Talk Videos

"A Stitch in Time": A Grand Challenge for Distributed Machine Learning

Dr. Manish Gupta of Google Research, India

High-Performance Computing: From Deep Learning to Data Engineering

Prof. Geoffrey Fox of Indiana University, USA

Advancing Computing Infrastructure for Very Large-Scale Deep Learning at C3SR

Prof. Wen-mei Hwu of UIUC, USA

Scalable Deep Learning Inference: Algorithmic Approach

Dr. Minsik Cho of IBM, USA

Accelerating Towards Larger Deep Learning Models and Datasets – A System Platform View Point

Authors: Saritha Vinod, Naveen M, Anto Ajay Raj John and Asis K Patra, IBM India Systems Development Lab, India

Efficient Training of Semantic Image Segmentation on Summit using Horovod and MVAPICH2-GDR

Authors: Quentin Anthony, Ammar Ahmad Awan, Arpan Jain, Hari Subramoni and Dhabaleswar K. Panda, Dept. of Computer Science and Engineering, The Ohio State University, USA

Data Parallel Large Sparse Deep Neural Network on GPU

Authors: Naw Safrin Sattar and Shaikh Arifuzzaman, Department of Computer Science, University of New Orleans, USA

Neural Network Molecular Dynamics at Scale

Authors: Pankaj Rajak (Argonne Leadership Computing Facility, Argonne National Laboratory, USA), Kuang Liu, Aravind Krishnamoorthy, Rajiv Kalia, Aiichiro Nakano, Ken-Ichi Nomura, Subodh Tiwari and Priya Vashishta (Collaboratory for Advanced Computing and Simulations, University of Southern California, USA)

Asynchronous SGD for DNN training on Shared-memory Parallel Architectures

Florent Lopez (Innovative Computing Laboratory (ICL), University of Tennessee, USA), Edmond Chow (College of Computing, Georgia Institute of Technology, USA), Stanimire Tomov (Innovative Computing Laboratory (ICL), University of Tennessee, USA) and Jack Dongarra (Innovative Computing Laboratory (ICL), University of Tennessee, USA)

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