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 ...
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...
Grid computing focuses on making use of a very large amount of resources from a large-scale computing environment. It intends to deliver high-performance computing over distribute...
In this paper, we consider the problem of nding llpreserving ordering of a sparse symmetric and positive de nite matrix such that the reordered matrix is suitable for parallel fac...
Parallel load balancing is studied for problems with certain bisection properties. A class of problems has bisectors if every problem p of weight wp in the class can be subdivided...