DocumentCode
3019368
Title
Superlinear Lower Bounds for Multipass Graph Processing
Author
Guruswami, Venkatesan ; Onak, Krzysztof
Author_Institution
Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2013
fDate
5-7 June 2013
Firstpage
287
Lastpage
298
Abstract
We prove n^(1+Omega(1/p))/p^O(1) lower bounds for the space complexity of p-pass streaming algorithms solving the following problems on n-vertex graphs: * testing if an undirected graph has a perfect matching (this implies lower bounds for computing a maximum matching or even just the maximum matching size), * testing if two specific vertices are at distance at most 2(p+1) in an undirected graph, * testing if there is a directed path from s to t for two specific vertices s and t in a directed graph. Prior to our result, it was known that these problems require Omega(n^2) space in one pass, but no n^(1+Omega(1)) lower bound was known for any p>=2. These streaming results follow from a communication complexity lower bound for a communication game in which the players hold two graphs on the same set of vertices. The task of the players is to find out whether the sets of vertices reachable from a specific vertex in exactly p+1 steps intersect. The game requires a significant amount of communication only if the players are forced to speak in a specific difficult order. This is reminiscent of lower bounds for communication problems such as indexing and pointer chasing. Among other things, our line of attack requires proving an information cost lower bound for a decision version of the classic pointer chasing problem and a direct sum type theorem for the disjunction of several instances of this problem.
Keywords
communication complexity; directed graphs; communication complexity; communication game; multipass graph processing; n-vertex graphs; space complexity; superlinear lower bounds; undirected graph; Approximation methods; Complexity theory; Error probability; Games; Indexing; Protocols; Testing; communication complexity; information theory; maximum matching; shortest path; streaming;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Complexity (CCC), 2013 IEEE Conference on
Conference_Location
Stanford, CA
Type
conf
DOI
10.1109/CCC.2013.37
Filename
6597771
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