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» A Model of Computation for MapReduce
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BMCBI
2010
135views more  BMCBI 2010»
14 years 9 months ago
MrsRF: an efficient MapReduce algorithm for analyzing large collections of evolutionary trees
Background: MapReduce is a parallel framework that has been used effectively to design largescale parallel applications for large computing clusters. In this paper, we evaluate th...
Suzanne Matthews, Tiffani L. Williams
IEEEPACT
2008
IEEE
15 years 3 months ago
Mars: a MapReduce framework on graphics processors
We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by Google for the ease of ...
Bingsheng He, Wenbin Fang, Qiong Luo, Naga K. Govi...
122
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PVLDB
2011
14 years 4 months ago
Column-Oriented Storage Techniques for MapReduce
Users of MapReduce often run into performance problems when they scale up their workloads. Many of the problems they encounter can be overcome by applying techniques learned from ...
Avrilia Floratou, Jignesh M. Patel, Eugene J. Shek...
NOMS
2010
IEEE
180views Communications» more  NOMS 2010»
14 years 7 months ago
Performance-driven task co-scheduling for MapReduce environments
—MapReduce is a data-driven programming model proposed by Google in 2004 which is especially well suited for distributed data analytics applications. We consider the management o...
Jorda Polo, David Carrera, Yolanda Becerra, Malgor...
PVLDB
2011
14 years 4 months ago
Social Content Matching in MapReduce
Matching problems are ubiquitous. They occur in economic markets, labor markets, internet advertising, and elsewhere. In this paper we focus on an application of matching for soci...
Gianmarco De Francisci Morales, Aristides Gionis, ...