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TZOFFSETFROM:-0600
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DTSTART:19700308T020000
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DTSTAMP:20260522T150122Z
LOCATION:D222
DTSTART;TZID=America/Chicago:20181112T115000
DTEND;TZID=America/Chicago:20181112T121000
UID:submissions.supercomputing.org_SC18_sess166_ws_bphpcte115@linklings.co
 m
SUMMARY:Training Computational Scientists to Build and Package Code
DESCRIPTION:Prentice Bisbal (Princeton Plasma Physics Laboratory)\n\nHigh 
 performance computing training and education typically emphasizes the firs
 t-principles of scientific programming, such as numerical algorithms and p
 arallel programming techniques.  However, as applications and libraries pr
 oliferate on the Internet and mature, the need for computational scientist
 s to write their own libraries and applications is decreasing. Instead, ma
 ny computational scientists need to know how to compile and link to applic
 ations built by others. Likewise, those who create the libraries and appli
 cations need to understand how to organize their code to make it as portab
 le as possible and package it so that it is straight-forward for others to
  use. These topics are not currently addressed by the current HPC training
  curriculum and users are typically left to develop their own approaches. 
 This work will discuss observations made by the author over the last 20 ye
 ars regarding the common problems encountered in the scientific community 
 when developing their own codes and building codes written by other comput
 ational scientists. Recommendations will be provided for a training curric
 ulum to address these shortcomings.\n\nTag: Education, Scientific Computin
 g, Training, Scalable and Sustainable Approaches for HPC Training and Educ
 ation, Emerging Tools enabling HPC Training and Education, Lightning Talks
  and Demos\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: 
 Evguenia Alexandrova (Hartree Centre, STFC; Science and Technology Facilit
 ies Council (STFC)); Scott Lathrop (University of Illinois Urbana-Champaig
 n); Susan Mehringer (Cornell University); Julie Mullen (Massachusetts Inst
 itute of Technology (MIT), Lincoln Laboratory); Nitin Sukhija (Slippery Ro
 ck University of Pennsylvania); and Aaron Weeden (Shodor Education Foundat
 ion)\n\n
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