Hari Sundar

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Hari Sundar

Associate Professor
Kahlert School of Computing
University of Utah

email:  hari at cs dot utah dot edu
office:  2692 WEB
phone: (801) 585 6673


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.


Recent & Upcoming Talks

  1. Scalable Space-time adaptivity for Simulations of Binary Black Hole Intermediate-Mass-Ratio-Inspirals, Sep 16 2020, Advances and Challenges in Computational Relativity, ICERM, Brown University.
  2. Scalable Space-Time Adaptivity for Simulations of Binary Black Hole Intermediate-Mass-Ratio-Inspirals, SIAM PP'20 Feb 13, 2020.
  3. 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.
  4. A Scalable Framework for Adaptive Computational General Relativity on Heterogeneous Clusters, Apr 25, 2019. Oden Institute, University of Texas at Austin, Austin, TX.
  5. Scalability & Adaptivity: Achieving Conflicting Goals in a Heterogeneous Computing Era, Apr 09, 2019. Mechanical Engineering, Iowa State University, Ames, IA.
  6. dendro-GR: Enabling Adaptivity & Parallelism for Computational Relativity, Computational Challenges in Gravitational Wave Astronomy, Feb 1, 2019. IPAM, UCLA, Los Angeles, CA
  7. 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. Milinda Fernando, Hari Sundar, Scalable Local Timestepping on Octree Grids, to appear SIAM Journal on Scientific Computing.

  2. Kumar Saurabh, Masado Ishii, Milinda Fernando, Boshun Gao, Kendrick Tan, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian, Scalable adaptive PDE solvers in arbitrary domains, Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC21).

  3. Kumar Saurabh, Boshun Gao, Milinda Fernando, Songzhe Xu, Makrand A Khanwale, Biswajit Khara, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian, Industrial scale Large Eddy Simulations with adaptive octree meshes using immersogeometric analysis Computers & Mathematics with Applications, Vol 97, Sep 2021.

  4. Max Carlson, Xiaoning Zheng, Hari Sundar, George Em Karniadakis, Robert M Kirby, An open-source parallel code for computing the spectral fractional Laplacian on 3D complex geometry domains Computer Physics Communications, Vol 261, Apr 2021.

  5. Songzhe Xu, Boshun Gao, Alec Lofquist, Milinda Fernando, Ming-Chen Hsu, Hari Sundar, Baskar Ganapathysubramanian, An octree-based immersogeometric approach for modeling inertial migration of particles in channels Computers & Fluids, Vol 214, Jan 2021.

  6. Makrand A Khanwale, Alec D Lofquist, Hari Sundar, James A Rossmanith, Baskar Ganapathysubramanian, Simulating two-phase flows with thermodynamically consistent energy stable Cahn-Hilliard Navier-Stokes equations on parallel adaptive octree based meshes Journal of Computational Physics Vol 419 Oct 2020.

  7. Majid Rasouli, Robert M Kirby, Hari Sundar, A Compressed, Divide and Conquer Algorithm for Scalable Distributed Matrix-Matrix Multiplication, The International Conference on High Performance Computing in Asia-Pacific Region, 2021.

  8. Max Carlson, Robert M Kirby, Hari Sundar, A scalable framework for solving fractional diffusion equations, Proceedings of the 34rd ACM on International Conference on Supercomputing (ICS20), 2020.



  1. Gaurav Dhir- PhD
  2. Eric Heisler - PhD
  3. David van Komen - PhD
  4. LeAnn Lindsey - PhD
  5. Masado Ishii - PhD
  6. Sina Rashetania - PhD
  7. Brayden Smith - PhD
  8. Han Duc Tran - PhD
  9. Aadesh Deshmukh - MS


  1. Maxx Carlson - PhD 2022 - Sandia National Laboratory
  2. Liam Moynihan - MS 2022 - Sandia National Laboratory
  3. Milinda Fernando - PhD 2021 - Oden Institute, UT Austin
  4. Seyed Majid Rasouli-Pichahi - PhD 2021 - Virgin Hyperloop
  5. Songzhe Xu - PostDoc - Faculty, Shanghai University
  6. Bryant Baird - MS 2017 - Adobe
  7. Christopher Mertin - MS 2017 - IBM
  8. 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.