Grid computing provides new solutions for numerous complex problems. It is an inevitable trend to implement the distributed parallel computing of large-scale problems with the gri...
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
Scientists are increasingly turning to numerical simulation in order to investigate and model complex environmental systems. Numerical simulation has enormous advantages over labor...
: The present paper discusses the implementations of sparse matrix-vector products, which are crucial for high performance solutions of large-scale linear equations, on a PC-Cluste...
Abstract. Random sampling is an important tool in the design of parallel algorithms. Using random sampling it is possible to obtain simple parallel algorithms which are e cient in ...