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DTSTAMP:20240116T191703Z
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DTSTART;TZID=America/Denver:20231114T100000
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UID:submissions.supercomputing.org_SC23_sess291_rpost187@linklings.com
SUMMARY:Accelerating Actor-Based Distributed Triangle Counting
DESCRIPTION:Posters, Research Posters\n\nAniruddha Mysore, Kaushik Ravicha
 ndran, Youssef Elmougy, Akihiro Hayashi, and Vivek Sarkar (Georgia Institu
 te of Technology)\n\nTriangle counting is a cornerstone operation in large
  graph analytics. It has been a challenging problem historically, owing to
  the irregular and dynamic nature of the algorithm, which not only inhibit
 s compile-time optimizations, but also requires runtime optimizations such
  as message aggregation and load-imbalance mitigation. Popular triangle co
 unting algorithms are either inherently slow, fail to take advantage of av
 ailable vectorization in modern processors, or involve sparse matrix opera
 tions. With its support for fine-grained asynchronous messages, the Partit
 ioned Global Address Space (PGAS) with the Actor model has been identified
  to be efficient for irregular applications. However, few triangle countin
 g implementations have been optimally implemented on top of PGAS Actor run
 times. To address the above mentioned challenges, we propose a set-interse
 ction-based implementation of a distributed triangle counting algorithm at
 op the PGAS Actor runtime. Evaluation of our approach on the PACE Phoenix 
 cluster and the Perlmutter supercomputer shows encouraging results.\n\nReg
 istration Category: Tech Program Reg Pass, Exhibits Reg Pass
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