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BEGIN:VEVENT
DTSTAMP:20211207T055400Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20211118T083000
DTEND;TZID=America/Chicago:20211118T170000
UID:submissions.supercomputing.org_SC21_sess243_spostg112@linklings.com
SUMMARY:Efficient Parallel Algorithm for Shortest Path Updates in Dynamic 
 Networks at Scale
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster, Posters\n\nEfficient Parallel
  Algorithm for Shortest Path Updates in Dynamic Networks at Scale\n\nKhand
 a\n\nThe application of graphs (networks) are versatile, and they are appl
 ied to various fields, including but not limited to social network analysi
 s, transportation logistics, biological and genetic interaction study, IP 
 traffic routing, and resource allocation in IoT networks. All these domain
 s deal with a massive amount of data and require large-scale graphs to mod
 el them. These graphs are often dynamic in nature, i.e., the structure of 
 the graph changes with time. The Single Source Shortest Path (SSSP) proble
 m, which finds the shortest distance of all vertices from a source vertex,
  often appears in different scenarios. In a large-scale dynamic network, f
 inding SSSP becomes challenging due to the rapid structural changes in the
  graph and scalability issues. Although numerous parallel shortest path al
 gorithms on static networks have been proposed in the literature, the SSSP
  problem in large-scale dynamic networks requires more attention due to it
 s continual appearances in modern scenarios.\n\nTag: In-Person Only\n\nReg
 istration Category: Tech Program Reg Pass, Exhibit Hall Only
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