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On the distributed complexity of large-scale graph computations

Pandurangan, G. (author)
Robinson, P. (author)
Scquizzato, Michele (author)
KTH,Teoretisk datalogi, TCS
 (creator_code:org_t)
2018-07-11
2018
English.
In: SPAA '18 Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450357999 ; , s. 405-414
  • Conference paper (peer-reviewed)
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  • Motivated by the increasing need to understand the distributed algorithmic foundations of large-scale graph computations, we study some fundamental graph problems in a message-passing model for distributed computing where k 2 machines jointly perform computations on graphs with n nodes (typically, n ≫ k). The input graph is assumed to be initially randomly partitioned among the k machines, a common implementation in many real-world systems. Communication is point-to-point, and the goal is to minimize the number of communication rounds of the computation.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

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Robinson, P.
Scquizzato, Mich ...
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