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UID:submissions.supercomputing.org_SC23_sess291_rpost161@linklings.com
SUMMARY:The Many Facets of a Dynamic Graph Processing System
DESCRIPTION:Juntong Luo, Scott Sallinen, and Matei Ripeanu (University of 
 British Columbia)\n\nGraphs are used to model real-world systems that ofte
 n evolve over time. We have developed a streaming graph framework which, w
 hile ingesting an unbounded stream of events mirroring a graph's evolution
 , dynamically updates the solution to a user query, and is able to offer, 
 on-demand and with low latency, the solution to the query. Integral to our
  framework is that graph topology changes and algorithmic messages are pro
 cessed concurrently, asynchronously, and autonomously (i.e., without share
 d state). This poster uses graph coloring as a challenge problem to highli
 ght two advantages of our framework beyond those showcased by past work (i
 .e., low result latency, high sustained ingestion throughput, and scalabil
 ity). These additional advantages are: (i) the ability to efficiently leve
 rage the "free" computational resources available when the rate of incomin
 g topology events is below the maximum sustainable throughput, and (ii) th
 e ability to produce "stable" solutions to queries as the graph evolves.\n
 \nTag: Artificial Intelligence/Machine Learning, Architecture and Networks
 , Heterogeneous Computing, I/O and File Systems, Performance Measurement, 
 Modeling, and Tools, Post-Moore Computing, Programming Frameworks and Syst
 em Software, Quantum Computing\n\nRegistration Category: Tech Program Reg 
 Pass, Exhibits Reg Pass\n\n
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