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Stanford Seminar - Generalized Reversible Computing and the Unconventional Computing Landscape

Name: Stanford Seminar - Generalized Reversible Computing and the Unconventional Computing Landscape
Description: A Stanford EE380 seminar by Michael P. Frank of Sandia National Laboratories on generalized reversible computing. It surveys unconventional computing approaches as transistor scaling nears its limits and energy efficiency stops improving.

Stanford Online Lectures advanced

Open on YouTube First HN thread

2 HN users recommended this lecture in 2 different months between 2020 and 2021.

2007–2026

1 strong recommendation 1 recommendation 1 citation HackerTube score 2.5

HN commenters cite it as an informative talk from a leading researcher in reversible computing, mainly in threads on reversible computers and energy efficiency.

A Stanford EE380 seminar by Michael P. Frank of Sandia National Laboratories on generalized reversible computing. It surveys unconventional computing approaches as transistor scaling nears its limits and energy efficiency stops improving.

Pull quote: “his Stanford talk is extremely informative” (HN, 2020)

Also tagged: reversible computing, energy efficiency, unconventional computing, cmos limits, michael frank

What Hacker News said

3 labeled comments from the HN archive; up to 20 are kept per video, favoring different commenters. Each one links back to the original thread.

Strongly recommends jonbaer July 2020 under Are “reversible” computers more energy efficient, faster? (2004)

Informative Stanford talk by a leading reversible computing researcher

I think Michael P Frank is one of the more knowledgable people working on the subject, his Stanford talk is extremely informative ... [this video]

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Recommends gbrown_ February 2021 under Reversible Computing

Good starting point for Michael Frank's work

For anyone interested in the topic I highly recommend checking out Dr. Michael P. Frank's work. This video is good one to start with [this video]

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Citations, criticism and jokes

Cites it GiggleLiu March 2021 under Reversible Computing

Cites architectural overhead figure for reversible computing

According to [Michael Frank's video]( [this video] ), there is an architectural overhead of ~500x that people can not get over (IIUC, this overhead only applies for gate based computing models). A reasonable gap between state-of-the-art gate based computing models and Landauer's limit should be 10^2-10^3. On the other side, reversible computing in general has 2-16 times computational overhead at the software level from my using experience. To save energy, reversible computing has to be at least ~10x more energy efficient at the instruction level.

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