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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260422T000712Z
LOCATION:403
DTSTART;TZID=America/Denver:20231112T083000
DTEND;TZID=America/Denver:20231112T170000
UID:submissions.supercomputing.org_SC23_sess225_tut147@linklings.com
SUMMARY:Better Software for Reproducible Science
DESCRIPTION:David E. Bernholdt (Oak Ridge National Laboratory (ORNL)), Pat
 ricia A. Grubel (Los Alamos National Laboratory (LANL)), and David M. Roge
 rs and Gregory R. Watson (Oak Ridge National Laboratory (ORNL))\n\nProduci
 ng scientific software is a challenge.  The high-performance modeling and 
 simulation community, in particular, faces the confluence of disruptive ch
 anges in computing architectures and new opportunities (and demands) for g
 reatly improved simulation capabilities, especially through coupling physi
 cs and scales.  Simultaneously, computational science and engineering (CSE
 ), as well as other areas of science, are experiencing an increasing focus
  on scientific reproducibility and software quality. Code coupling require
 s aggregate team interactions including integration of software processes 
 and practices.  These challenges demand large investments in scientific so
 ftware development and improved practices.  Focusing on improved developer
  productivity and software sustainability is both urgent and essential.\n\
 nAttendees will learn about practices, processes, and tools to improve the
  productivity of those who develop CSE software, increase the sustainabili
 ty of software artifacts, and enhance trustworthiness in their use. We wil
 l focus on aspects of scientific software development that are not adequat
 ely addressed by resources developed for industrial software engineering. 
  Topics include the design, refactoring, and testing of complex scientific
  software systems; collaborative software development; and software packag
 ing.  The second half of this full-day tutorial will focus on reproducibil
 ity, and why and how to keep a lab notebook for computationally-based rese
 arch.\n\nTag: Applications, Software Engineering\n\nRegistration Category:
  Tutorial Reg Pass\n\n
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