We propose a software framework that augments context data with a range of assorted confidence/reputation metadata for dimensions such as security, privacy, safety, reliability, or...
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Distributed programming has shifted from private networks to the Internet using heterogeneous Web APIs. This enables the creation of situational applications of composed services ...
Many existing clusters use inexpensive Gigabit Ethernet and often have multiple interfaces cards to improve bandwidth and enhance fault tolerance. We investigate the use of Concurr...
Brad Penoff, Mike Tsai, Janardhan R. Iyengar, Alan...
Abstract. HeteroMPI is an extension of MPI designed for high performance computing on heterogeneous networks of computers. The recent new feature of HeteroMPI is the optimized vers...
Alexey L. Lastovetsky, Maureen O'Flynn, Vladimir R...