Navigating Performance, Portability and Productivity

John Pennycook; Jason Sewall; Douglas W Jacobsen; Tom Deakin; Simon N McIntosh-Smith

doi:10.1109/MCSE.2021.3097276

Navigating Performance, Portability and Productivity

John Pennycook, Jason Sewall, Douglas W Jacobsen, Tom Deakin, Simon N McIntosh-Smith

Research output: Contribution to journal › Special issue (Academic Journal) › peer-review

18 Citations (Scopus)

714 Downloads (Pure)

Abstract

The phrase “performance portability” is commonly used, but may mean different things to different people. Developing a better appreciation of the needs of different software developers and a framework for talking about these needs improves our ability to define goals, design experiments, and make forward progress. This article discusses a methodology for quantifying, summarizing, visualizing, and understanding application performance portability, and programmer productivity.

Original language	English
Pages (from-to)	28-38
Number of pages	11
Journal	Computing in Science and Engineering
Volume	23
Issue number	5
Early online date	14 Jul 2021
DOIs	https://doi.org/10.1109/MCSE.2021.3097276
Publication status	Published - 1 Sept 2021

Bibliographical note

Funding Information:
The authors wish to thank the Performance, Portability, and Productivity in HPC (P3HPC) community and attendees of Dagstuhl Seminar 17431 “Performance Portability in Extreme Scale Computing: Metrics, Challenges, Solutions,” for their feedback on the ideas outlined in this article. This work was supported in part by EPSRC through the Strategic Partnership in Computational Science for Advanced Simulation and Modelling of Engineering Systems (ASiMoV) project under Grant EP/S005072/1.

Publisher Copyright:
© 1999-2011 IEEE.

Keywords

Measurement
productivity
performance evaluation
navigation
harmonic analysis

Access to Document

10.1109/MCSE.2021.3097276

Full-text PDF (accepted author manuscript)
This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Institute of Electrical and Electronics Engineers at https://ieeexplore.ieee.org/document/9484790. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 1.37 MB

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Persistent link

8030 EPSRC via Edinburgh EP/S005072/1 ASiMoV
McIntosh-Smith, S. N. (Principal Investigator)
1/10/18 → 30/09/23
Project: Research

Cite this

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title = "Navigating Performance, Portability and Productivity",

abstract = "The phrase “performance portability” is commonly used, but may mean different things to different people. Developing a better appreciation of the needs of different software developers and a framework for talking about these needs improves our ability to define goals, design experiments, and make forward progress. This article discusses a methodology for quantifying, summarizing, visualizing, and understanding application performance portability, and programmer productivity.",

keywords = "Measurement, productivity, performance evaluation, navigation, harmonic analysis",

author = "John Pennycook and Jason Sewall and Jacobsen, {Douglas W} and Tom Deakin and McIntosh-Smith, {Simon N}",

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AU - Sewall, Jason

AU - Jacobsen, Douglas W

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N1 - Funding Information: The authors wish to thank the Performance, Portability, and Productivity in HPC (P3HPC) community and attendees of Dagstuhl Seminar 17431 “Performance Portability in Extreme Scale Computing: Metrics, Challenges, Solutions,” for their feedback on the ideas outlined in this article. This work was supported in part by EPSRC through the Strategic Partnership in Computational Science for Advanced Simulation and Modelling of Engineering Systems (ASiMoV) project under Grant EP/S005072/1. Publisher Copyright: © 1999-2011 IEEE.

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AB - The phrase “performance portability” is commonly used, but may mean different things to different people. Developing a better appreciation of the needs of different software developers and a framework for talking about these needs improves our ability to define goals, design experiments, and make forward progress. This article discusses a methodology for quantifying, summarizing, visualizing, and understanding application performance portability, and programmer productivity.

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KW - productivity

KW - performance evaluation

KW - navigation

KW - harmonic analysis

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SP - 28

EP - 38

JO - Computing in Science and Engineering

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Navigating Performance, Portability and Productivity

Abstract

Bibliographical note

Keywords

Access to Document

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Projects

8030 EPSRC via Edinburgh EP/S005072/1 ASiMoV

Cite this