SC18 BoF: Designing and Building Next-Generation Computer Systems for Deep Learning

November 13, 2018
D227 Kay Bailey Hutchison Convention Center
Dallas, TX

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 are 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, and Yangang Wang from Computer Network Information Center (CNIC) of Chinese Academy of Sciences.

BoF Presenters

  • Lin Gan, Assistant Director and Head of R&D, National Supercomputing Center in Wuxi, Tsinghua University
  • Michael Houston, Distinguished Engineer in the Deep Learning at NVIDIA
  • Jinshui Liu, Chief Architect for IT hardware & Head of D-Lab, Huawei
  • Guojing Cong, Research staff member at IBM’s Thomas J. Watson Research Center
  • Mike Davies, Director of Intel’s Neuromorphic Computing Lab