Stanford University Department of Electrical Engineering
Computer Systems Colloquium (EE380) Schedule
Wednesdays, 4:30-5:45 in Gates B03

The Stanford EE Computer Systems Colloquium (EE380) meets on Wednesdays 4:30-5:45 throughout the academic year. Talks are given before a live audience in Room B03 in the basement of the Gates Computer Science Building on the Stanford Campus. The live talks (and the videos hosted at Stanford and on YouTube) are open to the public.

Stanford students may enroll in EE380 to take the Colloquium as a one unit S/NC class. Enrolled students are required to keep and electronic notebook or journal and to write a short, pithy comment about each of the ten lectures and a short free form evaluation of the class in order to receive credit. Assignments are due at the end of the quarter, on the last day of examinations.

EE380 is a video class. Live attendance is encouraged but not required. We (the organizers) feel that watching the video is not a substitute for being present in the classroom. Questions are encouraged.

Many past EE380 talks are available on YouTube, see the EE380 Playlist.

Videos from the current Quarter are hosted by Stanford; the lecture videos are available on YouTube a day or so following the lecture. The videos are now in HTML5--you should be able to watch the videos on your mobile phone, tablet, or computer. See the individual talk abstracts for links to their videos and ancillary materials, if any.

Date Speaker Affiliation Topic Title
Sept 27, 2017 Brian Boucher Maxeler Technologies HPC using DFEs Multiscale Dataflow Computing: Competitive Advantage at the Exascale Frontier [VIDEO]
Oct 4, 2017 Stuart Oberman NVIDIA HPC using GPUs NVIDIA GPU Computing: A Journey from PC Gaming to Deep Learning [VIDEO]
Oct 11, 2017 John Stogin Scratchworktool Desktop Tools Scratchwork: a tool for developing and communicating technical ideas [VIDEO]
Oct 18, 2017 Michael P. Frank Sandia National Laboratories Unconventional Computing Generalized Reversible Computing and the Unconventional Computing Landscape [VIDEO]
Oct 25, 2017 Pentti Kanerva Stanford CSLI &
UC Berkeley Redwood Center for Theoretical Neuroscience
Sparse Distributed Memory Computing with High-Dimensional Vectors
Nov 1, 2017 Eric McGhee Public Policy Institute, UC Berkeley Data and Elections  
Nov 8, 2017      
Nov 15, 2017      
Nov 29, 2017 Tom Gruber Apple Computer NLV Agents  
Dec 6, 2017 Tapabrata Ghosh Ingemini LLC Machine Learning Petascale Deep Learning on a Single Chip


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