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GECCO
2005
Springer
14 years 2 months ago
Probabilistic distribution models for EDA-based GP
This paper proposes a novel technique for a program evolution based on probabilistic models. In the proposed method, two probabilistic distribution models with probabilistic depen...
Kohsuke Yanai, Hitoshi Iba
ICPPW
2005
IEEE
14 years 2 months ago
Load Balancing Hybrid Programming Models for SMP Clusters and Fully Permutable Loops
This paper emphasizes on load balancing issues associated with hybrid programming models for the parallelization of fully permutable nested loops onto SMP clusters. Hybrid paralle...
Nikolaos Drosinos, Nectarios Koziris
FGCS
2010
119views more  FGCS 2010»
13 years 7 months ago
Characterizing fault tolerance in genetic programming
Evolutionary Algorithms, including Genetic Programming (GP), are frequently employed to solve difficult real-life problems, which can require up to days or months of computation. ...
Daniel Lombraña Gonzalez, Francisco Fern&aa...
IFL
2004
Springer
131views Formal Methods» more  IFL 2004»
14 years 2 months ago
Exploiting Single-Assignment Properties to Optimize Message-Passing Programs by Code Transformations
The message-passing paradigm is now widely accepted and used mainly for inter-process communication in distributed memory parallel systems. However, one of its disadvantages is the...
Alfredo Cristóbal-Salas, Andrey Chernykh, E...
PPPJ
2003
ACM
14 years 2 months ago
Supporting interactive invocation of remote services within an integrated programming environment
Building distributed systems is an inherently difficult and complex task. Modern middleware architectures assist developers ding abstractions that hide transport layer functionali...
Bruce Quig, John Rosenberg, Michael Kölling