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GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
13 years 12 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay
DDECS
2006
IEEE
140views Hardware» more  DDECS 2006»
13 years 9 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
FPGA
2006
ACM
224views FPGA» more  FPGA 2006»
13 years 9 months ago
Flexible implementation of genetic algorithms on FPGAs
In this paper, we propose a technique to flexibly implement genetic algorithms for various problems on FPGAs. For the purpose, we propose a basic architecture for GA which consist...
Tatsuhiro Tachibana, Yoshihiro Murata, Naoki Shiba...
IPPS
1999
IEEE
13 years 9 months ago
A Parallel Genetic Algorithm for Task Mapping on Parallel Machines
In parallel processing systems, a fundamental consideration is the maximization of system performance through task mapping. A good allocation strategy may improve resource utilizat...
S. Mounir Alaoui, Ophir Frieder, Tarek A. El-Ghaza...
LCR
2000
Springer
172views System Software» more  LCR 2000»
13 years 9 months ago
Achieving Robust, Scalable Cluster I/O in Java
We present Tigris, a high-performance computation and I/O substrate for clusters of workstations that is implemented entirely in Java. Tigris automatically balances resource load a...
Matt Welsh, David E. Culler