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» Parallelizing Functional Programs by Generalization
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GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 8 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
136
Voted
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 6 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
SAC
2006
ACM
15 years 8 months ago
Building the functional performance model of a processor
In this paper, we present an efficient procedure for building a piecewise linear function approximation of the speed function of a processor with hierarchical memory structure. Th...
Alexey L. Lastovetsky, Ravi Reddy, Robert Higgins
153
Voted
PVLDB
2008
182views more  PVLDB 2008»
15 years 1 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
DAC
2004
ACM
15 years 6 months ago
Communication-efficient hardware acceleration for fast functional simulation
This paper presents new technology that accelerates system verification. Traditional methods for verifying functional designs are based on logic simulation, which becomes more tim...
Young-Il Kim, Woo-Seung Yang, Young-Su Kwon, Chong...