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DTSTART:19700308T020000
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DTSTAMP:20181221T160728Z
LOCATION:D175
DTSTART;TZID=America/Chicago:20181112T160000
DTEND;TZID=America/Chicago:20181112T163000
UID:submissions.supercomputing.org_SC18_sess176_ws_llvmf107@linklings.com
SUMMARY:PInT: Pattern Instrumentation Tool for Analyzing and Classifying H
 PC Applications
DESCRIPTION:Workshop\nProgram Transformation, Programming Systems, Worksho
 p Reg Pass\n\nPInT: Pattern Instrumentation Tool for Analyzing and Classif
 ying HPC Applications\n\nSchlebusch, Müller, Wienke, Miller, Müller\n\nThe
  relationship of application performance to its required development effor
 t plays an important role in today’s budget-oriented HPC environment. This
  effort-performance relationship is especially affected by the structure a
 nd characterization of an HPC application. We aim at a classification of H
 PC applications using (design) patterns for parallel programming. For an e
 fficient analysis of parallel patterns and applicable pattern definitions,
  we introduce our tool PInT that is based on source code instrumentation a
 nd Clang LibTooling. Furthermore, we propose metrics to examine occurrence
 s and compositions of patterns that can be automatically evaluated by PInT
 . In two case studies, we show the applicability and functionality of PInT
 .
URL:https://sc18.supercomputing.org/presentation/?id=ws_llvmf107&sess=sess
 176
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