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» PGAC: A Parallel Genetic Algorithm for Data Clustering
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2005
IEEE
14 years 2 months ago
Load Balancing using Grid-based Peer-to-Peer Parallel I/O
In the area of Grid computing, there is a growing need to process large amounts of data. To support this trend, we need to develop efficient parallel storage systems that can prov...
Yijian Wang, David R. Kaeli
IPPS
2010
IEEE
13 years 7 months ago
A distributed diffusive heuristic for clustering a virtual P2P supercomputer
Abstract--For the management of a virtual P2P supercomputer one is interested in subgroups of processors that can communicate with each other efficiently. The task of finding these...
Joachim Gehweiler, Henning Meyerhenke
EUROGP
2007
Springer
175views Optimization» more  EUROGP 2007»
14 years 3 months ago
Fast Genetic Programming on GPUs
As is typical in evolutionary algorithms, fitness evaluation in GP takes the majority of the computational effort. In this paper we demonstrate the use of the Graphics Processing...
Simon Harding, Wolfgang Banzhaf
SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
14 years 9 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
ICDT
2001
ACM
147views Database» more  ICDT 2001»
14 years 1 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...