While application end-point architectures have proven to be viable solutions for large-scale distributed applications such as distributed computing and file-sharing, there is lit...
Kunwadee Sripanidkulchai, Aditya Ganjam, Bruce M. ...
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
The Replica Exchange method is a popular approach for studying the folding thermodynamics of small to modest size proteins in explicit solvent, since it is easily parallelized. Ho...
Maria Eleftheriou, Aleksandr Rayshubskiy, Jed W. P...
RPC is one of the programming models envisioned for the Grid. In Internet connected Large Scale Grids such as Desktop Grids, nodes and networks failures are not rare events. This ...