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DTSTART:19700308T020000
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DTSTAMP:20230831T095747Z
LOCATION:Schwarzhorn
DTSTART;TZID=Europe/Stockholm:20230628T143000
DTEND;TZID=Europe/Stockholm:20230628T150000
UID:submissions.pasc-conference.org_PASC23_sess160_msa137@linklings.com
SUMMARY:Intelligent Node-Level Locality-Aware Load Balancing and Optimizat
 ions with Charm++'s CkLoop
DESCRIPTION:Minisymposium\n\nKavitha Chandrasekar (University of Illinois 
 Urbana-Champaign) and Harshitha Menon (Lawrence Livermore National Laborat
 ory)\n\nIn this talk, we discuss novel load balancers in Charm++/CharmMPI 
 and the associated node-level library called CkLoop. We also will discuss 
 how the design of these load balancers carefully re-uses intelligent heuri
 stics from inter-node load balancers of Charm++. Furthermore, we will show
  how inter- and intra-node load balancers can be synergized: for example, 
 the frequency of Charm++/CharmMPI’s inter-node load balancing can be tuned
  in conjunction with more frequent node-level load balancing in a hierarch
 ical scheme. Other techniques include selectively turning cores off to opt
 imize performance and energy simultaneously, and automatically-sized teams
  to trade-off locality and inter-node communication frequency. Such integr
 ated load balancing strategies bring down overall costs of load balancing 
 for simulations for science and engineering run on modern supercomputers, 
 and thus reduce time-to-solution for such simulations.\n\nDomain: Computer
  Science, Machine Learning, and Applied Mathematics 
\n\nSession Chair: Vi
 vek Kale (Sandia National Laboratories)
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