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ICS
1993
Tsinghua U.
13 years 12 months ago
Graph Contraction for Physical Optimization Methods: A Quality-Cost Tradeoff for Mapping Data on Parallel Computers
Mapping data to parallel computers aims at minimizing the execution time of the associated application. However, it can take an unacceptable amount of time in comparison with the ...
Nashat Mansour, Ravi Ponnusamy, Alok N. Choudhary,...
CATA
2003
13 years 9 months ago
A Genetic Algorithm Approach to Static Task Scheduling in a Reconfigurable Hardware Environment
This paper presents a basic framework for applying static task scheduling techniques to arbitrarily-structured task systems whose targeted execution environment is comprised of fi...
Sin Ming Loo, B. Earl Wells, J. D. Winningham
GEM
2008
13 years 9 months ago
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Wayne Iba, Kelsey Marshman, Benjamin Fisk
ICPP
1999
IEEE
14 years 2 days ago
FLB: Fast Load Balancing for Distributed-Memory Machines
This paper describes a novel compile-time list-based task scheduling algorithm for distributed-memory systems, called Fast Load Balancing (FLB). Compared to other typical list sch...
Andrei Radulescu, Arjan J. C. van Gemund
EGC
2005
Springer
14 years 1 months ago
A Grid-Oriented Genetic Algorithm
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...