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A decade of progress in parallel programming productivity

Authors:

John T. Richards,

Jonathan Brezin,

Calvin B. Swart,

Christine A. HalversonAuthors Info & Claims

Communications of the ACM, Volume 57, Issue 11

Pages 60 - 66

https://doi.org/10.1145/2669484

Published: 27 October 2014 Publication History

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Abstract

Looking at the design and benefits of X10.

References

[1]

Asanovic, K., Bodik, R., Catanzaro, B.C., Gebis, J., Husbands, P., Keutzer, K., Patterson, D., Plishker, W., Shalf, J., Williams, S. and Yelick, K. The landscape of parallel computing research: a view from Berkeley. Technical Report No. UCB/EECS-2006-183. Electrical Engineering and Computer Sciences, University of California at Berkeley, 2006; http://www.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-183.pdf.

Google Scholar

[2]

Bader, D., Madduri, K., Gilbert, J., Shah, V., Kepner, J., Meuse, T. and Krishnamurthy, A. Designing scalable synthetic compact applications for benchmarking high productivity computing systems; http://www.cse.psu.edu/~madduri/papers/SSCA-CTWatch06.pdf.

Google Scholar

[3]

Danis, C. and Halverson, C. The value derived from the observational component in an integrated methodology for the study of HPC programmer productivity. In Proceedings of the Third Workshop on Productivity and Performance in High-End Computing, (2006), 11--21.

Google Scholar

[4]

Dijkstra, E., Feijen, W. and van Gasteren, A. Derivation of a termination detection algorithm for distributed computations. Information Processing Letters 16, 5 (1983), 217--219.

Crossref

Google Scholar

[5]

Ebcioglu, K., Sarkar, V., El-Ghazawi, T. and Urbanic, J. An experiment in measuring the productivity of three parallel programming languages. In Proceedings of the Third Workshop on Productivity and Performance in High-End Computing, (2006), 30--36.

Google Scholar

[6]

Halverson, C. and, Danis, C. Towards an ecologically valid study of programmer behavior for scientific computing. In Proceedings of the First Workshop on Software Engineering for Computational Science and Engineering, (2008).

Google Scholar

[7]

Saraswat, V.A., Kambadur, P., Kodali, S., Grove, D. and Krishnamoorthy, S. Lifeline-based global load balancing. In Proceedings of the 16^th ACM Symposium on Principles and Practice of Parallel Programming, (2011), 201--212.

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Zhou RJones TKandemir MJimborean AMoseley T(2019)Janus: statically-driven and profile-guided automatic dynamic binary parallelisationProceedings of the 2019 IEEE/ACM International Symposium on Code Generation and Optimization10.5555/3314872.3314877(15-25)Online publication date: 16-Feb-2019
https://dl.acm.org/doi/10.5555/3314872.3314877
Grove DHamouda SHerta BIyengar AKawachiya KMilthorpe JSaraswat VShinnar ATakeuchi MTardieu O(2019)Failure Recovery in Resilient X10ACM Transactions on Programming Languages and Systems10.1145/333237241:3(1-30)Online publication date: 2-Jul-2019
https://dl.acm.org/doi/10.1145/3332372
Zhou RJones T(2019)Janus: Statically-Driven and Profile-Guided Automatic Dynamic Binary Parallelisation2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)10.1109/CGO.2019.8661196(15-25)Online publication date: Feb-2019
https://doi.org/10.1109/CGO.2019.8661196
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Index Terms

A decade of progress in parallel programming productivity
1. Computing methodologies
  1. Concurrent computing methodologies
    1. Concurrent programming languages
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language types
        Concurrent programming languages

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Published In

Communications of the ACM Volume 57, Issue 11

November 2014

95 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/2684442

Editor:
Moshe Y. Vardi
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

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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New York, NY, United States

Publication History

Published: 27 October 2014

Published in CACM Volume 57, Issue 11

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Zhou RJones TKandemir MJimborean AMoseley T(2019)Janus: statically-driven and profile-guided automatic dynamic binary parallelisationProceedings of the 2019 IEEE/ACM International Symposium on Code Generation and Optimization10.5555/3314872.3314877(15-25)Online publication date: 16-Feb-2019
Grove DHamouda SHerta BIyengar AKawachiya KMilthorpe JSaraswat VShinnar ATakeuchi MTardieu O(2019)Failure Recovery in Resilient X10ACM Transactions on Programming Languages and Systems10.1145/333237241:3(1-30)Online publication date: 2-Jul-2019
Zhou RJones T(2019)Janus: Statically-Driven and Profile-Guided Automatic Dynamic Binary Parallelisation2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)10.1109/CGO.2019.8661196(15-25)Online publication date: Feb-2019
Hamouda SHerta BMilthorpe JGrove DTardieu OFohry CTardieu O(2016)Resilient X10 over MPI user level failure mitigationProceedings of the 6th ACM SIGPLAN Workshop on X1010.1145/2931028.2931030(18-23)Online publication date: 2-Jun-2016
Fohry CTardieu O(2016)Proceedings of the 6th ACM SIGPLAN Workshop on X10undefinedOnline publication date: 2-Jun-2016
De Wael MMarr SDe Fraine BVan Cutsem TDe Meuter W(2015)Partitioned Global Address Space LanguagesACM Computing Surveys10.1145/271632047:4(1-27)Online publication date: 26-May-2015
Kayraklioglu EEl-Ghazawi TBalaji PXu C(2015)Assessing memory access performance of chapel through synthetic benchmarksProceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing10.1109/CCGrid.2015.157(1147-1150)Online publication date: 4-May-2015

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Recommendations

Productivity in Parallel Programming: A Decade of Progress: Looking at the design and benefits of X10

Data-Parallel Programming on MIMD Computers

The spicec parallel programming system

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