BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:From parallel computing to parallel machine learning: Harness the 
 power of parallelism for distributed optimization processes - Maxwell Cai 
 (Intel Corporation)
DTSTART:20241017T130000Z
DTEND:20241017T140000Z
UID:TALK222943@talks.cam.ac.uk
CONTACT:Sri Aitken
DESCRIPTION:Parallel computing has transformed the way we approach computa
 tional problems by breaking down complex tasks into smaller ones that can 
 be solved simultaneously across multiple processing units. Building on thi
 s paradigm\, parallel machine learning extends the concept of parallel com
 puting with a specific focus on optimizing multivariate objective function
 s in machine learning models. As AI applications continue to scale up and 
 confront vast amounts of data and/or complex models\, an imperative questi
 on arises: how do we train AI models that are bigger than the maximum capa
 city of a single computer? In this context\, parallel machine learning eme
 rges as a critical pathway for addressing these challenges efficiently. In
  this presentation\, I will outline the key principles underlying parallel
  machine learning\, highlighting its reliance not only on efficient divide
 -and-conquer strategies but also on effective collective communication amo
 ng distributed computational nodes. 
LOCATION:East 2 room - West Hub
END:VEVENT
END:VCALENDAR