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DTSTART;TZID=America/Chicago:20181112T133000
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UID:submissions.supercomputing.org_SC18_sess360@linklings.com
SUMMARY:Students@SC: HPC Research
DESCRIPTION:Four talks on current research in HPC. Compilers, tools, progr
 amming models, and extreme heterogeneity.\n\nOpportunities for Extreme Het
 erogeneity in High Performance Architectures\n\nHPC architectures now prov
 ide special-purpose accelerated processing units to augment general purpos
 e compute cores. In the future it is expected that architectural diversity
  will greatly increase, with heterogeneous components appearing at many le
 vels of granularity. In this talk, I will discuss op...\n\n\nMaya Gokhale 
 (Lawrence Livermore National Laboratory)\n---------------------\nSoftware 
 Development Tools for HPC and at Scale\n\nDebugging and performance optimi
 zation are critical steps in the software development process for HPC appl
 ications and need to be supported by appropriate tools. Compared to compar
 able standard tools, however, HPC tools need to fulfill one additional req
 uirement: they need to scale themselves, i.e.,...\n\n\nMartin Schulz (Tech
 nical University Munich)\n---------------------\nParallel Programming Mode
 ls for the Extreme Scale Era\n\nParallel programming has always been chall
 enging. In addition to the traditional challenges of (sequential) programm
 ing, parallel programming has to deal with complex issues of performance s
 uch as load imbalances, long critical paths, and communication overheads, 
 as well as correctness issues arisin...\n\n\nLaxmikant (Sanjay) Kale (Univ
 ersity of Illinois)\n---------------------\nA Renaissance for Domain-Speci
 fic Languages, Compilers and Code Generators for HPC and Big Data\n\nToday
 ’s HPC architectures are diverse and complex.  Achieving high performance 
 often requires low-level, architecture-specific code that is difficult to 
 derive and does not port across architectures.  It seems that writing such
  code has reached a pain threshold for programmers, and this has motivate.
 ..\n\n\nMary Hall (University of Utah)\n\nTag: Student Program\n\nSession 
 Chair: David Boehme (Lawrence Livermore National Laboratory (LLNL))
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