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» Process Scheduling for the Parallel Desktop
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137
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BMCBI
2010
139views more  BMCBI 2010»
15 years 2 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
114
Voted
IPPS
2003
IEEE
15 years 7 months ago
Parallel ROLAP Data Cube Construction On Shared-Nothing Multiprocessors
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining tas...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
139
Voted
GRID
2004
Springer
15 years 8 months ago
Parallel and Distributed Astronomical Data Analysis on Grid Datafarm
A comprehensive study of the whole petabyte-scale archival data of astronomical observatories has a possibility of new science and new knowledge in the field, while it was not fe...
Naotaka Yamamoto, Osamu Tatebe, Satoshi Sekiguchi
141
Voted
IPPS
2000
IEEE
15 years 7 months ago
A General Parallel Simulated Annealing Library and its Application in Airline Industry
To solve real-world discrete optimization problems approximately metaheuristics such as simulated annealing and other local search methods are commonly used. For large instances o...
Georg Kliewer, Stefan Tschöke
PPAM
2005
Springer
15 years 8 months ago
A Web Computing Environment for Parallel Algorithms in Java
We present a web computing library (PUBWCL) in Java that allows to execute tightly coupled, massively parallel algorithms in the bulk-synchronous (BSP) style on PCs distributed ove...
Olaf Bonorden, Joachim Gehweiler, Friedhelm Meyer ...