Distributed large-scale graph processing on FPGAs

Distributed large-scale graph processing on FPGAs

Abstract Processing large-scale graphs is challenging due to the nature of the computation that causes irregular memory access patterns. Managing such irregular accesses may cause significant performance degradation on both CPUs and GPUs. Thus, recent research trends propose graph processing acceler...

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Bibliographic Details
Main Authors: Amin Sahebi, Marco Barbone, Marco Procaccini, Wayne Luk, Georgi Gaydadjiev, Roberto Giorgi
Format: Article
Language:English
Published: SpringerOpen 2023-06-01
Series:Journal of Big Data
Subjects:
Graph processing
Distributed computing
Grid partitioning
FPGA
Accelerators
Online Access:https://doi.org/10.1186/s40537-023-00756-x

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