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Summary: On ExternalMemory MST, SSSP and
Multiway Planar Graph Separation
(Extended Abstract)
Lars Arge 1;? , Gerth Stølting Brodal 2;?? , and Laura Toma 1;? ? ?
1 Duke University, Durham, NC 27708--0129, USA
2 University of Aarhus, DK8000 Arhus C, Denmark
Abstract. Recently external memory graph algorithms have received
considerable attention because massive graphs arise naturally in many
applications involving massive data sets. Even though a large number of
I/Oefficient graph algorithms have been developed, a number of funda
mental problems still remain open. In this paper we develop an improved
algorithm for the problem of computing a minimum spanning tree of a
general graph, as well as new algorithms for the single source shortest
paths and the multiway graph separation problems on planar graphs.
1 Introduction
Recently external memory graph algorithms have received considerable attention
because massive graphs arise naturally in many applications involving massive
data sets. One example of a massive graph is AT&T's 20TB phonecall data
graph [11]. Other examples of massive graphs arise in Geographic Information
Systems (GIS). For instance, GIS terrains are often represented using planar
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