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GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 8 months ago
Self-modifying cartesian genetic programming
In nature, systems with enormous numbers of components (i.e. cells) are evolved from a relatively small genotype. It has not yet been demonstrated that artificial evolution is su...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
130
Voted
PVM
2005
Springer
15 years 7 months ago
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Thomas Serafini, Luca Zanni, Gaetano Zanghirati
129
Voted
EAGC
2004
Springer
15 years 7 months ago
A Grid-Enabled Adaptive Problem Solving Environment
AS complexity of computational applications and their environments has been increased due to the heterogeneity of resources; complexity, continuous changes of the applications as w...
Yoonhee Kim, Ilkyeun Ra, Salim Hariri, Yangwoo Kim
ASPDAC
2006
ACM
119views Hardware» more  ASPDAC 2006»
15 years 7 months ago
Using speculative computation and parallelizing techniques to improve scheduling of control based designs
Recent research results have seen the application of parallelizing techniques to high-level synthesis. In particular, the effect of speculative code transformations on mixed contr...
Roberto Cordone, Fabrizio Ferrandi, Marco D. Santa...
IPPS
1999
IEEE
15 years 6 months ago
Evolution-Based Scheduling of Fault-Tolerant Programs on Multiple Processors
The paper introduces a family of scheduling problems called fault-tolerant programs scheduling FTPS. Since FTPS problems are, in general, computationally di cult, a challenge is to...
Piotr Jedrzejowicz, Ireneusz Czarnowski, Henryk Sz...