach allows the programmer to write graph-based declarative programs and then optionally to use coordination to fine-tune parallel performance. In this paper we specify the set of coordination facts, discuss their implementation in a parallel virtual machine, and show---through example---how they can be used to optimize parallel execution. We compare the performance of CLM programs against the original uncoordinated Linear Meld and several other frameworks.

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Cited By

Ciccozzi FAddazi LAsadollah SLisper BMasud AMubeen S(2022)A Comprehensive Exploration of Languages for Parallel ComputingACM Computing Surveys10.1145/348500855:2(1-39)Online publication date: 18-Jan-2022
https://dl.acm.org/doi/10.1145/3485008
Houshmand FLesani MVora K(2021)Grafs: declarative graph analyticsProceedings of the ACM on Programming Languages10.1145/34735885:ICFP(1-32)Online publication date: 19-Aug-2021
https://dl.acm.org/doi/10.1145/3473588
IWASAKI HEMOTO KMORIHATA AMATSUZAKI KHU Z(2022)Fregel: a functional domain-specific language for vertex-centric large-scale graph processingJournal of Functional Programming10.1017/S095679682100027732Online publication date: 20-Jan-2022
https://doi.org/10.1017/S0956796821000277
Show More Cited By

Index Terms

Declarative coordination of graph-based parallel programs
1. Computing methodologies
  1. Parallel computing methodologies
    1. Parallel programming languages
2. Software and its engineering
  1. Software notations and tools
    1. Compilers
      1. Runtime environments
    2. General programming languages
      1. Language types
        Parallel programming languages

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Information & Contributors

Information

Published In

cover image ACM SIGPLAN Notices

ACM SIGPLAN Notices Volume 51, Issue 8

PPoPP '16

August 2016

405 pages

ISSN:0362-1340

EISSN:1558-1160

DOI:10.1145/3016078

Editor:
Matthew Fluet

Issue’s Table of Contents

PPoPP '16: Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
February 2016
420 pages
ISBN:9781450340922
DOI:10.1145/2851141
General Chair:
Rafael Asenjo
University of Málaga, Spain
,
Program Chair:
Tim Harris
Oracle Labs, Cambridge, UK

Copyright © 2016 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 February 2016

Published in SIGPLAN Volume 51, Issue 8

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European Regional Development Fund (ERDF) through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme
National Funds through the Portuguese funding agency - Fundao para a Ciencia e a Tecnologia (FCT)

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Cited By

Ciccozzi FAddazi LAsadollah SLisper BMasud AMubeen S(2022)A Comprehensive Exploration of Languages for Parallel ComputingACM Computing Surveys10.1145/348500855:2(1-39)Online publication date: 18-Jan-2022
https://dl.acm.org/doi/10.1145/3485008
Houshmand FLesani MVora K(2021)Grafs: declarative graph analyticsProceedings of the ACM on Programming Languages10.1145/34735885:ICFP(1-32)Online publication date: 19-Aug-2021
https://dl.acm.org/doi/10.1145/3473588
IWASAKI HEMOTO KMORIHATA AMATSUZAKI KHU Z(2022)Fregel: a functional domain-specific language for vertex-centric large-scale graph processingJournal of Functional Programming10.1017/S095679682100027732Online publication date: 20-Jan-2022
https://doi.org/10.1017/S0956796821000277
Houshmand FLesani MVora K(2021)Grafs: declarative graph analyticsProceedings of the ACM on Programming Languages10.1145/34735885:ICFP(1-32)Online publication date: 19-Aug-2021
https://dl.acm.org/doi/10.1145/3473588
Morihata AEmoto KMatsuzaki KHu ZIwasaki H(2018)Optimizing Declarative Parallel Distributed Graph Processing by Using Constraint SolversFunctional and Logic Programming10.1007/978-3-319-90686-7_11(166-181)Online publication date: 24-Apr-2018
https://doi.org/10.1007/978-3-319-90686-7_11

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