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RSVP required for in-person attendance. Submit by 9 am on the day of.
RSVP required for in-person attendance. Submit by 9 am on the day of.
October 30
October 30
In-person only
In-person only
Speaker
Owen Randall, PhD candidate at the University of Alberta, supervised by Dr. Martin Müller
Title
Astrus: AlphaGo-Inspired Search and Learning for Physics-Aware Chip Design
Abstract
AMS (analog mixed-signal) layout is the art of arranging transistors and wires for a chip’s most performance-critical parts. Every placement and routing decision can profoundly impact performance, which is why engineers spend weeks hand-tuning transistor placement and routing, through intuition and painstaking trial and error to meet performance requirements in circuit simulation. Although AMS circuits occupy only a small fraction of a sophisticated chip like a GPU, they can account for a disproportionate share of the manual design effort and cost.
Like AlphaGo, we use search as the engine for discovering novel configurations. A physics-based evaluation engine measures the physical properties of each layout, allowing us to trade off among many competing design objectives. Predictive neural network models approximate complex routing and computationally expensive evaluation to accelerate search, while generative models distill the results to guide future exploration. Together, these techniques allow us to discover layouts that satisfy stringent physical constraints and satisfy user-specified performance objectives.
Bio
Owen Randall is a current PhD candidate at the University of Alberta and former CMPUT 455 instructor, supervised by AMII fellow Martin Müller. His research is primarily concerned with search algorithms and combinatorial optimization. He is doing research at Astrus, a Toronto based startup using AI and search to automate and optimize analog chip layouts.
Website
Timing & Location IN-PERSON ONLY
UComm Seminar Room 2-108
pizza from 11:30, seminar from noon to 1 MDT
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November 6
November 6
Monthly Amii Fellow Seminar
Monthly Amii Fellow Seminar
Speaker
Dr. Lazar Atanackovic, Amii Fellow and Assistant Professor in the Department of Electrical and Computer Engineering at the University of Alberta
Title
TBA
Abstract
TBA
Bio
TBA
Website
Timing & Location
Amii HQ, 2nd floor event space (10065 Jasper Ave)
pizza from 11:30, seminar from noon to 1 MDT
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TBA
November 13
November 13
Speaker
Esraa Elelimy, PhD student in the Department of Computing Science at the University of Alberta, supervised by Dr. Martha White
Title
TBA
Abstract
TBA
Bio
Esraa is a PhD student at the RLAI lab advised by Martha White. Her main research interests lie primarily in online reinforcement learning, real-time recurrent learning, and continual learning.
Timing & Location
UComm Seminar Room 2-108
pizza from 11:30, seminar from noon to 1 MDT
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Add event
November 20
November 20
Speaker
Jiamin He, PhD student in the Department of Computing Science at the University of Alberta, supervised by Dr. Martha White
Title
TBA
Abstract
TBA
Bio
Jiamin He is a Ph.D. student in Computing Science at the University of Alberta, supervised by Martha White. Previously, he received his M.Sc. in Computing Science from the University of Alberta under the supervision of Rupam Mahmood, and has spent time at Google DeepMind and Tsinghua University. His research interests lie in reinforcement learning, with a focus on off-policy learning, policy optimization, and representation learning.
Website
Timing & Location
UComm Seminar Room 2-108
pizza from 11:30, seminar from noon to 1 MDT
Add event to calendar
November 27
November 27
Speaker
TBA
December 4
December 4
Speaker
TBA
December 11
December 11
Speaker
TBA
December 18
December 18
Speaker
TBA
December 25 & January 1
December 25 & January 1
NO SEMINARS - Winter Closure
Now scheduling fall term seminars - stay tuned!
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