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...
Efficient and robust metacomputing requires the decomposition of complex jobs into tasks that must be scheduled on distributed processing nodes. There are various ways of creating...
Data futures in a metacomputing system refer to data products that have not yet been created but which can be uniquely named and manipulated. We employ data flow mechanisms expres...
— The frenetic development of the current architectures places a strain on the current state-of-the-art programming environments. Harnessing the full potential of such architectu...
George Bosilca, Aurelien Bouteiller, Anthony Danal...
Parallel computing on volatile distributed resources requires schedulers that consider job and resource characteristics. We study unconventional computing environments containing ...
Brent Rood, Nathan Gnanasambandam, Michael J. Lewi...