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DTSTAMP:20181221T160727Z
LOCATION:D171
DTSTART;TZID=America/Chicago:20181111T164500
DTEND;TZID=America/Chicago:20181111T171000
UID:submissions.supercomputing.org_SC18_sess152_ws_vpa102@linklings.com
SUMMARY:PaScal Viewer: A Tool for the Visualization of Parallel Scalabilit
 y Trends
DESCRIPTION:Workshop\nData Analytics, Performance, Visualization, Workshop
  Reg Pass\n\nPaScal Viewer: A Tool for the Visualization of Parallel Scala
 bility Trends\n\nNobrega da Silva, Xavier de Souza\n\nTaking advantage of 
 the growing number of cores in supercomputers to increase the scalabilty o
 f parallel programs is an increasing challenge. Many advanced profiling to
 ols have been developed to assist programmers in the process of analyzing 
 data related to the execution of their program. Programmers can act upon t
 he information generated by these data and make their programs reach highe
 r performance levels. However, the information provided by profiling tools
  are generally designed to optimize the program for a specific execution e
 nvironment, with a target number of cores and a target problem size. A cod
 e optimization driven towards scalability rather than specific performance
  requires the analysis of many distinct execution environments instead of 
 details about a single environment. With the goal of providing more useful
  information for the analysis and optimization of code for parallel scalab
 ility, this work introduces the PaScal Viewer tool. It presents an novel a
 nd productive way to visualize scalability trends of parallel programs. It
  consists of four diagrams that offers visual support to identify parallel
  efficiency trends of the whole program, or parts of it, when running on s
 caling parallel environments with scaling problem sizes.
URL:https://sc18.supercomputing.org/presentation/?id=ws_vpa102&sess=sess15
 2
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