Self-adaptive graph traversal on GPUs

Self-adaptive graph traversal on GPUs

GPU’s massive computing power offers unprecedented opportunities to enable large graph analysis. Existing studies proposed various preprocessing approaches that convert the input graphs into dedicated structures for GPU-based optimizations. However, these dedicated approaches incur significant prepr...

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Bibliographic Details
Main Authors: SHA, Mo, LI, Yuchen, TAN, Kian-Lee
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Graph Processing
GPGPU
Parallel Task Scheduling
Databases and Information Systems
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/6201
https://ink.library.smu.edu.sg/context/sis_research/article/7204/viewcontent/3448016.3457279.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/6201
https://ink.library.smu.edu.sg/context/sis_research/article/7204/viewcontent/3448016.3457279.pdf

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