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Offline Website BuilderDue to perduring travel limitations, IPDPS 2022 will still be held as a virtual conference.
The ExSAIS organizing committee has planned an exciting online program, consisting in two keynotes, a panel, and a paper session with three flash talks on June 3 (starting at 8:00 AM PST, 11:00 AM EST, 3:00 PM UTC, 5:00 PM CET) with presentations Q/A for each accepted paper and the keynote. We provide below the tentative schedule.
Please note that IPDPS will be provide the platform for virtual conferencing, and attendees will need to be registered to IPDPS to attend also the workshops, access the papers, and (optional) presentation materials that speakers would like to share before the live event.
To attend ExSAIS, please register at: http://www.ipdps.org
| Time | Event |
|---|---|
| 8:00 - 8:05 | Welcome and Introduction Svitlana Volkova, Robert Rallo, Mahantesh Halappanavar |
| 8:05 - 9:05 | Keynote 1 - Chair: Svitlana Volkova Efficient DNN Training at Scale: from Algorithms to Hardware Gennady Pekhimenko (University of Toronto) |
| 9:05 - 10:35 | Panel: Scaling AI for Science - Moderator: Svitlana Volkova Panelists: Timo Bremer (LLNL), Saurabh Kulkarni (Graphcore), Asmeret Naugle (SNL), Angie Sheffield (NNSA), Gina Tourassi (ORNL), Draguna Vrabie (PNNL), Feiyi Wang (ORNL) |
| 10:35 - 10:45 | Break |
| 10:45 - 11:30 10:45 - 11:00 11:00 - 11:15 11:15 - 11:30 | Lighting Talks Learning to Scale the Summit: AI for Science on a Leadership Supercomputer Joubert, Messer, Roth, Georgiadou, Lietz, Eisenbach, Yin Strategies for Integrating Deep Learning Surrogate Models with HPC Simulation Applications Yin, Wang, Shankar A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems Dash, Hernandez, Tsaris, Alamudun, Yoon, Wang |
| 11:30 - 12:30 | Keynote 2 - Chair: Mahantesh Halappanavar Training Large Language Models: Challenges and Opportunities Mostofa Patwary (NVIDIA) |
| 12:30 - 12:35 | Closing Robert Rallo |
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