12:00pm • May 03, 2024 • Open Forum
Abstract: Neural interfaces will help treat brain disorders, augment the healthy brain, and shed light on how the brain as an organ gives rise to the mind. Delivering on this promise 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 my group's work on building an accelerator-rich flexible programming fabric for brain interfacing. Our design supports neural decoding pipelines for treatment of several neurological disorders and experimental neuroscience. Central to our design is end-to-end hardware acceleration, from the microarchitectural to the distributed system level.
Abhishek Bhattacharjee is a Professor of Computer Science at Yale University, and is also affiliated with Yale's Wu Tsai Institute for the Brain Sciences as well as Yale's Center for Brain & Mind Health. He is interested in the hardware/software interface. Abhishek's research on address translation has influenced the design of the address translation stack in AMD and NVIDIA machines and has been integrated in Linux. For these contributions, Abhishek was the recipient of the 2023 ACM SIGARCH Maurice Wilkes Award. Abhishek teaches courses on computer architecture, operating systems, and compilers. In recognition of his teaching and mentoring of undergraduate and graduate students, Abhishek was the recipient of the 2022 Yale Engineering Ackerman Award.