Interesting People mailing list archives

Computational memory: A stepping-stone to non-von Neumann * 4:30PM, Wed Mar 7, 2018 in Gates B03


From: "Dave Farber" <farber () gmail com>
Date: Sat, 3 Mar 2018 15:30:05 -0500




Begin forwarded message:

From: "Dennis Allison" <allison () stanford edu>
Date: March 3, 2018 at 12:00:40 PM EST
To: farber () cis upenn edu
Subject: [EE CS Colloq] Computational memory: A stepping-stone to non-von Neumann * 4:30PM, Wed Mar 7, 2018 in Gates 
B03
Reply-To: "Dennis Allison" <allison () stanford edu>

Stanford EE Computer Systems Colloquium

4:30 PM, Wednesday, Mar 7, 2018
NEC Auditorium, Gates Computer Science Building Room B3 
http://ee380.stanford.edu

Computational memory: A stepping-stone to non-von Neumann computing?
Abu Sebastian 
IBM Research Z&uumk;rich
About the talk:

In the advent of the data-centric AI era and the imminent end of CMOS scaling laws, the time is ripe to adopt 
computing units based on non-von Neumann computing architectures. A first step in this direction could be in-memory 
computing, where certain computational tasks are performed in place in a specialized memory unit called computational 
memory. Resistive memory devices, where information is represented in terms of atomic arrangements within tiny 
volumes of material, are poised to play a key role as elements of such computational memory units. I will present a 
few examples of how the physical attributes and dynamics of these devices can be exploited to achieve in-place 
computation. We expect that this co-existence of computation and storage at the nanometer scale could enable 
ultra-dense, low-power, and massively-parallel computing systems.

About the speaker:

      Abu Sebastian is a Research Staff Member and Master Inventor at IBM Research - Zürich. He was a contributor to 
several key projects in the field of storage and memory technologies. Most recently, he has been pursuing research in 
the area of non-von Neumann computing with the intent of connecting the technological elements with applications such 
as machine learning. In 2015, he was awarded a European Research Council (ERC) consolidator grant for this work.
Contact information:

Abu Sebastian
ABOUT THE COLLOQUIUM:

See the Colloquium website, http://ee380.stanford.edu, for scheduled speakers, FAQ, and additional information. 
Stanford and SCPD students can enroll in EE380 for one unit of credit. Anyone is welcome to attend; talks are webcast 
live and archived for on-demand viewing over the web.

MAILING LIST INFORMATION:

This announcement is sent to multiple mailing lists. If you are signed up on our private EE380 list you can remove 
yourself using the widget at the upper left hand corner of the Colloquium web page. Other lists have other management 
protocols.




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