There are two popular parallel I/O programming styles used by modern scientific computational applications: unique-file and shared-file. Unique-file I/O usually gives satisfactory ...
Kui Gao, Wei-keng Liao, Arifa Nisar, Alok N. Choud...
Scheduling tasks on large-scale computational grids is difficult due to the heterogeneous computational capabilities of the resources, node unavailability and unreliable network ...
A distributed, parallel implementation of the widely used Modular Semi-Automated Forces ModSAF Distributed Interactive Simulation DIS is presented, with Scalable Parallel Processo...
Sharon Brunett, Dan Davis, Thomas Gottschalk, Paul...
An upgrade from dual-core to quad-core AMD processor on the Cray XT system at the Oak Ridge National Laboratory (ORNL) Leadership Computing Facility (LCF) has resulted in significa...
Sadaf R. Alam, Richard F. Barrett, Heike Jagode, J...
Parallel and distributed programming is conceptually harder to undertake and to understand than sequential programming, because a programmer often has to manage the coexistence an...