Accepted Papers

Paper-ID: ScaDL-01

Title: 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)

Paper-ID: ScaDL-02

Title: Asynchronous SGD for DNN training on Shared-memory Parallel Architectures

Authors: 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)

Paper-ID: ScaDL-03

Title: 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

Paper-ID: ScaDL-04

Title: 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

Paper-ID: ScaDL-05

Title: 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