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Friday, February 3, 2023 – 12:00PM to 1:00PM
Dr. Abhishek Bhattacharjee
The NSF AI Institute for Edge Computing (Athena) presents the next in our seminar series by Dr. Abhishek Bhattacharjee of Yale University, titled "Computer Architectures for Mind-Machine Teaming" on Friday, February 3, 2023, from 12-1pm EST via Zoom.
Direct brain-computer communication promises to treat neurological disorders, explain brain function, and augment all aspects of human cognition and decision-making. Delivering on the promise of this form of mind-machine teaming requires the design of computer systems that delicately balance the tight power, latency, and bandwidth trade-offs needed to decode brain activity, stimulate biological neurons, and control assistive devices most effectively.
This talk presents the design of two systems that unlock several brain-computer interactions while navigating the power and performance trade-offs posed by brain interfacing. The first system, HALO, is an accelerator-rich processing fabric that enables flexible single-brain-site interfacing at high data rates using only tens of milliwatts of power. The second system, Hull, realizes multi-brain-site interfacing using a distributed system of networked accelerator-rich processing fabrics built atop HALO. Driven by important brain-computer interface applications (e.g., epilepsy, movement disorders, paralysis), we explore systems research questions pertaining to the design and integration of hardware accelerators, co-design of hardware accelerators with networking & storage stacks, and clean interfaces/abstractions for programmability. Key insights are undergirded via two chip tape-outs, the second in a 12nm CMOS process.