email: hari at cs dot utah dot edu
office: 3454 MEB
phone: (801) 585 9913
The central focus of my research is the development of computationally optimal parallel, high-performance algorithms, both discrete and continuous, that are efficient and scalable on state-of-the-art architectures. It is driven by applications in biosciences, computational relativity and geophysics, such as cardiovascular mechanics, binary black-hole mergers, and seismic wave propagation. My research has resulted in the development of state-of-the-art distributed algorithms for adaptive mesh refinement, geometric multigrid, fast Gauss transform and sorting.
Janan Lake, Chao, Q., Hannah Eyre, Emerson Ford, Kevin Parker, Kincaid Savoie, Hari Sundar, Mary Hall. Student Cluster Competition 2017, Team University of Utah: Reproducing Vectorization of the Tersoff Multi-Body Potential on the Intel Broadwell and Intel Skylake Platforms. Parallel computing. 79, Nov. 2018.
Maxx Carlson - PhD
Weerahannadige Milinda Shyamala Fernando - PhD
Eric Heisler - PhD
Masado Ishii - PhD
Bobby King - BS
Liam Moynihan - MS
Seyed Majid Rasouli-Pichahi - PhD
Han Duc Tran - PhD
Sharvaree Vadgama - MS
Bryant Baird - MS 2017 - Adobe
Christopher Mertin - MS 2017 - IBM
Vishal Sharma (with G. Gopalakrishnan) - PhD 2016 - Microsoft
I am interested in taking on new students (undergrad, masters & PhD). If you are interested in working on the kind of problems that interest me, feel free to email me.