Dr. Jeannette M. Wing

Assistant Director of Computer and Information Science and Engineering Directorate, National Science Foundation, Washington D.C.; and President.s Professor of Computer Science, Computer Science Dept., Carnegie Mellon Univ., Pittsburgh, PA, USA.

Author

Jeannette M. Wing, PA, USA

Abstract

The NSF Computer and Information Science and Engineering Directorate funds 84 percent of all academic computer science research in the United States. Dr. Wing will present highlights of CISE.s research and education programs, including current interests in cyber-enabled discovery and innovation, cyber-physical systems, data-intensive computing, network science and engineering, socially intelligent computing, trustworthy computing, and future interests in green IT and computational economics. Dr. Wing will also put NSF.s investments in computing within the broader national and international context.

High-speed links are particularly hard to analyze because of the complex interplay of device/circuit parasitics and channel filtering operation. In this paper we introduce optimization-based framework for link design-space exploration, connecting the link transmission quality and top-level filter settings with circuit power, sizing and biasing. We derive a special analytical discrete time representation that avoids the size explosion of the symbolic problem description improving the parsing and solver time by orders of magnitude and making this joint optimization possible in real-time. This robust and accurate problem formulation is derived in signomial form and is compatible with existing optimization approaches to circuit sizing. We demonstrate this optimization framework on a link design-space exploration example, investigating trade-offs between the transmit preemphasis and linear receiver equalizer and their impact on overall link power vs. data rate.