Algebraic methods in the congested clique

In this work, we use algebraic methods for studying distance computation and subgraph detection tasks in the congested clique model. Specifically, we adapt parallel matrix multiplication implementations to the congested clique, obtaining an O ( n 1 - 2 / ω ) round matrix multiplication algorithm, wh...

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Published inDistributed computing Vol. 32; no. 6; pp. 461 - 478
Main Authors Censor-Hillel, Keren, Kaski, Petteri, Korhonen, Janne H., Lenzen, Christoph, Paz, Ami, Suomela, Jukka
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2019
Springer Nature B.V
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ISSN0178-2770
1432-0452
DOI10.1007/s00446-016-0270-2

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Summary:In this work, we use algebraic methods for studying distance computation and subgraph detection tasks in the congested clique model. Specifically, we adapt parallel matrix multiplication implementations to the congested clique, obtaining an O ( n 1 - 2 / ω ) round matrix multiplication algorithm, where ω < 2.3728639 is the exponent of matrix multiplication. In conjunction with known techniques from centralised algorithmics, this gives significant improvements over previous best upper bounds in the congested clique model. The highlight results include: triangle and 4-cycle counting in O ( n 0.158 ) rounds, improving upon the O ( n 1 / 3 ) algorithm of Dolev et al. [DISC 2012], a ( 1 + o ( 1 ) ) -approximation of all-pairs shortest paths in O ( n 0.158 ) rounds, improving upon the O ~ ( n 1 / 2 ) -round ( 2 + o ( 1 ) ) -approximation algorithm given by Nanongkai [STOC 2014], and computing the girth in O ( n 0.158 ) rounds, which is the first non-trivial solution in this model. In addition, we present a novel constant-round combinatorial algorithm for detecting 4-cycles.
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ISSN:0178-2770
1432-0452
DOI:10.1007/s00446-016-0270-2