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» Evaluating SPLASH-2 Applications Using MapReduce
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APPT
2009
Springer
13 years 11 months ago
Evaluating SPLASH-2 Applications Using MapReduce
MapReduce has been prevalent for running data-parallel applications. By hiding other non-functionality parts such as parallelism, fault tolerance and load balance from programmers,...
Shengkai Zhu, Zhiwei Xiao, Haibo Chen, Rong Chen, ...
CLOUDCOM
2010
Springer
13 years 2 months ago
Evaluation of MapReduce for Gridding LIDAR Data
-- The MapReduce programming model, introduced by Google, has become popular over the past few years as a mechanism for processing large amounts of data, using sharednothing parall...
Sriram Krishnan, Chaitanya K. Baru, Christopher J....
ICDE
2012
IEEE
252views Database» more  ICDE 2012»
11 years 7 months ago
Fuzzy Joins Using MapReduce
—Fuzzy/similarity joins have been widely studied in the research community and extensively used in real-world applications. This paper proposes and evaluates several algorithms f...
Foto N. Afrati, Anish Das Sarma, David Menestrina,...
FGIT
2011
Springer
12 years 4 months ago
Performance Evaluation of MapReduce Applications on Cloud Computing Environment, FutureGrid
This paper describes the result of performance evaluation of two kinds of MapReduce applications running in the FutureGrid: a data intensive application and a computation intensive...
Yunhee Kang, Geoffrey C. Fox
ICPP
2009
IEEE
13 years 11 months ago
Speeding Up Distributed MapReduce Applications Using Hardware Accelerators
—In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system archi...
Yolanda Becerra, Vicenç Beltran, David Carr...