Paradoxically, processors today are both a key enabler of and a painful obstacle to the widespread use of AI applications. Despite big recent advances in machine learning (ML) processors, many people creating ML algorithms and applications still need much better processors to make their ideas practical, affordable and scalable. What will it take to bring processors to the next level, so that ML-based solutions can be deployed widely?
Uniquely qualified to answer these questions is our keynote speaker, Turing Award winner David Patterson. Dave will share his perspective on the past, present, and future of processor design, highlighting key challenges, lessons learned, and the emergence of machine learning as a key driver of processor innovation.
Using lessons learned from an earlier revolution in processor architecture, the RISC revolution, Dave will explain why today, the most promising direction in processor design is domain-specific architectures (DSAs) — processors that are optimized for specific types of workloads. To illustrate the concepts and advantages of DSAs, Patterson will examine Google’s Tensor Processing Unit (TPU), one of the earliest DSAs to be widely deployed for machine learning applications.
David Patterson is a UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair. He received his BA, MS and PhD degrees from UCLA. His Reduced Instruction Set Computer (RISC), Redundant Array of Inexpensive Disks (RAID) and Network of Workstation projects helped lead to multibillion-dollar industries. This work led to about 40 awards for research, teaching and service plus many papers and seven books. The best known book is Computer Architecture: A Quantitative Approach and the newest is The RISC-V Reader: An Open Architecture Atlas. He and his co-author John Hennessy shared the 2017 ACM A.M Turing Award.
Interested in this speaker? Then you’ll almost certainly want to register for the Embedded Vision Summit. The Summit is your gateway to a world of information on practical computer vision. Hear from over hundred speakers, connect with 1400 product and application developers, business leaders, investors and customers—all focused on embedded vision. You will walk away with actionable insights and know-how that you can use to bring visual intelligence into your products today.
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