We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Thermal hot spots and temperature gradients on the die need to be minimized to manufacture reliable systems while meeting energy and performance constraints. In this work, we solve...
We develop architectural techniques for mitigating the impact of process variability. Our techniques hide the performance effects of slow components--including registers, function...
Bogdan F. Romanescu, Michael E. Bauer, Sule Ozev, ...
We consider i) the overhead minimization of maximum-distance seperable (MDS) storage codes for the repair of a single failed node and ii) the total secure degrees-of-freedom (S-DoF...
This work presents a set of protocols for scheduling a meeting among agents that represent their respective user's interests. Four protocols are discussed: a) the full inform...
Jacques Wainer, Paulo Roberto Ferreira Jr., Everto...