Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Deposition of dispersed and ultradispersed solid particles in cylindrical channels has received considerable attention due to its practical significance and direct application in i...
Herbert Loria Molina, Pedro Pereira-Almao, Carlos ...
In this paper, we develop a new language construct to address one of the pitfalls of parallel programming: precise handling of events across parallel components. The construct, te...
William Thies, Michal Karczmarek, Janis Sermulins,...
We evaluate the e ect of processor speed, network bandwidth, and software overhead on the performance of release-consistent software distributed shared memory. We examine ve di er...
Sandhya Dwarkadas, Peter J. Keleher, Alan L. Cox, ...
Speculative computing is a technique to improve the execution time of certain applications by starting some computations before it is known that the computations are required. A s...