A computational study of external-memory BFS algorithms

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Title: A computational study of external-memory BFS algorithms
Authors: Ajwani, Deepak
Dementiev, Roman
Meyer, Ulrich
Permanent link: http://hdl.handle.net/10197/9914
Date: 26-Jan-2006
Online since: 2019-04-11T10:30:19Z
Abstract: Breadth First Search (BFS) traversal is an archetype for many important graph problems. However, computing a BFS level decomposition for massive graphs was considered nonviable so far, because of the large number of I/Os it incurs. This paper presents the first experimental evaluation of recent external-memory BFS algorithms for general graphs. With our STXXL based implementations exploiting pipelining and disk-parallelism, we were able to compute the BFS level decomposition of a web-crawl based graph of around 130 million nodes and 1.4 billion edges in less than 4 hours using single disk and 2.3 hours using 4 disks. We demonstrate that some rather simple external-memory algorithms perform significantly better (minutes as compared to hours) than internal-memory BFS, even if more than half of the input resides internally.
Type of material: Conference Publication
Publisher: ACM
Copyright (published version): 2006 ACM
Keywords: Breadth First Search (BFS)Graph algorithmsMathematics of computingGraph theory
DOI: 10.1145/1109557.1109623
Language: en
Status of Item: Not peer reviewed
Is part of: SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Conference Details: The Seventeenth Annual ACM-SIAM Symposium on Discrete Algorith (SODA '06), Miami, Florida, 22-26 January 2006
ISBN: 978-0-89871-605-4
Appears in Collections:Computer Science Research Collection

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