Industry Spotlight - Deep Learning Hardware: Past, Present, and Future

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The current resurgence of artificial intelligence is due to advances in deep learning. Systems based on deep learning now exceed human capability in speech recognition, object classification, and playing games like Go. Deep learning has been enabled by powerful, efficient computing hardware. The algorithms used have been around since the 1980s, but it has only been in the last decade - when powerful GPUs became available to train networks - that the technology has become practical. Advances in DL are now gated by hardware performance. This talk will review the current state of deep learning hardware and explore a number of directions to continue performance scaling in the absence of Moore’s Law. Topics discussed will include number representation, sparsity, memory organization, optimized circuits, and analog computation.



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  • Date: 23 Nov 2021
  • Time: 06:00 PM to 07:15 PM
  • All times are US/Pacific
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Attendance is limited to 500, so please register if you do not want to miss the chance to attend. We will send instructions how to attend BY EMAIL shortly before presentation. (PLEASE DO NOT DOUBLE AND TRIPLE REGISTER)



  Speakers

Bill Dally

Bill Dally, Chief Scientist and Senior Vice President of Research, NVIDIA

Biography:

Social Media: https://www.linkedin.com/in/billdally/