To fully realize the benefits of partial and rapid reconfiguration of field-programmable devices, we often need to dynamically schedule computing tasks and generate instance-sp...
Metacomputing allows the exploitation of geographically seperate, heterogenous networks and resources. Most metacomputers are feature rich and carry a long, complicated installati...
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...
A replay tool aiming to reproduce a program's execution interposes itself at an appropriate replay interface between the program and the environment. During recording, it log...
Ming Wu, Fan Long, Xi Wang, Zhilei Xu, Haoxiang Li...
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...