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NC
1998
138views Neural Networks» more  NC 1998»
13 years 9 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
PLDI
1993
ACM
13 years 12 months ago
Global Optimizations for Parallelism and Locality on Scalable Parallel Machines
Data locality is critical to achievinghigh performance on large-scale parallel machines. Non-local data accesses result in communication that can greatly impact performance. Thus ...
Jennifer-Ann M. Anderson, Monica S. Lam
ICCD
2005
IEEE
246views Hardware» more  ICCD 2005»
14 years 4 months ago
H-SIMD Machine: Configurable Parallel Computing for Matrix Multiplication
FPGAs (Field-Programmable Gate Arrays) are often used as coprocessors to boost the performance of dataintensive applications [1, 2]. However, mapping algorithms onto multimillion-...
Xizhen Xu, Sotirios G. Ziavras
DDECS
2006
IEEE
140views Hardware» more  DDECS 2006»
13 years 11 months ago
A Core Generator for Multi-ALU Processors Utilized in Genetic Parallel Programming
Abstract-- Genetic Parallel Programming (GPP) evolves parallel programs for MIMD architectures with multiple arithmetic/logic processors (MAPs). This paper describes a tool intende...
Zbysek Gajda
IJCNN
2007
IEEE
14 years 2 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz