survey

Partitioned Global Address Space Languages

Authors:

Mattias De Wael,

Bruno De Fraine,

Tom Van Cutsem,

Wolfgang De MeuterAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 47, Issue 4

Article No.: 62, Pages 1 - 27

https://doi.org/10.1145/2716320

Published: 26 May 2015 Publication History

Abstract

The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to improve programmer productivity while at the same time aiming for high performance. The main premise of PGAS is that a globally shared address space improves productivity, but that a distinction between local and remote data accesses is required to allow performance optimizations and to support scalability on large-scale parallel architectures. To this end, PGAS preserves the global address space while embracing awareness of nonuniform communication costs.

Today, about a dozen languages exist that adhere to the PGAS model. This survey proposes a definition and a taxonomy along four axes: how parallelism is introduced, how the address space is partitioned, how data is distributed among the partitions, and finally, how data is accessed across partitions. Our taxonomy reveals that today’s PGAS languages focus on distributing regular data and distinguish only between local and remote data access cost, whereas the distribution of irregular data and the adoption of richer data access cost models remain open challenges.

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https://doi.org/10.1109/IPDPS57955.2024.00071
Finnerty PPosner JBürger JTakaoka LKanzaki T(2024)On the Performance of Malleable APGAS Programs and Batch Job SchedulersSN Computer Science10.1007/s42979-024-02641-75:4Online publication date: 27-Mar-2024
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Index Terms

Partitioned Global Address Space Languages
1. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language features
      2. Language types

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Published In

cover image ACM Computing Surveys

ACM Computing Surveys Volume 47, Issue 4

July 2015

573 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/2775083

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering/University of Florida/Gainesville, FL

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Copyright © 2015 ACM.

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Publication History

Published: 26 May 2015

Accepted: 01 January 2015

Revised: 01 November 2014

Received: 01 June 2013

Published in CSUR Volume 47, Issue 4

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Cited By

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https://doi.org/10.1109/IPDPS57955.2024.00071
Finnerty PPosner JBürger JTakaoka LKanzaki T(2024)On the Performance of Malleable APGAS Programs and Batch Job SchedulersSN Computer Science10.1007/s42979-024-02641-75:4Online publication date: 27-Mar-2024
https://dl.acm.org/doi/10.1007/s42979-024-02641-7
Salvaneschi GWeisenburger P(2024)Bridging Between Active Objects: Multitier Programming for Distributed, Concurrent SystemsActive Object Languages: Current Research Trends10.1007/978-3-031-51060-1_4(92-122)Online publication date: 29-Jan-2024
https://doi.org/10.1007/978-3-031-51060-1_4
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Bartelheimer NNeuwirth S(2023)Toward Reproducible Benchmarking of PGAS and MPI Communication Schemes2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)10.1109/ICPADS60453.2023.00268(1959-1967)Online publication date: 17-Dec-2023
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Finnerty PTakaoka LKanzaki TPosner J(2023)Malleable APGAS Programs and Their Support in Batch Job SchedulersEuro-Par 2023: Parallel Processing Workshops10.1007/978-3-031-48803-0_8(89-101)Online publication date: 28-Aug-2023
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