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DTSTART;TZID=America/Denver:20231115T100000
DTEND;TZID=America/Denver:20231115T170000
UID:submissions.supercomputing.org_SC23_sess303_rpost187@linklings.com
SUMMARY:Accelerating Actor-Based Distributed Triangle Counting
DESCRIPTION:Aniruddha Mysore, Kaushik Ravichandran, Youssef Elmougy, Akihi
 ro Hayashi, and Vivek Sarkar (Georgia Institute 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 na
 ture of the algorithm, which not only inhibits compile-time optimizations,
  but also requires runtime optimizations such as message aggregation and l
 oad-imbalance mitigation. Popular triangle counting algorithms are either 
 inherently slow, fail to take advantage of available vectorization in mode
 rn processors, or involve sparse matrix operations. With its support for f
 ine-grained asynchronous messages, the Partitioned Global Address Space (P
 GAS) with the Actor model has been identified to be efficient for irregula
 r applications. However, few triangle counting implementations have been o
 ptimally implemented on top of PGAS Actor runtimes. To address the above m
 entioned challenges, we propose a set-intersection-based implementation of
  a distributed triangle counting algorithm atop the PGAS Actor runtime. Ev
 aluation of our approach on the PACE Phoenix cluster and the Perlmutter su
 percomputer shows encouraging results.\n\nTag: Artificial Intelligence/Mac
 hine Learning, Architecture and Networks, Heterogeneous Computing, I/O and
  File Systems, Performance Measurement, Modeling, and Tools, Post-Moore Co
 mputing, Programming Frameworks and System Software, Quantum Computing\n\n
 Registration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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