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DTSTART:19700308T020000
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DTSTAMP:20230124T171526Z
LOCATION:C147-154
DTSTART;TZID=America/Chicago:20221114T113700
DTEND;TZID=America/Chicago:20221114T120000
UID:submissions.supercomputing.org_SC22_sess452_ws_pawatm106@linklings.com
SUMMARY:Asynchronous Workload Balancing through Persistent Work-Stealing a
 nd Offloading for a Distributed Actor Model Library
DESCRIPTION:Workshop\n\nAsynchronous Workload Balancing through Persistent
  Work-Stealing and Offloading for a Distributed Actor Model Library\n\nBud
 anaz, Wille, Bader\n\nWith dynamic imbalances caused by both software and 
 ever more complex hardware, applications and runtime systems must adapt to
  dynamic load imbalances. We present a diffusion-based, reactive, fully as
 ynchronous, and decentralized dynamic load balancer for a distributed acto
 r library. With the asynchronous execution model, features such as remote 
 procedure calls, and support for serialization of arbitrary types, UPC++ i
 s especially feasible for the implementation of the actor model. While pro
 viding a substantial speedup for small- to medium-sized jobs with both pre
 dictable and unpredictable workload imbalances, the scalability of the dif
 fusion-based approaches remains below expectations in most presented test 
 cases.\n\nSession Format: Recorded\n\nTag: Applications, Architectures, He
 terogeneous Systems, Hierarchical Parallelism, Parallel Programming Langua
 ges and Models, Performance, Performance Portability, Scientific Computing
 \n\nRegistration Category: Workshop Reg Pass
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