Scholar
Udit Gupta
Google Scholar ID: LIPcHGQAAAAJ
Assistant Professor
Citations & Impact
Citations
5,529
H-index
24
i10-index
32
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Work has been featured in venues such as Bloomberg Green, The Guardian, and CNBC. Awarded IEEE MICRO Top Picks (2022 and 2023) and IEEE MICRO Top Picks Honorable Mention (2021), as well as Best Paper Nominations at PACT 2019 and DAC 2018. Dissertation received SIGARCH Outstanding Ph.D. Dissertation Honorable Mention in 2023 and MICRO Outstanding Ph.D. Dissertation Honorable Mention in 2023.
Research Experience
- Led the characterization of industry-scale neural personalized recommendation models, outlining paths for future AI hardware design and academic research into specialized systems for AI. Based on key insights, built open-source system benchmarks and tools that have been standardized as part of community efforts such as MLPerf. Developed specialized hardware/software systems by co-designing solutions across the computing stack to enable high-performance, efficient, and scalable AI at scale; these solutions have been evaluated in real-world industry scenarios, saving significant AI cycle and infrastructure resources.
Education
- Ph.D. in Computer Science from Harvard University and BSc in Electrical and Computer Engineering from Cornell University.
Background
- Research interests lie at the intersection of computer architecture, systems, machine learning, and environmental sustainability. The central theme to his research is co-designing solutions across the computing stack (applications, algorithms, systems and architecture, circuits and devices) to design and implement computer systems and hardware in new ways to improve the performance, efficiency, and environmental sustainability of emerging applications.
Miscellany
- Actively looking for motivated, ambitious, and passionate graduate students, postdoctoral scholars, and undergraduates.
Co-authors