Charith Mendis

I lead the ADAPT lab at UIUC. Our current work is focused on two main fronts.

• Automated compiler construction using machine learning and formal reasoning techniques targeting both commodity hardware and domain specific accelerators as well as diverse workloads.
• High-performance compilation and program optimization techniques for machine learning and data science workloads.

Office: 4118, Siebel Center for Computer Science
201 N. Goodwin Ave., Urbana IL 61801
Email: charithm (at) illinois.edu

Bio

Charith Mendis is an Assistant Professor in the Siebel School of Computing and Data Science at the University of Illinois at Urbana-Champaign. His broad research interests are at the intersection of compilers, program optimization and machine learning. He received his Ph.D. and Master’s from the Massachusetts Institute of Technology and his B.Sc. from the University of Moratuwa. He recently co-led the DARPA ISAT study on “ML Optimized Compilers for Heterogeneous Architectures (MOCHA).” He is the recipient of a DARPA Young Faculty Award, an NSF CAREER Award, the William A. Martin outstanding master’s thesis award at MIT and the university gold medal for his B.Sc. He has won numerous paper awards including a Distinguished Paper Award at POPL, a Best Student Paper Award at the IEEE BigData conference, an honorable mention for the Best Artifact Award at SIGMOD, a Best Paper Award at ML for Systems workshop at ISCA and an IEEE Top Picks Honorable Mention.

New! Check out our new course on CS521: ML and compilers

Research Opportunities

ADAPT lab has opportunities for undergraduate and graduate students. If you are a student who is passionate about building high performance ML optimization or compilation techniques or is passionate about automated compiler construction techniques using either machine learning or formal methods, please be in touch with me.