Data-intensive applications are increasingly designed to execute on large computing clusters. Grouped aggregation is a core primitive of many distributed programming models, and i...
Abstract. The resolution of combinatorial optimization problems can greatly benefit from the parallel and distributed processing which is characteristic of neural network paradigm...
This paper describes work in progress to develop a component-based software infrastructure, called Padico, for computational grids based on the CORBA Component Model from the OMG....
In heterogeneous and dynamic distributed systems like the Grid, detailed monitoring of workload and its resulting system performance (e.g. response time) is required to facilitate...
Rui Zhang, Steve Moyle, Steve McKeever, Stephen He...
Abstract - Three dimensional computed tomography is a computationally intensive procedure, requiring large amounts of R A M and processing power. Parallel methods for two dimension...
David A. Reimann, Vipin Chaudhary, Michael J. Flyn...