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» Clustering performance data efficiently at massive scales
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143
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IPPS
2010
IEEE
14 years 10 months ago
Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...
EDBT
2006
ACM
182views Database» more  EDBT 2006»
16 years 18 days ago
On High Dimensional Skylines
In many decision-making applications, the skyline query is frequently used to find a set of dominating data points (called skyline points) in a multidimensional dataset. In a high-...
Chee Yong Chan, H. V. Jagadish, Kian-Lee Tan, Anth...
94
Voted
HPDC
2010
IEEE
15 years 1 months ago
Twister: a runtime for iterative MapReduce
MapReduce programming model has simplified the implementation of many data parallel applications. The simplicity of the programming model and the quality of services provided by m...
Jaliya Ekanayake, Hui Li, Bingjing Zhang, Thilina ...
JMLR
2006
103views more  JMLR 2006»
15 years 13 days ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev
DEXAW
1999
IEEE
106views Database» more  DEXAW 1999»
15 years 4 months ago
Textual Similarities Based on a Distributional Approach
The design of efficient textual similarities is an important issue in the domain of textual data exploration. Textual similarities are for example central in document collection s...
Romaric Besançon, Martin Rajman, Jean-C&eac...