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DTSTART;TZID=America/Chicago:20181113T153000
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UID:submissions.supercomputing.org_SC18_sess274@linklings.com
SUMMARY:HPC Workflow
DESCRIPTION:Analytic Based Monitoring of High Performance Computing Applic
 ations\n\nThe complexity of High Performance Computing (HPC) systems and t
 he innate premium on system efficiency necessitate the use of automated to
 ols to monitor not only system-level health and status, but also job perfo
 rmance. Current vendor-provided and third party monitoring tools, such as 
 Nagios or Gang...\n\n\nWilliam Leinberger (General Dynamics Mission System
 s)\n---------------------\nAdvanced Technologies and Techniques for Debugg
 ing HPC Applications\n\nDebugging and analyzing today's HPC applications r
 equires a tool with capabilities and features to support the demands of to
 day’s complex HPC applications. Debugging tools must be able to handle the
  extensive use of C++ templates and the STL, use of many shared libraries,
  optimized code, code levera...\n\n\nBill Burns (Rogue Wave Software Inc)\
 n---------------------\nOpenMP API Version 5.0 - Getting Ready for Exascal
 e\n\nSince its creation in 1997, the OpenMP(r) API has become the standard
  programming model for multi-threading in HPC applications and has enabled
  many scientific discoveries by making it easy for scientists to exploit t
 he power of modern computers.  The OpenMP API uses directives to augment c
 ode writt...\n\n\nMichael Klemm (OpenMP Architecture Review Board)\n\nTag:
  Data Analytics, Debugging, Parallel Programming Languages, Libraries, and
  Models, Software Engineering, System Software\n\nSession Chair: Scott Mic
 hael (Indiana University)
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