License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.5.8.1
URN: urn:nbn:de:0030-drops-56757
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Kranzlm├╝ller, Dieter ; Rountree, Barry L.
Weitere Beteiligte (Hrsg. etc.): Dieter Kranzlm├╝ller and Barry L. Rountree

Power-Bounded HPC Performance Optimization (Dagstuhl Perspectives Workshop 15342)

dagrep_v005_i008_p001_s15342.pdf (1 MB)


This report documents the program and the outcomes of Dagstuhl Perspectives Workshop 15342 "Power-Bounded HPC Performance Optimization". The workshop consists of two parts. In part one, our international panel of experts in facilities, schedulers, runtime systems, operating systems, processor architectures and applications provided thought-provoking and details insights into open problems in each of their fields with respect to the workshop topic. These problems must be resolved in order to achieve a useful power-constrainted exascale system, which operates at the highest performance within a given power bound. In part two, the participants split up in three groups, trying to address certain specific subtopics as identified during the expert plenaries. These subtopics have been discussed in more detail, followed by plenary sessions to compare and synthesize the findings into an overall picture. As a result, the workshop identified three major problems, which need to be solved on the way to power-bounded HPC performance optimization.

BibTeX - Entry

  author =	{Dieter Kranzlm{\"u}ller and Barry L. Rountree},
  title =	{{Power-Bounded HPC Performance Optimization (Dagstuhl Perspectives Workshop 15342)}},
  pages =	{1--8},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{5},
  number =	{8},
  editor =	{Dieter Kranzlm{\"u}ller and Barry L. Rountree},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-56757},
  doi =		{10.4230/DagRep.5.8.1},
  annote =	{Keywords: Exascale computing, Energy efficiency, Power awareness, Scalability}

Keywords: Exascale computing, Energy efficiency, Power awareness, Scalability
Collection: Dagstuhl Reports, Volume 5, Issue 8
Issue Date: 2016
Date of publication: 15.01.2016

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