Variational methods are frequently used to approximate or bound the partition or likelihood function of a Markov random field. Methods based on mean field theory are guaranteed ...
Erik B. Sudderth, Martin J. Wainwright, Alan S. Wi...
Software-based thread-level parallelization has been widely studied for exploiting data parallelism in purely computational loops to improve program performance on multiprocessors...
There is a clear intuitive connection between the notion of leakage of information in a program and concepts from information theory. This intuition has not been satisfactorily pi...
I present a general framework for observing and controlling a distributed computation and its applications to distributed debugging. Algorithms for observation are useful in distr...
High-end computing is universally recognized to be a strategic tool for leadership in science and technology. A significant portion of high-end computing is conducted on clusters...