Article

Productivity and performance using partitioned global address space languages

Authors:

Katherine Yelick,

Phillip Colella,

Susan L. Graham,

Paul Hilfinger,

Parry Husbands,

Rajesh Nishtala,

Michael Welcome,

Tong WenAuthors Info & Claims

PASCO '07: Proceedings of the 2007 international workshop on Parallel symbolic computation

Pages 24 - 32

https://doi.org/10.1145/1278177.1278183

Published: 27 July 2007 Publication History

Abstract

Partitioned Global Address Space (PGAS) languages combine the programming convenience of shared memory with the locality and performance control of message passing. One such language, Unified Parallel C (UPC) is an extension of ISO C defined by a consortium that boasts multiple proprietary and open source compilers. Another PGAS language, Titanium, is a dialect of JavaTM designed for high performance scientific computation. In this paper we describe some of the highlights of two related projects, the Titanium project centered at U.C. Berkeley and the UPC project centered at Lawrence Berkeley National Laboratory. Both compilers use a source-to-source strategy that trans-lates the parallel languages to C with calls to a communication layer called GASNet. The result is portable high-performance compilers that run on a large variety of shared and distributed memory multiprocessors. Both projects combine compiler, runtime, and application efforts to demonstrate some of the performance and productivity advantages to these languages.

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Cited By

Klenk KMoayeri MGuo JClark MSpiteri R(2024)Mitigating synchronization bottlenecks in high-performance actor-model-based softwareProceedings of the SC '24 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis10.1109/SCW63240.2024.00168(1274-1287)Online publication date: 17-Nov-2024
https://dl.acm.org/doi/10.1109/SCW63240.2024.00168
Helbecque GKrishnasamy EMelab NBouvry P(2024)GPU-Accelerated Tree-Search in Chapel Versus CUDA and HIP2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)10.1109/IPDPSW63119.2024.00156(872-879)Online publication date: 27-May-2024
https://doi.org/10.1109/IPDPSW63119.2024.00156
Shan BAraya-Polo MChapman B(2024)Towards a Scalable and Efficient PGAS-Based Distributed OpenMPAdvancing OpenMP for Future Accelerators10.1007/978-3-031-72567-8_5(64-78)Online publication date: 23-Sep-2024
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Index Terms

Productivity and performance using partitioned global address space languages
1. Information systems
  1. Information storage systems
    1. Storage architectures
      1. Distributed storage
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language types
        Concurrent programming languages
        Distributed programming languages
        Parallel programming languages

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Published In

cover image ACM Conferences

PASCO '07: Proceedings of the 2007 international workshop on Parallel symbolic computation

July 2007

116 pages

ISBN:9781595937414

DOI:10.1145/1278177

General Chair:
Marc Moreno Maza
The University of Western Ontario, Canada

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 27 July 2007

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ISSAC07: International Symposium on Symbolic and Algebraic Computation

July 27 - 28, 2007

Ontario, London, Canada

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Klenk KMoayeri MGuo JClark MSpiteri R(2024)Mitigating synchronization bottlenecks in high-performance actor-model-based softwareProceedings of the SC '24 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis10.1109/SCW63240.2024.00168(1274-1287)Online publication date: 17-Nov-2024
https://dl.acm.org/doi/10.1109/SCW63240.2024.00168
Helbecque GKrishnasamy EMelab NBouvry P(2024)GPU-Accelerated Tree-Search in Chapel Versus CUDA and HIP2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)10.1109/IPDPSW63119.2024.00156(872-879)Online publication date: 27-May-2024
https://doi.org/10.1109/IPDPSW63119.2024.00156
Shan BAraya-Polo MChapman B(2024)Towards a Scalable and Efficient PGAS-Based Distributed OpenMPAdvancing OpenMP for Future Accelerators10.1007/978-3-031-72567-8_5(64-78)Online publication date: 23-Sep-2024
https://dl.acm.org/doi/10.1007/978-3-031-72567-8_5
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