Weather and climate prediction software has enjoyed the benefits of exponentially increasing processor power for almost 50 years. Even with the advent of large-scale parallelism ...
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
Byzantine fault-tolerant (BFT) replication has enjoyed a series of performance improvements, but remains costly due to its replicated work. We eliminate this cost for read-mostly ...
The Sort operation is a core part of many critical applications. Despite the large efforts to parallelize it, the fact that it suffers from high data-dependencies vastly limits it...
Layali K. Rashid, Wessam Hassanein, Moustafa A. Ha...