My research interests are in the design of new compiler technologies for high-performance artificial intelligence (AI) systems. Computational domains of particular interest to me include AI, stencil computations, image processing pipelines, dense linear algebra, and deep learning. I was a founding team member of MLIR while on a sabbatical as a visiting researcher with the Google brain team in 2018-2019.
Before joining IISc, I was with the Advanced Compiler Technologies group at the IBM T.J. Watson Research Center, Yorktown Heights, New York. I obtained my Ph.D. in Computer Science and Engineering from the Ohio State University in 2008, and my Bachelors’ (also in Computer Science and Engineering) from the Indian Institute of Technology, Madras in 2004.
I am the primary author and maintainer of Pluto. Other tools from my group include PolyMage. A significant amount of my group’s current research is based on MLIR and the Polyhedral framework.
I am also the founder of PolyMage Labs, a deep technology startup incubated at the Indian Institute of Science since 2019.
More information on my research and publications can be found here. My research lab website can be found here.
PolyBlocks: A Compiler Infrastructure for AI Chips and Programming Frameworks
Uday Bondhugula, Akshay Baviskar, Navdeep Katel, Vimal Patel, Anoop JS, and Arnab Dutta.
arXiv:2603.06731, Mar 2026.
SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference
Ashwin Prasad, Sampath Rajendra, Kaushik Rajan, R Govindarajan, and Uday Bondhugula.
ACM Symposium on Operating Systems Principles (SOSP), 2024.
HIR: An MLIR-based Intermediate Representation for Hardware Accelerator Description
Kingshuk Majumder and Uday Bondhugula
ASPLOS 2023.
Mindtree Chair at the Department of CSA (2022-2024)
Qualcomm Faculty Research Award 2022
Honorable Mention – ACM India Early Career Research Award 2020
Cray APJ Abdul Kalam HPC award 2019 – HPC Systems
ACM SIGPLAN Distinguished Reviewer Award for PLDI 2017
Indian National Science Academy (INSA) Medal for Young Scientists 2017