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» Automatic Parallelization of Divide and Conquer Algorithms
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FSS
2010
147views more  FSS 2010»
13 years 3 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
ISPAN
1999
IEEE
13 years 9 months ago
Complete Exchange Algorithms in Wormhole-Routed Torus Networks: A Divide-and-Conquer Strategy
We present efficient all-to-all personalized communication algorithms for a 2D torus in wormhole-routed networks. Our complete exchange algorithm adopts divide-and-conquer approac...
Si-Gwan Kim, Seung Ryoul Maeng, Jung Wan Cho
ICPP
1987
IEEE
13 years 8 months ago
Parallel Algorithm for Maximum Weight Matching in Trees
We present an efficient coarse grained parallel algorithm for computing a maximum weight matching in trees. A divide and conquer approach based on centroid decomposition of trees ...
Shaunak Pawagi
EMO
2005
Springer
110views Optimization» more  EMO 2005»
13 years 10 months ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell
IPPS
1997
IEEE
13 years 9 months ago
A Comparison of Parallel Approaches for Algebraic Factorization in Logic Synthesis
Algebraic factorization is an extremely important part of any logic synthesis system but is computationally expensive. Hence it is important to look at parallel processing to spee...
Sumit Roy, Prithviraj Banerjee