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A Look at Our Research: Oscillator-based Computing, AMS Verification, Eye...

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  • UserProfessor Jaijeet Roychowdhury, EECS Dept., University of California, Berkeley
  • ClockMonday 09 March 2015, 15:00-16:30
  • HouseEEE Department, Room 1109A.

If you have a question about this talk, please contact Wiesia R Hsissen.

Title: “A Look at Our Research: Oscillator-based Computing, AMS Verification, Eye Prediction, Random Telegraph Noise and MAPP ”. We provide glimpses of our ongoing research, which ranges in nature from the speculative to the practical. In the PHLOGON project, we are developing novel implementations of computing primitives. By employing self-sustaining oscillators that encode logic values in phase, PHLOGON offers superior noise immunity and, potentially, energy efficiency by exploiting emerging nano-technologies. Our Accurate Booleanization of Continuous Systems (ABCD)project is a new approach to the long-standing analog/mixed-signal verification problem. By replacing continuous-time blocks (eg, SPICE -level circuits) by finite state machine approximations generated automatically by algorithm, we are able to bring scalable techniques for purely Boolean verification to bear on AMS systems. Our Berkeley Eye Estimator (BEE) identifies worst-case eyes in modern communication links without optimism or pessimism. Our MUSTARD algorithm enables device-level Random Telegraph Noise to be co-simulated in a statistically correct manner with circuits. Finally, we have developed the Model and Algorithm Prototyping Platform (MAPP), which removes a long-standing barrier to research in models/algorithms for continuous-time systems: the lack of a powerful yet convenient platform for prototyping new ideas. An alpha version of MAPP has recently been released in open source form.

Speaker’s Biography: Jaijeet Roychowdhury is a Professor in the EECS Department at the University of California at Berkeley. His current research interests encompass novel computational architectures and paradigms, analog and mixed-signal verification, multi-domain device modelling and open-source infrastructures for reproducible research. Prior to joining academia, Roychowdhury was with the Research Division of Bell Laboratories, where his work on MOS homotopies was cited as an Extraordinary Achievement. Over the years, he has authored or co-authored seven best or distinguished papers at ASP -DAC, DAC , and ICCAD . Roychowdhury has been an IEEE Circuits and Systems Society Distinguished Lecturer and has served as Program Chair of IEEE ’s CANDE and BMAS workshops. He has served on the Technical Program Committees of ICCAD , DAC, DATE , ASP-DAC and other EDA conferences, on the Executive Committee of ICCAD , on the Nominations and Appointments Committee of CEDA , and as an Officer of CANDE . Roychowdhury co-founded Berkeley Design Automation, an analog simulation startup acquired by Mentor Graphics in 2014. He is a Fellow of the IEEE .

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