Hari Sundar


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Hari Sundar

Associate Professor
School of Computing
University of Utah

email:  hari at cs dot utah dot edu
office:  3454 MEB
phone: (801) 585 9913


Research

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.

News

Recent & Upcoming Talks

  1. Scalable Space-Time Adaptivity for Simulations of Binary Black Hole Intermediate-Mass-Ratio-Inspirals, SIAM PP'20 Feb 13, 2020.
  2. Scalable Space-time adaptivity for Simulations of Binary Black Hole Intermediate-Mass-Ratio-Inspirals, Jun 5, 2019. Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, GA.
  3. A Scalable Framework for Adaptive Computational General Relativity on Heterogeneous Clusters, Apr 25, 2019. Oden Institute, University of Texas at Austin, Austin, TX.
  4. Scalability & Adaptivity: Achieving Conflicting Goals in a Heterogeneous Computing Era, Apr 09, 2019. Mechanical Engineering, Iowa State University, Ames, IA.
  5. dendro-GR: Enabling Adaptivity & Parallelism for Computational Relativity, Computational Challenges in Gravitational Wave Astronomy, Feb 1, 2019. IPAM, UCLA, Los Angeles, CA
  6. Parallel Fast Gauss Transform, SIAM PP'18, Mar 7, Waseda University, Tokyo, Japan.

Recent Papers

Here are some recent papers. Find a complete list here.

  1. Masado Ishii, Milinda Fernando, Kumar Saurabh, Biswajit Khara, Baskar Ganapathysubramanian, Hari Sundar, Solving PDEs in space-time: 4D tree-based adaptivity, mesh-free and matrix-free approaches Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC19)
  2. Milinda Fernando, David Neilsen, Eric Hirschmann, Hari Sundar, A scalable framework for Adaptive Computational General Relativity on Heterogeneous Clusters, Proceedings of the 33rd ACM on International Conference on Supercomputing (ICS19), 2019.
  3. Milinda Fernando, Davit Neilsen, Hyun Lim, Eric Hirschmann, Hari Sundar, Massively Parallel Simulations of Binary Black Hole Intermediate-Mass-Ratio Inspirals, SIAM Journal on Scientific Computing, 41(2), C97–C138. 2019
  4. 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.

Students

Current

  1. Maxx Carlson - PhD
  2. Weerahannadige Milinda Shyamala Fernando - PhD
  3. Eric Heisler - PhD
  4. Masado Ishii - PhD
  5. Bobby King - BS
  6. Liam Moynihan - MS
  7. Seyed Majid Rasouli-Pichahi - PhD
  8. Han Duc Tran - PhD
  9. Sharvaree Vadgama - MS

Alumni

  1. Bryant Baird - MS 2017 - Adobe
  2. Christopher Mertin - MS 2017 - IBM
  3. Vishal Sharma (with G. Gopalakrishnan) - PhD 2016 - Microsoft

Prospective Students

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.