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DTSTAMP:20260422T000711Z
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DTSTART;TZID=America/Denver:20231113T083000
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UID:submissions.supercomputing.org_SC23_sess246_tut117@linklings.com
SUMMARY:Hands-On Practical Hybrid Parallel Application Performance Enginee
 ring
DESCRIPTION:Markus Geimer (Forschungszentrum Jülich, Jülich Supercomputing
  Centre (JSC)); Sameer Shende (University of Oregon; ParaTools, Inc.); Ber
 t Wesarg (GWT-TUD GmbH; Department for Information Services and High Perfo
 rmance Computing (ZIH), Center for Interdisciplinary Digital Sciences (CID
 S), Technische Universität Dresden); and Brian Wylie (Forschungszentrum Jü
 lich, Jülich Supercomputing Centre (JSC))\n\nThis tutorial presents state-
 of-the-art performance tools for leading-edge HPC systems founded on the c
 ommunity-developed Score-P instrumentation and measurement infrastructure,
  demonstrating how they can be used for performance engineering of effecti
 ve scientific applications based on standard MPI, OpenMP, hybrid combinati
 on of both, and increasingly common usage of accelerators. Parallel perfor
 mance tools from the Virtual Institute – High Productivity Supercomputing 
 (VI-HPS) are introduced and featured in hands-on exercises with Score-P, S
 calasca, Vampir, and TAU. We present the complete workflow of performance 
 engineering, including instrumentation, measurement (profiling and tracing
 , timing and PAPI hardware counters), data storage, analysis, tuning, and 
 visualization. Emphasis is placed on how tools are used in combination for
  identifying performance problems and investigating optimization alternati
 ves. Using their own notebook computers, participants will conduct exercis
 es on a contemporary HPC system where remote access will be provided for t
 he hands-on sessions through AWS running an E4S [http://e4s.io] image cont
 aining all of the necessary tools. This image supports NVIDIA GPUs using C
 UDA 12 and Python. This will help to prepare participants to locate and di
 agnose performance bottlenecks in their own parallel programs.\n\nTag: Acc
 elerators, Applications, Heterogeneous Computing, Performance Optimization
 \n\nRegistration Category: Tutorial Reg Pass\n\n
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