Parallel programming models should attempt to satisfy two conflicting goals. On one hand, they should hide architectural details so that algorithm designers can write simple, port...
Brian Grayson, Michael Dahlin, Vijaya Ramachandran
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
The growing trend towards adoption of flexible and heterogeneous, parallel computing architectures has increased the challenges faced by the programming community. We propose a me...
Computational Grids potentially offer low cost, readily available, and large-scale high-performance platforms. For the parallel execution of programs, however, computational GRIDs ...
Abdallah Al Zain, Philip W. Trinder, Greg Michaels...
The Mermaid project focuses on the construction of simulation models for MIMD multi-computers in order to evaluate them and to give estimates of the system’s performance. A multi...
Andy D. Pimentel, J. van Brummen, T. Papathanassia...