Abstract. While traditional approaches to machine learning are sensitive to highdimensional state and action spaces, this paper demonstrates how an indirectly encoded neurocontroll...
In this paper, a programming model is presented which enables scalable parallel performance on multi-core shared memory architectures. The model has been developed for application...
A new dynamic vector approach for the selection and management of the configuration of a reconfigurable superscalar processor is proposed. This new method improves on previous wor...
Nick A. Mould, Brian F. Veale, Monte P. Tull, John...
The peer-to-peer approach to design large-scale systems has significant benefits including scalability, low cost of ownership, robustness, and ability to provide site autonomy. ...
Application servers have been widely adopted as distributed infrastructure (or middleware) for developing distributed systems. Current approaches for performance evaluation of app...
F. N. Souza, R. D. Arteiro, Nelson S. Rosa, Paulo ...