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UID:submissions.supercomputing.org_SC24_sess737_ws_ia124@linklings.com
SUMMARY:Shared Memory-Aware Latency-Sensitive Message Aggregation for Fine
 -Grained Communication
DESCRIPTION:Kavitha Chandrasekar (University of Illinois) and Laxmikant Ka
 le (University of Illinois Urbana-Champaign)\n\nMessage aggregation is wid
 ely used with a goal to reduce communication cost in HPC applications. The
  discrepancy in the order of overhead of sending a message and cost of per
  byte transferred motivates the need for message aggregation, for several 
 irregular fine-grained messaging applications like graph algorithms and pa
 rallel discrete event simulation (PDES) . While the benefit of message agg
 regation is often analyzed in terms of reducing the overhead, specifically
  the per message cost, we also analyze different schemes that can aid in r
 educing the message latency, ie. the time from when a message is sent to t
 he time when it is received. Message latency can affect several applicatio
 ns like PDES with speculative execution where reducing message latency cou
 ld result in fewer rollbacks. Specifically in our work, we demonstrate the
  effectiveness of node-aware message aggregation schemes for a range of pr
 oxy applications with respect to messaging overhead and latency.\n\nTag: G
 raph Algorithms, Heterogeneous Computing, Programming Frameworks and Syste
 m Software\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: 
 Michela Becchi (North Carolina State University); John Feo (Pacific Northw
 est National Laboratory (PNNL)); Antonino Tumeo (Pacific Northwest Nationa
 l Laboratory (PNNL)); and Ana Lucia Varbanescu (University of Twente, Neth
 erlands; University of Amsterdam, Netherlands)\n\n
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