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Content Provider | IEEE Xplore Digital Library |
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Author | Attia, O.G. Johnson, T. Townsend, K. Jones, P. Zambreno, J. |
Copyright Year | 2014 |
Description | Author affiliation: Dept. Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA (Attia, O.G.; Johnson, T.; Townsend, K.; Jones, P.; Zambreno, J.) |
Abstract | Large-scale graph structures are considered as a keystone for many emerging high-performance computing applications in which Breadth-First Search (BFS) is an important building block. For such graph structures, BFS operations tends to be memory-bound rather than compute-bound. In this paper, we present an efficient reconfigurable architecture for parallel BFS that adopts new optimizations for utilizing memory bandwidth. Our architecture adopts a custom graph representation based on compressed-sparse raw format (CSR), as well as a restructuring of the conventional BFS algorithm. By taking maximum advantage of available memory bandwidth, our architecture continuously keeps our processing elements active. Using a commercial high-performance reconfigurable computing system (the Convey HC-2), our results demonstrate a 5× speedup over previously published FPGA-based implementations. |
Starting Page | 228 |
Ending Page | 235 |
File Size | 267409 |
Page Count | 8 |
File Format | |
e-ISBN | 9781479941162 |
DOI | 10.1109/IPDPSW.2014.30 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-05-19 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Algorithm design and analysis Convey HC-2 FPGA Bandwidth Breadth-First Search Graphs Reconfigurable Computing Arrays Indexes Kernel Optimization |
Content Type | Text |
Resource Type | Article |
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