Driven by the increasing componentization of scientific codes, the deployment of high-end system infrastructures such as the Grid, and the desire to support high level problem so...
Pilsung Kang 0002, Mike Heffner, Joy Mukherjee, Na...
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
PANIC (Parallelism And Neural networks In Classifier systems) is a parallel system to evolve behavioral strategies codified by sets of rules. It integrates several adaptive techni...
This paper presents preliminary efforts to develop compilation and execution environments that achieve performance portability of multilevel parallelization on hierarchical archit...
Walden Ko, Mark N. Yankelevsky, Dimitrios S. Nikol...
As the number of processors in today’s high performance computers continues to grow, the mean-time-to-failure of these computers are becoming significantly shorter than the exe...
Zizhong Chen, Graham E. Fagg, Edgar Gabriel, Julie...