Title
Parallel algorithms for geometric graph problems
Abstract
We give algorithms for geometric graph problems in the modern parallel models such as MapReduce. For example, for the Minimum Spanning Tree (MST) problem over a set of points in the two-dimensional space, our algorithm computes a (1 + ε)-approximate MST. Our algorithms work in a constant number of rounds of communication, while using total space and communication proportional to the size of the data (linear space and near linear time algorithms). In contrast, for general graphs, achieving the same result for MST (or even connectivity) remains a challenging open problem [9], despite drawing significant attention in recent years. We develop a general algorithmic framework that, besides MST, also applies to Earth-Mover Distance (EMD) and the transportation cost problem. Our algorithmic framework has implications beyond the MapReduce model. For example it yields a new algorithm for computing EMD cost in the plane in near-linear time, n1+oε(1). We note that while recently [33] have developed a near-linear time algorithm for (1 + ε)-approximating EMD, our algorithm is fundamentally different, and, for example, also solves the transportation (cost) problem, raised as an open question in [33]. Furthermore, our algorithm immediately gives a (1+ ε)-approximation algorithm with nδ space in the streaming-with-sorting model with 1/δO(1) passes. As such, it is tempting to conjecture that the parallel models may also constitute a concrete playground in the quest for efficient algorithms for EMD (and other similar problems) in the vanilla streaming model, a well-known open problem.
Year
DOI
Venue
2014
10.1145/2591796.2591805
STOC
Keywords
DocType
Volume
nonnumerical algorithms and problems,mapreduce,parallel computation,earth-mover distance,minimum spanning tree,graph theory,earth mover distance
Journal
abs/1401.0042
Citations 
PageRank 
References 
26
0.91
37
Authors
4
Name
Order
Citations
PageRank
Alexandr Andoni1168481.72
Aleksandar Nikolov221421.87
Krzysztof Onak349325.90
Grigory Yaroslavtsev420917.36