An increasing number of science and engineering applications require distributed and parallel computing resources to satisfy user response-time requirements. Distributed science a...
Kenneth A. Hawick, Heath A. James, Craig J. Patten...
We describe MW – a software framework that allows users to quickly and easily parallelize scientific computations using the master-worker paradigm on the computationalgrid. MW ...
Jean-Pierre Goux, Sanjeev Kulkarni, Jeff Linderoth...
The lack of high-level design tools hampers the widespread adoption of adaptive computing systems. Application developers have to master a wide range of functions, from the high-le...
Kiran Bondalapati, Pedro C. Diniz, Phillip Duncan,...
Grid and distributed public computing schemes has become an essential tool for many scientific fields including bioinformatics, computational biology and systems biology. The adopt...
— We consider the problem of designing controllers for spatially-varying interconnected systems distributed in one spatial dimension. The matrix structure of such systems can be ...