Professor Yale Patt, University of Texas in Austin, is famous for his seminal contributions in computer architecture to exploit instruction level parallelism.
Overview
The event has passed
- Date:Starts 1 June 2023, 13:00Ends 1 June 2023, 14:00
- Location:EA, EDIT-building, Campus Johanneberg
- Language:English
To put things into perspectives, key to high computational performance of computers is how they can quickly get the work done by executing computer instructions fast.
Yale and his research team developed in the 80s key concepts to make this happen such as branch prediction, out of order execution and speculative execution.
These inventions were taken up by computer industry quickly and are still key elements for the high speed by which computers get their job done.
Abstract
While I still maintain a full plate of research in classical microarchitecture
(branch prediction, memory latency, etc.) and a full plate of teaching (which
includes the freshman intro course, the senior course and my specialty
graduate course, I also spend time reflecting on other issues in computing.
In this talk I will share some of my thoughts and perhaps stir up some
welcomed discussion): my heretical view of Quantum, why I am down on Machine
Learning, the difference between Research and Scholarship, and why I think
engineering professionals have been missing the boat, the correct first course
in computing for all engineering students, particularly but not limited to ECE
students, and if there is still time, what I think the microprocessor of 2033
will look like.
Bio
Professor Yale Patt has received numerous prestigious awards based on his many contributions over the years such as the ACM/IEEE Eckert Mauchly Award, the IEEE Charles Babbage Award and the Benjamin Franklin Medal among others. He is a member of the National Academy of Engineering. It should be also mentioned that he is an excellent teacher and has received many teaching awards.
