BONUS LECTURE: How to Build a Processor for Machine Learning

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How to Build a Processor for Machine Learning
Tuesday, October 23, 2018 - 1:30pm to 2:30pm
Gates B12
Simon Knowles - Co-Founder & CTO - Graphcore
Abstract / Description: 

Compute, data, and algorithms have combined to power the recent huge strides in machine intelligence. But there is still plenty of scope for improvement, and hardware is finally coming to the fore. Machine intelligence is the future of computing, so what needs to happen at a hardware level to make it faster and more energy- and cost-efficient?

This talk will outline the key considerations in how to build an efficient processor for machine intelligence both for today’s state of the art networks and also to more rapidly and more flexibly support future innovations in algorithms and model structures.


Simon Knowles is co-founder & CTO of Graphcore.

Simon has a strong track record as both engineer and entrepreneur, having co-founded and exited two highly successful fabless semiconductor companies, Element14 and Icera, for a combined value of over $1billion. Before that he headed the microprocessor development group at ST Micro. He is well known as a leading microprocessor designer, responsible for ground-breaking designs at STMicro, Element14, and Icera. He holds an MA in Electrical Science from Cambridge University and is the author of 14 issued patents in advanced processors and computer arithmetic.