SC19 BoF: Designing and Building Next-Generation Computer Systems for Deep Learning

Tuesday, November 19, 2019
5:15pm – 6:45pm
Room 505, Colorado Convention Center
Denver, CO

Deep learning (DL) heavily relies on fast hardware and parallel algorithms to train complex neural networks. This BoF will bring together researchers and developers working on the design of next-generation computer systems for DL and parallel DL algorithms that can exploit the potential of these new systems. Research teams working on major deep learning systems deployed in the field will be invited to discuss latest hardware and software trends and to exchange views on the role Artificial Intelligence (AI) in general and DL in particular will play in the near future for big data analytics and HPC applications.

The BoF is co-organized by Volodymyr Kindratenko from NCSA, Yangang Wang from Computer Network Information Center (CNIC) of Chinese Academy of Sciences, and Morris Riedel from Forschungszentrum Juelich.

BoF Presenters

  • Michael Houston, Distinguished Engineer in the Deep Learning, NVIDIA
  • Mujun He, General Manager of Cloud Product Line, Sugon
  • Mike Davies, Director of Neuromorphic Computing Lab, Intel
  • Lin Gan, Assistant Director and Head of R&D, National Supercomputing Center in Wuxi, Tsinghua University
  • Natalia Vassilieva, Technical Product Manager, Cerebras Systems