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94
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IEEECIT
2010
IEEE
14 years 11 months ago
Scaling the iHMM: Parallelization versus Hadoop
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlac...
96
Voted
LCPC
2007
Springer
15 years 7 months ago
An Experimental Evaluation of the New OpenMP Tasking Model
The OpenMP standard was conceived to parallelize dense array-based applications, and it has achieved much success with that. Recently, a novel tasking proposal to handle unstructur...
Eduard Ayguadé, Alejandro Duran, Jay Hoefli...
94
Voted
PADS
2003
ACM
15 years 6 months ago
Maya: a Multi-Paradigm Network Modeling Framework
This paper presents Maya, a multi-paradigm, scalable and extensible network modeling framework for emulating distributed applications. A novel three-tier architecture is proposed ...
Junlan Zhou, Zhengrong Ji, Mineo Takai, Rajive Bag...
RCC
2000
113views more  RCC 2000»
15 years 16 days ago
The Aristotle Approach to Open Hypermedia
Large-scale distributed hypermedia systems comprise a generation of powerful tools to meet the demands of the new information globalization era. The most promising of such systems...
Costas Petrou, Drakoulis Martakos, Michael Hatzopo...
113
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WOSP
2005
ACM
15 years 6 months ago
Applying SPE techniques for modeling a grid-enabled JAVA platform
Advances in Internet and the availability of powerful computers and high-speed networks have propitiated the rise of Grids. The scheduling of applications is complex in Grids due ...
Mariela Curiel, M. Angélica Pérez, R...