Abstract. This paper describes a memory enhanced evolutionary algorithm (EA) approach to the dynamic job shop scheduling problem. Memory enhanced EAs have been widely investigated ...
Abstract— In this paper, we present a novel and comprehensive resource management solution for the autonomous hot-spot convergence system (AHSCS) that uses sensor web. This solut...
Abstract—High computational effort in modern image processing applications like medical imaging or high-resolution video processing often demands for massively parallel special p...
Joachim Keinert, Hritam Dutta, Frank Hannig, Chris...
Abstract. Parallel loops account for the greatest percentage of program parallelism. The degree to which parallelism can be exploited and the amount of overhead involved during par...
Arun Kejariwal, Paolo D'Alberto, Alexandru Nicolau...
Abstract. We consider energy-performance tradeoff for scheduling parallel jobs on multiprocessors using dynamic speed scaling. The objective is to minimize the sum of energy consu...