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DTSTART;TZID=America/Denver:20231115T155700
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UID:submissions.supercomputing.org_SC23_sess308_spostg109@linklings.com
SUMMARY:Genome Assembly Using an Asynchronous Distributed Actor-Based Appr
 oach
DESCRIPTION:Souvadra Hati (Georgia Institute of Technology)\n\nWe use geno
 me assembly as a representative case to showcase the use of the ‘actor mod
 el’, a novel programming system for high-performance data-intensive worklo
 ads. The actor version of the 𝑘-mer counting kernel shows on average 1.6× 
 speedup over similar MPI implementation. We provide a novel parallel algor
 ithm that leverages the actor model to traverse de Bruijn graphs in a non-
 blocking, one-directional manner. Our findings highlight the potential of 
 the actor model for writing simple and efficient parallel programs for dat
 a-heavy workloads.\n\nRegistration Category: Tech Program Reg Pass\n\nSess
 ion Chair: Ana Gainaru (Oak Ridge National Laboratory (ORNL))\n\n
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