Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficien...
Value prediction is a relatively new technique to increase the Instruction Level Parallelism (ILP) in future microprocessors. An important problem when designing a value predictor...
Bart Goeman, Hans Vandierendonck, Koenraad De Boss...
As dependence on the World Wide Web continues to grow, so does the need for businesses to have quantitative measures of the client perceived response times of their Web services. ...
Data-intensive applications are increasingly designed to execute on large computing clusters. Grouped aggregation is a core primitive of many distributed programming models, and i...
We propose a dependent type theory that integrates programming, specifications, and reasoning about higher-order concurrent programs with shared transactional memory. The design ...
Aleksandar Nanevski, Paul Govereau, Greg Morrisett