Hari Sundar

Assistant Professor
University of Utah


PhD (2009), Bioengineering, University of Pennsylvania
Postdoc (2011-2014), The University of Texas at Austin

DiaMonD Research

Scalable Parallel Algorithms, Large-scale Multigrid Methods, Adaptive Mesh Refinement

DiaMonD Collaborations

Alexanderian (NC State), Biros (UT Austin), Bui-Thanh (UT Austin), Ghattas (UT Austin), Stadler(NYU)


Hari Sundar is an Assistant Professor in the School of Computing at the University of Utah. His research focuses on the development of computationally optimal parallel, high-performance algorithms, that are efficient and scalable on state-of-the-art architectures. It is driven by applications in biosciences and geophysics, such as cardiovascular mechanics, medical image analysis, and seismic wave propagation. His research has resulted in the development of state-of-the-art distributed algorithms for adaptive mesh refinement, geometric multigrid, fast Gauss transform and sorting.