Computing Using Time

George Tzimpragos

Abstract: 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.

Bio: 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.

Hosts: Karl Berggren & Joel Emer

Details

• Date: Tuesday, March 8
• Time: 11:00 am - 12:00 pm
• Category: Special Seminar
• Location: Grier A (34-401A)

Host

• Chadwick Collins
• Email: chadcoll@mit.edu