Several works on grid computing have been proposed in the last years. However, most of them, including available software, can not deal properly with some issues related to contro...
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
This paper presents a new algorithm for exact estimation of the minimum memory size required by programs dealing with array computations. Memory size is an important factor a ecti...
This paper proposes a state encoding method for asynchronous circuits based on the theory of regions. A region in a Transition System is a set of states that "behave uniforml...
Jordi Cortadella, Michael Kishinevsky, Alex Kondra...
This paper explores a novel way to incorporate hardware-programmable resources into a processor microarchitecture to improve the performance of general-purpose applications. Throu...