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DTSTAMP:20260522T150129Z
LOCATION:D220
DTSTART;TZID=America/Chicago:20181111T144200
DTEND;TZID=America/Chicago:20181111T144500
UID:submissions.supercomputing.org_SC18_sess160_ws_whpc118@linklings.com
SUMMARY:In Situ Performance Analysis of Event-driven Simulations to Suppor
 t the Codesign of Extreme-Scale Systems
DESCRIPTION:Caitlin J. Ross (Rensselaer Polytechnic Institute)\n\nParallel
  discrete event simulation (PDES) is a productive and cost-effective tool 
 in exploring the design space of high performance computing (HPC) system a
 rchitectures.  In discrete event simulation, the modeled entities (e.g., n
 etwork router) interact through the exchange of timestamped messages. For 
 parallel simulations, the synchronization protocol ensures causal correctn
 ess of the simulation.  In PDES, synchronization protocols are classified 
 as conservative or optimistic. Conservative methods ensure that events are
  processed only when it is safe to do so, while optimistic methods allow f
 or speculative processing of events and provide out-of-order event detecti
 on and recovery mechanisms. Because optimistic protocols can better exploi
 t the parallelism inherent in models, optimistic simulations tend to be mo
 re scalable than conservative simulations. However, optimizing optimistic 
 simulations to minimize the time spent performing unproductive work (i.e.,
  rolling back the simulation state to fix causality errors) is not a trivi
 al task. The factors that affect optimistic performance exist at multiple 
 levels of the simulation, from the physical hardware running the simulatio
 n, communication of MPI ranks, as well as characteristics of the simulated
  model itself.  The interplay of these factors is difficult to understand,
  making it difficult for optimistic PDES to be used efficiently, especiall
 y by simulation users, such as network architects.\n\nTag: Diversity, Educ
 ation, Hot Topics\n\nRegistration Category: Workshop Reg Pass\n\nSession C
 hairs: Toni Collis (Women in High Performance Computing); Weronika Filinge
 r (Edinburgh Parallel Computing Centre (EPCC); University of Edinburgh, Sc
 otland); and Misbah Mubarak (Amazon Web Services)\n\n
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