Scaling AI with Chiplet-Based Systems
Technical Seminar by IEEE Solid-State Circuits Society Distinguished Lecturer, Dr. Tony Chan Carusone, with the following abstract:
In the rapidly evolving landscape of artificial intelligence, chiplets are emerging as a transformative technology, paving the way for the next generation of AI systems. Chiplets permit the integration of more processing power within a single package, and allow for new connectivity solutions so that thousands of AI accelerators can work as a cohesive unit. Optical connectivity, facilitated by chiplets, offers high-speed data transmission with lower power consumption, crucial for handling the massive data loads in AI applications. The emerging chiplet ecosystem, underwritten by high-performance die-to-die interfaces, is throwing open the doors of innovation and facilitating the next wave of AI scaling.
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- 2356 Main Mall
- Vancouver, British Columbia
- Canada V6T 1Z4
- Building: Macleod Building
- Room Number: 3038
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sudip@ece.ubc.ca
Speakers
Tony Chan Carusone of Alphawave Semi and University of Toronto
Scaling AI with Chiplet-Based Systems
Abstract: In the rapidly evolving landscape of artificial intelligence, chiplets are emerging as a transformative technology, paving the way for the next generation of AI systems. Chiplets permit the integration of more processing power within a single package, and allow for new connectivity solutions so that thousands of AI accelerators can work as a cohesive unit. Optical connectivity, facilitated by chiplets, offers high-speed data transmission with lower power consumption, crucial for handling the massive data loads in AI applications. The emerging chiplet ecosystem, underwritten by high-performance die-to-die interfaces, is throwing open the doors of innovation and facilitating the next wave of AI scaling.
Biography:
Dr. Tony Chan Carusone has taught and researched integrated circuits and systems for high-speed connectivity in industry and academia for over 20 years. He has been the Chief Technology Officer of Alphawave Semi since 2022 and a faculty member at the University of Toronto since completing his Ph.D. there in 2002. He has well over 100 publications, including 11 award-winning best papers at leading conferences for work on chip-to-chip and optical communication, analog-to-digital conversion, and precise clock generation. He also co-authored the latest editions of the classic textbooks “Analog Integrated Circuit Design” and “Microelectronic Circuits,” the best-selling engineering textbook ever. Tony has been a consultant to the semiconductor industry for over 20 years, working with both startups and some of the largest technology companies in the world. He is a Fellow of the IEEE.
Address:Toronto, Ontario, Canada