This paper investigates communication strategies for interconnecting heterogeneous parallel systems. As the speed of processors and parallel systems keep on increasing over the ye...
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...
Exploiting speculative thread-level parallelism across modules, e.g., methods, procedures, or functions, have shown promise. However, misspeculations and task creation overhead ar...
A new challenge in scientific computing is to merge existing simulation models to create new higher fidelity combined (often multi-level) models. While this challenge has been a...
In this paper, we proposed dynamic co-allocation schemes for parallel data transfer in a grid environment, which copes up with highly inconsistent network performances of the serv...
Raghuvel S. Bhuvaneswaran, Yoshiaki Katayama, Naoh...