This was the 16th of our Industry Spotlight sessions.

Presentation: Deep Learning Hardware: Past, Present, and Future

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

Contact the Speaker:
Bill Dally on LinkedIn

HELD: Tuesday, November 23, 2021, 6:00 PM PT (US Pacific Timezone)

Webinar available on YouTube (click on image):

 

 

ABSTRACT: 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.

This event is sponsored by: the IEEE SCV Section Corporate Liaison Program, IEEE SCV Computer Society Chapter, and IEEE Industry Engagement.

This talk is part of our series of presentations by industry experts at the IEEE Santa Clara Valley Section Corporate Liaison Program (CLP). If you have ideas for future speakers, please email the SCV CLP Chair.