Introduction to Linear Optimization
Introduction to Linear Optimization
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
Design of pipeline analog-to-digital converters via geometric programming
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
Convex Optimization
A unified optimization framework for equalization filter synthesis
Proceedings of the 42nd annual Design Automation Conference
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
Performance-centering optimization for system-level analog design exploration
ICCAD '05 Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design
Optimal design of a CMOS op-amp via geometric programming
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
CMOS op-amp sizing using a geometric programming formulation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Design of energy-efficient high-speed links via forward error correction
IEEE Transactions on Circuits and Systems II: Express Briefs
An integrated framework for joint design space exploration of microarchitecture and circuits
Proceedings of the Conference on Design, Automation and Test in Europe
A low-swing crossbar and link generator for low-power networks-on-chip
Proceedings of the International Conference on Computer-Aided Design
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Connecting system-level performance models with circuit information has been a long-standing problem in analog/mixed-signal front-ends, like radios and high-speed links. 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.