Stream computing research is moving from terascale to petascale levels. It aims to rapidly analyze data as it streams in from many sources and make decisions with high speed and a...
Ankur Narang, Vikas Agarwal, Monu Kedia, Vijay K. ...
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Multicore processors are an architectural paradigm shift that promises a dramatic increase in performance. But, they also bring an unprecedented level of complexity in algorithmic ...
Daniele Paolo Scarpazza, Oreste Villa, Fabrizio Pe...
The paper presents two heuristics for hardware/software partitioning of system level specifications. The main objective is to achieve performance optimization with a limited hardw...
Petru Eles, Zebo Peng, Krzysztof Kuchcinski, Alex ...
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...