Recently, the high-performance computing community has realized that power is a performance-limiting factor. One reason for this is that supercomputing centers have limited power ...
Robert Springer, David K. Lowenthal, Barry Rountre...
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
Modern microprocessors employ increasingly complicated branch predictors to achieve instruction fetch bandwidth that is sufficient for wide out-of-order execution cores. While ex...
Branch predictors typically use combinations of branch PC bits and branch histories to make predictions. Recent improvements in branch predictors have come from reducing the effec...
Fast networks have made it possible to coordinate distributed heterogeneous CPU, memory, and storage resources to provide a powerful platform for executing high-performance applic...