Talk Videos
"A Stitch in Time": A Grand Challenge for Distributed Machine Learning
"A Stitch in Time": A Grand Challenge for Distributed Machine Learning
Dr. Manish Gupta of Google Research, India
Dr. Manish Gupta of Google Research, India
High-Performance Computing: From Deep Learning to Data Engineering
High-Performance Computing: From Deep Learning to Data Engineering
Prof. Geoffrey Fox of Indiana University, USA
Prof. Geoffrey Fox of Indiana University, USA
Advancing Computing Infrastructure for Very Large-Scale Deep Learning at C3SR
Advancing Computing Infrastructure for Very Large-Scale Deep Learning at C3SR
Prof. Wen-mei Hwu of UIUC, USA
Prof. Wen-mei Hwu of UIUC, USA
Scalable Deep Learning Inference: Algorithmic Approach
Scalable Deep Learning Inference: Algorithmic Approach
Dr. Minsik Cho of IBM, USA
Dr. Minsik Cho of IBM, USA
Accelerating Towards Larger Deep Learning Models and Datasets – A System Platform View Point
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
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
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
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
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
Authors: Naw Safrin Sattar and Shaikh Arifuzzaman, Department of Computer Science, University of New Orleans, USA
Neural Network Molecular Dynamics at Scale
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)
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
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)
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)