License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
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DOI: 10.4230/DagRep.7.10.84
URN: urn:nbn:de:0030-drops-86642
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8664/
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Dubey, Anshu ; Kelly, Paul H. J. ; Mohr, Bernd ; Vetter, Jeffrey S.
Weitere Beteiligte (Hrsg. etc.): Anshu Dubey and Paul H. J. Kelly and Bernd Mohr and Jeffrey S. Vetter

Performance Portability in Extreme Scale Computing (Dagstuhl Seminar 17431)

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dagrep_v007_i010_p084_17431.pdf (2 MB)

Abstract

This Dagstuhl Seminar represented a unique opportunity to bring together international experts from the three research communities essential to tackling the HPC performance portability challenge: developers of large-scale computational science software projects, researchers developing parallel programming technologies, and performance specialists. The major research questions for the seminar were to understand challenges, design metrics, and prioritize potential solutions for performance portability, management of data movement in complex applications, composability, and pathways to impact on the research community. The overall conclusion shared by all participants was that performance portability in extreme scale computing can be achieved, especially if parallel applications are designed with performance portability in mind from the beginning. Making legacy application performance portable still requires enormous efforts and expertise. In many instances it will likely require extensive refactoring.

BibTeX - Entry

@Article{dubey_et_al:DR:2018:8664,
  author =	{Anshu Dubey and Paul H. J. Kelly and Bernd Mohr and Jeffrey S. Vetter},
  title =	{{Performance Portability in Extreme Scale Computing (Dagstuhl Seminar 17431)}},
  pages =	{84--110},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{10},
  editor =	{Anshu Dubey and Paul H. J. Kelly and Bernd Mohr and Jeffrey S. Vetter},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8664},
  URN =		{urn:nbn:de:0030-drops-86642},
  doi =		{10.4230/DagRep.7.10.84},
  annote =	{Keywords: Parallel programming, performance portability, productivity, scientific computing}
}

Keywords: Parallel programming, performance portability, productivity, scientific computing
Collection: Dagstuhl Reports, Volume 7, Issue 10
Issue Date: 2018
Date of publication: 27.03.2018

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