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Complexity Measures for Map-Reduce, and Comparison to Parallel Computing

Complexity Measures for Map-Reduce, and Comparison to Parallel Computing

28 November 2012
Ashish Goel
Kamesh Munagala
ArXiv (abs)PDFHTML

Papers citing "Complexity Measures for Map-Reduce, and Comparison to Parallel Computing"

6 / 6 papers shown
Title
To Push or To Pull: On Reducing Communication and Synchronization in
  Graph Computations
To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations
Maciej Besta
Michal Podstawski
Linus Groner
Edgar Solomonik
Torsten Hoefler
72
138
0
30 Oct 2020
A Survey on Geographically Distributed Big-Data Processing using
  MapReduce
A Survey on Geographically Distributed Big-Data Processing using MapReduce
Shlomi Dolev
Patricia Florissi
E. Gudes
Shantanu Sharma
Ido Singer
AI4TSFedML
124
67
0
06 Jul 2017
When Hashes Met Wedges: A Distributed Algorithm for Finding High
  Similarity Vectors
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors
Aneesh Sharma
C. Seshadhri
Ashish Goel
46
17
0
03 Mar 2017
Security and Privacy Aspects in MapReduce on Clouds: A Survey
Security and Privacy Aspects in MapReduce on Clouds: A Survey
Philip Derbeko
Shlomi Dolev
E. Gudes
Shantanu Sharma
54
87
0
02 May 2016
Dimension Independent Matrix Square using MapReduce
Dimension Independent Matrix Square using MapReduce
R. Zadeh
Gunnar Carlsson
143
21
0
04 Apr 2013
Dimension Independent Similarity Computation
Dimension Independent Similarity Computation
R. Zadeh
Ashish Goel
92
75
0
11 Jun 2012
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