Dynamics of Randomized Iterative Methods for Large Systems We consider efficient methods for solving large systems widely encountered in signal processing, machine…
From Variability-Tolerance to Approximate Computing via Parallel Processing Variation in performance and power across manufactured parts and their operating conditions…
Energy Efficient Architectures Using Three-Dimensional Integration and Near-Threshold Computing Energy constrained computing has become an important design constraint…
Stochastic Circuits for Embedded Signal Processing Applications Mobile electronics are an essential part of our daily lives. With advances in the semiconductor and…
Inferring structure in large neural systems Characterizing the structure of neural circuits is a fundamental problemin neuroscience. Recent technological advances…
Surface Plasmons and Impurity States in Graphene Graphene, an atomically thin sheet of carbon atoms, provides a unique platform to study quasiparticle interactions and…
Topological Photonic Crystals Due to the recent
discovery of topological insulators, it has been recognized that topology is
indispensable in distinguishing phases of…