Our next talk will take place this coming Wednesday, October 22nd at 1:00 PM Eastern Time (10:00 AM Pacific Time, 19:00 Central European Time, 17:00 UTC). Ian Mertz from Charles University will take us through "A Random Walk Down Full Memory Lane" (abstract below).
Please sign up on the online form at https://sites.google.com/view/tcsplus/welcome/next-tcs-talk if you wish to join the talk as an individual or a group. Registration is /not/ required to attend the interactive talk, and the link will be posted on the website the day prior to the talk; however, by registering in the form, you will receive a reminder, along with the link. (The link to the recording will also be posted on our website afterwards.)
Hoping to see you all there,
The organizers
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Speaker: Ian Mertz (Charles University)
Title: A Random Walk Down Full Memory Lane
Abstract: Can full memory be an asset to computation? This is the question underlying catalytic computing (Buhrman et al. 2014), a recent paradigm in which a space-bounded machine has access to additional read-write catalytic memory, which is much larger than the regular work tape but whose initial contents must be reset by the computation.
We survey major techniques and results in the field by proving BPL is contained in CL, i.e. how to estimate random walk distributions using a catalytic tape. We will see three distinct proofs: 1) compression-based (Dulek 2015) 2) arithmetic reversibility (Buhrman et al. 2014); and 3) a simple algorithm using ideas from both (Cook-Pyne 2025).