Due to increased concerns over the COVID-19 virus this seminar has been postponed until the fall 2020.
About the speaker
Dally develops efficient hardware for demanding information processing
problems and sustainable energy systems. His current projects include
domain-specific accelerators for deep learning, bioinformatics, and SAT
solving; redesigning memory systems for the data center; developing
efficient methods for video perception; and developing efficient
sustainable energy systems. His research involves demonstrating novel
concepts with working systems. Previous systems include the MARS
Hardware Accelerator, the Torus Routing Chip, the J-Machine, M-Machine,
the Reliable Router, the Imagine signal and image processor, the
Merrimac supercomputer, and the ELM embedded processor. His work on
stream processing led to GPU computing. His group has pioneered
techniques including fast capability-based addressing, processor
coupling, virtual channel flow control, wormhole routing, link-level
retry, message-driven processing, deadlock-free routing, pruning neural
networks, and quantizing neural networks.
Bio from: https://profiles.stanford.edu/william-dally
About Chalmers AI Talks
A seminar series with inspiring talks from internationally acclaimed experts on artificial intelligence.
Come listen to world-renowned leaders in computer science, machine
learning and statistics discuss on a wide range of perspectives on how
AI will affect research, business and society.
This seminar series is an initiative of the Chalmers AI Research Centre (CHAIR).
Lecture Hall Palmstedt, university building, Chalmersplatsen 2, Campus Johanneberg
20 May, 2020, 13:00
20 May, 2020, 14:00