Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The...
—The problem of finding efficient workload distribution techniques is becoming increasingly important today for heterogeneous distributed systems where the availability of comp...
Vladimir Shestak, Edwin K. P. Chong, Anthony A. Ma...
Sort can be speeded up on parallel computers by dividing and computing data individually in parallel. Merge sort can be parallelized, however, the conventional algorithm implement...
In many distributed computing paradigms, especially sensor networks and ubiquitous computing but also grid computing and web services, programmers commonly tie their application to...
Jonathan J. Davies, Alastair R. Beresford, Alan My...
Abstract. Probabilistic timed automata are an extension of timed automata with discrete probability distributions. In previous work, a probabilistic notion of time divergence for p...