We describe a software infrastructure designed to support the development of applications that use high-speed networks to connect geographically distributed supercomputers, databa...
Ian T. Foster, Nicholas T. Karonis, Carl Kesselman...
In many scientific domains, researchers are turning to large-scale behavioral simulations to better understand real-world phenomena. While there has been a great deal of work on s...
Guozhang Wang, Marcos Antonio Vaz Salles, Benjamin...
Consider a multithreaded parallel application running inside a multicore virtual machine context that is itself hosted on a multi-socket multicore physical machine. How should the...
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
We address the problem of detecting irregularities in visual data, e.g., detecting suspicious behaviors in video sequences, or identifying salient patterns in images. The term &qu...