[hpc-announce] ScaDL (Scalable Deep Learning over Parallel And Distributed Infrastructures) workshop call for online free participation

Danilo Ardagna danilo.ardagna at polimi.it
Thu May 7 12:28:04 CDT 2020

Apologise for multiple posting.

ScaDL workshop will be held on line on May 22 from 9.45 to 15.00 EDT according to the following program. 
Participation will be free but we still need to know who is planning to attend. Capacity is limited to 50 participants. 
The logistics for attending the conference (URL, etc.) will be emailed to registered participants.
Register for free at https://forms.gle/ja9g6sXP76irt5v86

09:45 - 10:00 Welcome by the organizers
10:00 - 10:40 Keynote/Invited Talk by Dr. Manish Gupta, Google Research, India.
10:40 - 11:00 Accelerating Towards Larger Deep Learning Models and Datasets – A System Platform View Point 
11:00 - 11:40 Keynote/Invited Talk by Prof. Geoffrey Fox, Indiana University, USA.
High-Performance Computing: From Deep Learning to Data Engineering
11:40 - 12:00 Efficient Training of Semantic Image Segmentation on Summit using Horovod and MVAPICH2-GDR 
12:00 - 12:20 Break
12:20 - 13:00 Keynote/Invited Talk by Prof. Wen-mei Hwu of UIUC, USA.
Advancing Computing Infrastructure for Very Large-Scale Deep Learning at C3SR
13:00 - 13:20 Data Parallel Large Sparse Deep Neural Network on GPU 
13:20 - 14:00 Keynote/Invited Talk by Dr. Minsik Cho of IBM, USA.
Scalable Deep Learning Inference: Algorithmic Approach
14:00 - 14:15 Neural Network Molecular Dynamics at Scale 
14:15 - 14:30 Asynchronous SGD for DNN training on Shared-memory Parallel Architectures
14:30 - 14:45 Closing Remarks by the organizers
Danilo Ardagna
Politecnico di Milano
Dipartimento di Elettronica, Informazione e Bioingegneria 
Via Golgi 42
20133 Milano, Italy
Phone: +39 02 2399 3514
Fax: +39 02 2399 3574
e-mail: danilo.ardagna at polimi.it

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