Abstract Parallel asynchronous iterative algorithms relax synchronization and communication requirements, and can potentially extend Desktop Grids beyond embarrassingly parallel ap...
Abstract—Message progression schemes that enable communication and computation to be overlapped have the potential to improve the performance of parallel applications. With curre...
Abstract. In this paper, we apply a competitive coevolutionary approach using loosely coupled genetic algorithms to a distributed optimization of the Rosenbrock's function. Th...
Franciszek Seredynski, Pascal Bouvry, Farhad Arbab
Abstract—In this paper, we propose efficient routing algorithms for collective communication in a newly proposed, versatile network, called a recursive dual-net (RDN). The RDN c...
Abstract. Traditional code optimization techniques treat loops as nonpredictable structures and do not consider expressions containing array accesses for optimization. We show that...