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UID:submissions.supercomputing.org_SC23_sess171_pap554@linklings.com
SUMMARY:Embracing Irregular Parallelism in HPC with YGM
DESCRIPTION:Trevor Steil (Lawrence Livermore National Laboratory (LLNL)), 
 Tahsin Reza (University of Waterloo), and Benjamin Priest and Roger Pearce
  (Lawrence Livermore National Laboratory (LLNL))\n\nYGM is a general-purpo
 se asynchronous distributed computing library for C++/MPI, designed to han
 dle the irregular data access patterns and small messages of graph algorit
 hms and data science applications. It uses data serialization to give an e
 asily usable active message interface and message aggregation to maximize 
 application throughput. Our design philosophy makes a tradeoff that increa
 ses network bandwidth utilization at the cost of added latency. We provide
  a suite of benchmarks showcasing YGM’s performance.  Compared to similar 
 distributed active message benchmark implementations that do not provide m
 essage buffering, we are able to achieve over 10x throughput on thousands 
 of cores at a latency cost that can be as small as 2x or as large as 100x,
  depending on the machine being used. For applications that can be written
  to be latency-tolerant, this represents a significant potential performan
 ce improvement through using YGM.\n\nTag: Distributed Computing, Message P
 assing, Programming Frameworks and System Software\n\nRegistration Categor
 y: Tech Program Reg Pass\n\nAward Finalist: Best Student Paper Finalist\n\
 nReproducibility Badges: Artifact Available\n\nSession Chair: Patrick Brid
 ges (University of New Mexico)\n\n
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