BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:IC Talk: Computing Near Storage
DTSTART:20230612T100000
DTEND:20230612T110000
DTSTAMP:20260428T181713Z
UID:d8348e4667e2917cf32dff3549ffd2844dae9436fdb489ee8f66d48b
CATEGORIES:Conferences - Seminars
DESCRIPTION:Arvind - CSAIL\, MIT\nWe live in an age where enormous amount 
 of data is being collected constantly because of smart phones\, ubiquitous
  presence of sensors and the wide-spread use of social media. Useful and c
 ost-effective analysis of this data is the biggest economic driver for the
  IT industry. Such analyses are often done in data centers or on cluster o
 f machines because they involve applying sophisticated algorithms to terab
 yte-size graphs\, which are extremely irregular and sparse. We will show h
 ow low-power appliances for such analyses can be built using flash storage
  and hardware accelerators. Such appliances are likely to be 10X cheaper t
 han 16-32 node server clusters and will come in the form factor of an SSD 
 to be plugged into your laptop.\n\nBiography: Arvind is the Head of Comput
 er Science Faculty and the Charles and Jennifer Johnson Professor of Compu
 ter Science and Engineering at MIT. Arvind’s group\, in collaboration wi
 th Motorola\, built the Monsoon dataflow machines and its associated softw
 are in the late eighties. In 2000\, Arvind started Sandburst which was sol
 d to Broadcom in 2006. In 2003\, Arvind co-founded Bluespec Inc.\, an EDA 
 company to produce a set of tools for high-level synthesis. Arvind's curre
 nt research focus is to enable rapid development of embedded systems and d
 esigning complex digital chips with associated correctness proofs. Arvind 
 is a Fellow of IEEE and ACM\, and a member of the National Academy of Engi
 neering and the American Academy of Arts and Sciences.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR