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UID:submissions.supercomputing.org_SC22_sess275_rpost185@linklings.com
SUMMARY:Noncommittal Commits:  Predicting Performance Slowdowns in Version
  Control History
DESCRIPTION:Posters, Research Posters\n\nNoncommittal Commits:  Predicting
  Performance Slowdowns in Version Control History\n\nNichols, Gunawardana,
  Marathe, Gamblin, Bhatele\n\nScientific software in high performance comp
 uting is becoming increasingly complex both in terms of its size and the n
 umber of external dependencies.  Correctness and performance issues can be
 come more challenging in actively developed software with increasing compl
 exity. This leads to software developers having to spend larger portions o
 f their time on debugging, optimizing, and maintaining code. Making softwa
 re optimization and maintenance easier for developers is paramount to acce
 lerating the rate of scientific progress.  Fortunately, there is a wealth 
 of data on scientific coding practices available implicitly via version co
 ntrol histories. These contain the state of a code at each stage throughou
 t its development via commit snapshots.  Commit snapshots provide dynamic 
 insight into the software development process that static analyses of rele
 ase tarballs do not.  We propose a new machine learning based approach for
  studying the performance of source code across code modifications.\n\nReg
 istration Category: Tech Program Reg Pass, Exhibits Reg Pass
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