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DTSTART;TZID=America/Chicago:20211115T153000
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UID:submissions.supercomputing.org_SC21_sess350_misc321@linklings.com
SUMMARY:IA^3: Invited Talk 2 - Implementing Performance Portable Graph Alg
 orithms Using Task-Based Execution
DESCRIPTION:Workshop\n\nIA^3: Invited Talk 2 - Implementing Performance Po
 rtable Graph Algorithms Using Task-Based Execution\n\nCatalyurek\n\nDesign
 ing flexible graph kernels that can run well on various platforms is a cru
 cial research problem due to the frequent usage of graphs for modeling dat
 a and recent architectural advances and variety. In this talk, I will pres
 ent our recent graph processing model and framework, PGAbB, for modern sha
 red-memory heterogeneous platforms. PGAbB implements a block-based program
 ming model. This allows a user to express a graph algorithm using functors
  that operate on an ordered list of blocks (subgraphs). Our framework depl
 oys these computations to all available resources in a heterogeneous archi
 tecture. We will demonstrate that one can implement a diverse set of graph
  algorithms in our framework, and task-based execution enables graph compu
 tations even on large graphs that do not fit in GPU device memory. Our exp
 erimental results show that PGAbB achieves competitive or superior perform
 ance compared to hand-optimized implementations or existing state-of-the-a
 rt graph computing frameworks.\n\nTag: Algorithms, Architectures, Big Data
 , Data Analytics, Memory Systems, Numerical Algorithms\n\nRegistration Cat
 egory: Workshop Reg Pass
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