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CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 4 months ago
Parallel Sorted Neighborhood Blocking with MapReduce
: Cloud infrastructures enable the efficient parallel execution of data-intensive tasks such as entity resolution on large datasets. We investigate challenges and possible solution...
Lars Kolb, Andreas Thor, Erhard Rahm
ESOP
2012
Springer
12 years 16 days ago
Generate, Test, and Aggregate - A Calculation-based Framework for Systematic Parallel Programming with MapReduce
Abstract. MapReduce, being inspired by the map and reduce primitives available in many functional languages, is the de facto standard for large scale data-intensive parallel progra...
Kento Emoto, Sebastian Fischer, Zhenjiang Hu
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, ...
HPDC
2010
IEEE
13 years 6 months ago
Multi-GPU volume rendering using MapReduce
In this paper we present a multi-GPU parallel volume rendering implemention built using the MapReduce programming model. We give implementation details of the library, including s...
Jeff A. Stuart, Cheng-Kai Chen, Kwan-Liu Ma, John ...
IPPS
2010
IEEE
13 years 2 months ago
Large scale complex network analysis using the hybrid combination of a MapReduce cluster and a highly multithreaded system
Complex networks capture interactions among entities in various application areas in a graph representation. Analyzing large scale complex networks often answers important question...
Seunghwa Kang, David A. Bader