Stanford Seminar - Generalized Reversible Computing and the Unconventional Computing Landscape
Why Hacker News recommends it
HN commenters cite it as an informative talk from a leading researcher in reversible computing, mainly in threads on reversible computers and energy efficiency.
What it is
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.
Recommended by 2 HN commenters across 2 different months, 2020 to 2021.
What Hacker News said
Strong rec jonbaer · 2020-07 · on “Are “reversible” computers more energy efficient, faster? (2004)”
I think Michael P Frank is one of the more knowledgable people working on the subject, his Stanford talk is extremely informative ... [this video]
Recommends gbrown_ · 2021-02 · on “Reversible Computing”
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]
Cites GiggleLiu · 2021-03 · on “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.