Towards a Standardized Representation for Deep Learning Collective Algorithms
HOTI - Hot Interconnects Symposium via YouTube
NY State-Licensed Certificates in Design, Coding & AI — Online
Get 20% off all career paths from fullstack to AI
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Learn about standardizing deep learning collective algorithms in this 19-minute technical conference presentation from the Hot Interconnects Symposium. Explore research findings presented by a team of experts including Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan and Tushar Krishna as part of Technical Paper Session C focused on Collectives for Deep Learning. Gain insights into the latest developments in creating unified representations for collective algorithms used in deep learning applications, chaired by Amanda Bienz from the University of New Mexico.
Syllabus
Day 2 09:10: Towards a Standardized Representation for Deep Learning Collective Algorithms
Taught by
HOTI - Hot Interconnects Symposium