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DTSTART:19700308T020000
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DTSTAMP:20210402T160558Z
LOCATION:Track 2
DTSTART;TZID=America/New_York:20201113T133000
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UID:submissions.supercomputing.org_SC20_sess221_ws_p3hpc103@linklings.com
SUMMARY:Interpreting and Visualizing Performance Portability Metrics
DESCRIPTION:Workshop\n\nInterpreting and Visualizing Performance Portabili
 ty Metrics\n\nSewall, Pennycook, Jacobsen, Deakin, McIntosh-Smith\n\nRecen
 t work has introduced a number of tools and techniques for reasoning about
  the interplay between application performance and portability, or "perfor
 mance portability".  These tools have proven useful for setting goals and 
 guiding high-level discussions, but our understanding of the performance p
 ortability problem remains incomplete.  Different views of the same perfor
 mance efficiency data offer different insights into an application's perfo
 rmance portability (or lack thereof): standard statistical measures such a
 s the mean and standard deviation require careful interpretation, and even
  metrics designed specifically to measure performance portability may obsc
 ure differences between applications.\n\nThis paper offers a critical asse
 ssment of existing approaches for summarizing performance efficiency data 
 across different platforms, and proposes visualization as a means to extra
 ct useful information about the underlying distribution.  We explore a num
 ber of alternative visualizations, outlining a new methodology that enable
 s developers to reason about the performance portability of their applicat
 ions and how it might be improved.  This study unpicks what it might mean 
 to be "performance portable" and provides useful tools to explore that que
 stion.\n\nRegistration Category: Workshop Reg Pass
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