research-article

Understanding the High-Performance-Computing Community: A Software Engineer's Perspective

Authors:

Jeffrey K. Hollingsworth,

Forrest Shull,

Marvin V. ZelkowitzAuthors Info & Claims

IEEE Software, Volume 25, Issue 4

Pages 29 - 36

https://doi.org/10.1109/MS.2008.103

Published: 01 July 2008 Publication History

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Abstract

Studies of computational scientists developing software for high-performance computing systems indicate that these scientists face unique software engineering issues. Previous failed attempts to transfer SE technologies to this domain haven't always taken these issues into account. To support scientific-software development, the SE community can disseminate appropriate practices and processes, develop educational materials specifically for computational scientists, and investigate the large-scale reuse of development frameworks.

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Pertseva EChang MZaman UCoblenz MRoychoudhury APaiva AAbreu RStorey M(2024)A Theory of Scientific Programming EfficacyProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639139(1-12)Online publication date: 20-May-2024
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Understanding the High-Performance-Computing Community: A Software Engineer's Perspective

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Information

Published In

IEEE Software Volume 25, Issue 4

July 2008

92 pages

ISSN:0740-7459

Issue’s Table of Contents

Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 July 2008

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Pertseva EChang MZaman UCoblenz MRoychoudhury APaiva AAbreu RStorey M(2024)A Theory of Scientific Programming EfficacyProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639139(1-12)Online publication date: 20-May-2024
https://dl.acm.org/doi/10.1145/3597503.3639139
Lin XSimon MNiu N(2021)Scientific Software Testing Goes Serverless: Creating and Invoking Metamorphic FunctionsIEEE Software10.1109/MS.2020.302946838:1(61-67)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1109/MS.2020.3029468
Wiese IPolato IPinto G(2020)Naming the Pain in Developing Scientific SoftwareIEEE Software10.1109/MS.2019.289983837:4(75-82)Online publication date: 18-Jun-2020
https://dl.acm.org/doi/10.1109/MS.2019.2899838
Dongarra JTourancheau BTeixeira TGropp WPadua D(2019)Managing code transformations for better performance portabilityInternational Journal of High Performance Computing Applications10.1177/109434201986560633:6(1290-1306)Online publication date: 1-Nov-2019
https://dl.acm.org/doi/10.1177/1094342019865606
Lin XSimon MNiu NCarver JHong NJay C(2018)Hierarchical metamorphic relations for testing scientific softwareProceedings of the International Workshop on Software Engineering for Science10.1145/3194747.3194750(1-8)Online publication date: 2-Jun-2018
https://dl.acm.org/doi/10.1145/3194747.3194750
Johanson AHasselbring W(2018)Software Engineering for Computational ScienceComputing in Science and Engineering10.1109/MCSE.2018.02165134320:2(90-109)Online publication date: 1-Mar-2018
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Storer T(2017)Bridging the ChasmACM Computing Surveys10.1145/308422550:4(1-32)Online publication date: 25-Aug-2017
https://dl.acm.org/doi/10.1145/3084225
Hashimoto MTerai MMaeda TMinami KBinder WCortellessa VKoziolek ASmirni EPoess M(2017)An Empirical Study of Computation-Intensive Loops for Identifying and Classifying Loop KernelsProceedings of the 8th ACM/SPEC on International Conference on Performance Engineering10.1145/3030207.3030217(361-372)Online publication date: 17-Apr-2017
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Meade ADeeptimahanti DBuckley JCollins J(2017)An empirical study of data decomposition for software parallelizationJournal of Systems and Software10.1016/j.jss.2016.02.002125:C(401-416)Online publication date: 1-Mar-2017
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Johanson AHasselbring W(2017)Effectiveness and efficiency of a domain-specific language for high-performance marine ecosystem simulationEmpirical Software Engineering10.1007/s10664-016-9483-z22:4(2206-2236)Online publication date: 1-Aug-2017
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High-Performance Computing Education

Engaging the net generation with evidence-based software engineering through a community-driven web database

High-Performance Computing for Rotorcraft Modeling and Simulation

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