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Topic 2: Performance prediction and evaluation (Introduction)

  • Pacific Northwest National Laboratory
  • Anna University
  • University of Innsbruck
  • University of Westminster
  • Los Alamos National Laboratory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In recent years, a range of novel methodologies and tools have been developed for the purpose of evaluation, design, and model reduction of existing and emerging parallel and distributed systems. At the same time, the coverage of the term "performance" has constantly broadened to include reliability, robustness, energy consumption, and scalability in addition to classical performance-oriented evaluations of system functionalities. Indeed, the increasing diversification of parallel systems, from cloud computing to exascale, being fueled by technological advances, is placing greater emphasis on the methods and tools to address more comprehensive concerns. The aim of the Performance Prediction and Evaluation topic is to bring together system designers and researchers involved with the qualitative and quantitative evaluation and modeling of large-scale parallel and distributed applications and systems to focus on current critical areas of performance prediction and evaluation theory and practice.

Original languageEnglish
Title of host publicationEuro-Par 2013 Parallel Processing - 19th International Conference, Proceedings
Pages28
Number of pages1
DOIs
StatePublished - 2013
Event19th International Conference on Parallel Processing, Euro-Par 2013 - Aachen, Germany
Duration: 26 Aug 201330 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8097 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Parallel Processing, Euro-Par 2013
Country/TerritoryGermany
CityAachen
Period26/08/1330/08/13

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