Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
In high-level synthesis for FPGA designs, scheduling and chaining of operations for optimal performance remain challenging problems. In this paper, we present a balanced schedulin...
David Zaretsky, Gaurav Mittal, Robert P. Dick, Pri...
Cache hierarchies have been traditionally designed for usage by a single application, thread or core. As multi-threaded (MT) and multi-core (CMP) platform architectures emerge and...
Abstract. This paper describes how function-based shape modeling can be expanded to web visualization, as well as how web-based visualization can be greatly improved by using the f...
Abstract— Despite years of research and development, pioneering deployments of multihop wireless networks have not proven successful. The performance of routing and transport is ...