We have developed a methodology for predicting the performance of parallel algorithms on real parallel machines. The methodology consists of two steps. First, we characterize a mac...
In this paper, we present our approach and architecture for fault diagnosis and self-healing of interpreted objectoriented applications. By combining aspect-oriented programming, ...
A. Reza Haydarlou, Benno J. Overeinder, Frances M....
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
Genetic programming is known to be capable of creating designs that satisfy prespecified high-level design requirements for analog electrical circuits and other complex structures...
John R. Koza, Forrest H. Bennett III, Oscar Stiffe...
We report on our experience with the implementation of the Real-time Specification for Java (RTSJ) in the DARPA Program Composition for Embedded System (PCES) program. Within the...
Jason Baker, Antonio Cunei, Chapman Flack, Filip P...