Email: laxman [at] umd.edu
- Ph.D., Carnegie Mellon University, 2020
high-performance parallel algorithms (theory and practice), models of computation for emerging hardware, scalable static/dynamic/streaming graph algorithms
My current research interests are on efficient parallel graph algorithms and parallel clustering. I am especially interested in designing efficient algorithms and systems for maintaining and analyzing graphs or pointsets that change over time.
I am always looking to work with students interested in efficient parallel algorithms. Please send me an e-mail if you are interested in working with me.
Honors and Awards
Best Paper Award at SPAA'22
Distinguished Paper Award at PLDI'19
Best Paper Award at SPAA'18