The UCLA Parallel Particle-in-Cell (UPIC) Framework, is designed to provide trusted components for building a variety of parallel Particle-in-Cell (PIC) codes. It is based on the ...
This paper addresses the problem of porting distributed parallel applications to the Grid. One of the challenges we address is the change from static homogeneous cluster environmen...
Vladimir Korkhov, Valeria V. Krzhizhanovskaya, Pet...
In this paper, we present the parallelization of tabu search on a network of workstations using PVM. Two parallelization strategies are integrated: functional decomposition strate...
Ahmad A. Al-Yamani, Sadiq M. Sait, Habib Youssef, ...
Sorting is a commonly used process with a wide breadth of applications in the high performance computing field. Early research in parallel processing has provided us with comprehen...
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...