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» Mapping Heterogeneous Distributed Applications on Clusters
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106
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CLUSTER
2009
IEEE
15 years 9 months ago
Granules: A lightweight, streaming runtime for cloud computing with support, for Map-Reduce
— Cloud computing has gained significant traction in recent years. The Map-Reduce framework is currently the most dominant programming model in cloud computing settings. In this ...
Shrideep Pallickara, Jaliya Ekanayake, Geoffrey Fo...
119
Voted
ISPASS
2010
IEEE
15 years 9 months ago
The Hadoop distributed filesystem: Balancing portability and performance
—Hadoop is a popular open-source implementation of MapReduce for the analysis of large datasets. To manage storage resources across the cluster, Hadoop uses a distributed user-le...
Jeffrey Shafer, Scott Rixner, Alan L. Cox
BMCBI
2008
151views more  BMCBI 2008»
15 years 2 months ago
Application of the Linux cluster for exhaustive window haplotype analysis using the FBAT and Unphased programs
Background: Genetic association studies have been used to map disease-causing genes. A newly introduced statistical method, called exhaustive haplotype association study, analyzes...
Hiroyuki Mishima, Andrew C. Lidral, Jun Ni
104
Voted
CLUSTER
2002
IEEE
15 years 7 months ago
Design and Validation of Portable Communication Infrastructure for Fault-Tolerant Cluster Middleware
We describe the communication infrastructure (CI) for our fault-tolerant cluster middleware, which is optimized for two classes of communication: for the applications and for the ...
Ming Li, Wenchao Tao, Daniel Goldberg, Israel Hsu,...
120
Voted
IPPS
2007
IEEE
15 years 8 months ago
Java and asynchronous iterative applications: large scale experiments
This paper focuses on large scale experiments with Java and asynchronous iterative applications. In those applications, tasks are dependent and the use of distant clusters may be ...
Jacques M. Bahi, Raphaël Couturier, David Lai...