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ESE Seminar – “Computing Using Time”

March 21, 2022 at 10:30 AM - 11:30 AM

The development of computing systems able to address our ever-increasing needs, especially as we reach the end of CMOS transistor scaling, requires truly novel methods of computing. My research draws inspiration from biology, rethinks the digital/analog boundary, and challenges conventional wisdom, which typically guides how we perform computation, by reimagining the role of time. In this talk, I firstly introduce a computational temporal logic that sets the foundation for temporal computing. Secondly, I demonstrate how this foundation opens up unique ways in which we can work with sensors and design machine learning systems. Thirdly, I describe how temporal operators provide answers to several long-lasting problems in pulse-based computing with emerging devices — specifically, superconducting. Finally, I touch upon future work with themes ranging from in-sensor online learning to hybrid quantum-classical computing and formally verifiable hardware.

George Tzimpragos

Ph.D. Candidate in Computer Science, UC Santa Barbara

George Tzimpragos is a Ph.D. candidate in Computer Science at UC Santa Barbara and a research affiliate at Lawrence Berkeley National Laboratory. His research explores how computer architecture concepts, along with a deeper understanding of the nature of computation and devices, can be used to develop new paradigms and cross-stack solutions for emerging applications and technologies. His work has been rewarded with an ASPLOS best paper award, a CACM research highlight, an IEEE Micro top pick, an IEEE Micro top pick honorable mention, and an invited oral presentation at EUCAS. He is also the creator of https://thejjunction.org, a platform for the exchange of ideas and resources on superconducting computing. His personal website is https://georgetzimpragos.com.


March 21, 2022
10:30 AM - 11:30 AM
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Electrical and Systems Engineering
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Raisler Lounge (Room 225), Towne Building
220 South 33rd Street
Philadelphia, PA 19104 United States
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