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JASIS
2000
143views more  JASIS 2000»
13 years 7 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
IPPS
1999
IEEE
13 years 11 months ago
Reducing Parallel Overheads Through Dynamic Serialization
If parallelism can be successfully exploited in a program, significant reductions in execution time can be achieved. However, if sections of the code are dominated by parallel ove...
Michael Voss, Rudolf Eigenmann
EUROPAR
2003
Springer
14 years 21 days ago
KOJAK - A Tool Set for Automatic Performance Analysis of Parallel Programs
Abstract. Today’s parallel computers with SMP nodes provide both multithreading and message passing as their modes of parallel execution. As a consequence, performance analysis a...
Bernd Mohr, Felix Wolf
IPPS
2005
IEEE
14 years 1 months ago
A Case Study on Pattern-Based Systems for High Performance Computational Biology
Computational biology research is now faced with the burgeoning number of genome data. The rigorous postprocessing of this data requires an increased role for high performance com...
Weiguo Liu, Bertil Schmidt
CP
2009
Springer
14 years 8 months ago
Confidence-Based Work Stealing in Parallel Constraint Programming
The most popular architecture for parallel search is work stealing: threads that have run out of work (nodes to be searched) steal from threads that still have work. Work stealing ...
Geoffrey Chu, Christian Schulte, Peter J. Stuckey