Dr. Udit Gupta of Meta AI Research

Computing’s carbon footprint is a growing challenge as we see increased growth in computing at the edge and in the datacenter. Sustainable computing provides new research challenges that go beyond simply energy efficiency, as researchers need to account for the embodied carbon of manufacturing devices, the runtime operational emissions of these devices, and the interplay of both with renewable energy sources. This talk will highlight recent results and research challenges that we face as we seek to evolve towards carbon-optimized computing systems. 

Biography:

Udit Gupta is an incoming Assistant Professor at Cornell Tech starting summer 2023. Currently he is a visiting researcher at Meta AI Research. His research interests focus on enabling next-generation and responsible AI platforms by designing novel computer systems and hardware. His recent work focuses on the optimization of data center-scale deep learning-based personalized recommendation engines and enabling sustainable computing by considering the environmental impact of end-to-end hardware life cycles. Udit’s work has been evaluated at-scale in production data centers and incorporated into standardized benchmarks and infrastructure used by the research community. His research has been recognized as an IEEE MICRO Top Picks honorable mention in 2020 and received an IEEE MICRO Top Picks award in 2021, as well as nominated for best paper at PACT 2019 and DAC 2018. He is also the co-chair of the Computer Architecture Student Association.