Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Scalable heterogeneous computing systems, which are composed of a mix of compute devices, such as commodity multicore processors, graphics processors, reconfigurable processors, ...
Anthony Danalis, Gabriel Marin, Collin McCurdy, Je...
Abstract Queueing Petri nets are a powerful formalism that can be exploited for modeling distributed systems and analyzing their performance and scalability. By combining the model...
Computer architects are constantly faced with the need to improve performance and increase the efficiency of computation in their designs. To this end, it is increasingly common ...
Nathan Clark, Amir Hormati, Scott A. Mahlke, Sami ...
— Systems biologists are often faced with competing models for a given experimental system. Unfortunately, performing experiments can be time-consuming and expensive. Therefore, ...