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» Parallelizing Functional Programs by Generalization
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PPOPP
2005
ACM
15 years 8 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
ICFP
2010
ACM
15 years 3 months ago
Lazy tree splitting
Nested data-parallelism (NDP) is a declarative style for programming irregular parallel applications. NDP languages provide language features favoring the NDP style, efficient com...
Lars Bergstrom, Mike Rainey, John H. Reppy, Adam S...
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 7 months ago
Variable size population for dynamic optimization with genetic programming
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
Leonardo Vanneschi, Giuseppe Cuccu
FOAL
2009
ACM
15 years 8 months ago
Enhancing base-code protection in aspect-oriented programs
Aspect-oriented programming (AOP) promises to localize concerns that inherently crosscut the primary structural decomposition of a software system. Localization of concerns is cri...
Mohamed ElBendary, John Boyland
HIPS
1998
IEEE
15 years 6 months ago
Language Bindings for a Data-Parallel Runtime
The NPAC kernel runtime, developed in the PCRC Parallel Compiler Runtime Consortium project, is a runtime library with special support for the High Performance Fortran data model....
Bryan Carpenter, Geoffrey Fox, Donald Leskiw, Xiao...