Approximate Circuits

Introduction.- Building Blocks.- General Data-Path Circuit-Level / Design Methods.- Memories & I/O.- System-Level.- Synergistic compiler and programming languages.- Conclusion.

Sherief Reda is an Associate Professor (with tenure) at the School of Engineering, Brown University. He joined the Computer Engineering group at Brown in 2006 after receiving his Ph.D. in computer science and engineering from University of California, San Diego. His research interests are in the area of computer engineering, with focus on energy efficient computing systems, design automation and test of integrated circuits, and reconfigurable computing. Prof. Reda has over 85 refereed conference and journal papers (Google scholar profile). He served as a member of technical program committees for many IEEE/ACM conferences including DAC, ICCAD, ASPDAC, DATE, ICCD, GLSVLSI, and SLIP. Professor Reda received a number of awards and acknowledgments, including a hot article in Operations Research letters in 2004, a first place award in ISPD VLSI placement contest in 2005, five best paper nominations (DATE 2002, ICCAD 2005, ASPDAC 2008, ISLPED 2010 and ICCAD 2015), two best paper awards (DATE 2002 and ISLPED 2010), Brown's Salomon award in 2008, and a NSF CAREER award. His research has been funded by NSF, DoD ARL, DARPA, AMD, Samsung, Intel, Qualcomm and Videology. He is a senior member of IEEE.

Muhammad Shafique is professor at the Institute of Computer Engineering, Department of Informatics, Vienna University of Technology (TU Wien), Austria. He is directing the Group on Computer Architecture and Robust, Energy-Efficient Technologies (CARE-Tech). He received his Ph.D. in Computer Science from Karlsruhe Institute of Technology (KIT), Germany in Jan.2011. Before, he worked at Streaming Networks Pvt. Ltd. on advanced video coding systems for several years. His research interests are in computer architecture, power- and energy-efficient systems, robust computing, hardware security, neuromorphic computing, machine learning, approximate computing, neurosciences, emerging technologies, self-learning, cognitive systems, FPGAs, MPSoCs, and embedded systems.