Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Weather and climate prediction software has enjoyed the benefits of exponentially increasing processor power for almost 50 years. Even with the advent of large-scale parallelism ...
— Efficient support of multicast traffic in Storage Area Networks (SANs) enables applications such as remote data replication and distributed multimedia systems, in which a ser...
Andrea Bianco, Paolo Giaccone, Enrico Maria Giraud...
We present a system, ESOLID, that performs exact boundary evaluation of low-degree curved solids in reasonable amounts of time. ESOLID performs accurate Boolean operations using e...
John Keyser, Tim Culver, Mark Foskey, Shankar Kris...
Traditional query processors generate full, accurate query results, either in batch or in pipelined fashion. We argue that this strict model is too rigid for exploratory queries o...