As processing power becomes cheaper and more available in cluster of computers, the need for parallel algorithm that can harness this computing potentials will increase. One applic...
Jalal A. Nasiri, M. Amir Moulavi, Sepideh Nazemi G...
Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
All but the most briefly used systems must evolve as their mission and roles change over time. Evolution in the context of large distributed systems is extraordinarily complex bec...
A common technique used to minimize I/O in data intensive applications is data declustering over parallel servers. This technique involves distributing data among several disks so...
Hakan Ferhatosmanoglu, Ali Saman Tosun, Guadalupe ...
In this paper, we describe our experience with developing Airshed, a large pollution modeling application, in the Fx programming environment. We demonstrate that high level parall...
Jaspal Subhlok, Peter Steenkiste, James M. Stichno...