PSyLab

(Processing Systems Lab)

Research Areas



Individual Projects

Computationally locked PLLs

Reducing PLL lock time for cold-start and relock by an order of magnitude.


Buck converter UniCAP

Demonstrating Unified Clock And Power architecture with a high-performance buck converter.


Quasi-resonant clocking

Augmenting resonant clocking design with dynamic frequency and voltage scaling capabilities.


Buck converter UniCAP

Demonstrating Unified Clock And Power architecture with a high-performance buck converter.


Switched-capacitor UniCAP

Demonstrating Unified Clock And Power architecture with a low-voltage switched-capacitor integrated voltage regulator.


Computationally controlled LDOs

A (significantly) simplified Model Predicitive Control approach to optimizing regulator dynamics


Computationally Enabled Digital Minimum Energy Point Tracking

A digital technique to determine total energy consumed per computation, inclusive of regulator losses, and dynamically set supply-voltage for minimum energy dissipation subject to minimum performance requirements


On-chip power supply measurement

Techniques for measuring on-chip supply noise with millivolt resolution and multi-GHz bandwidth.


High-density neural signal recording

A multiplexed neural-recording front-end that exploits neural-signal statistics to achieve a robust architecture with 10X improvement in neural recording density.


MATIC

Learning around failures in low-voltage on-chip memories to enable energy-efficient neural network accelerators.


Computationally controlled LDOs

A (significantly) simplified Model Predicitive Control approach to optimizing regulator dynamics


Computationally locked PLLs

Reducing PLL lock time for cold-start and relock by an order of magnitude.


Energy-efficient, Robust True Random Number Generators (TRNGs)

Digital true random-number generation with imperfect entropy sources.