Santi S. Adavani

Low-constant parallel algorithms for finite element simulations using linear octrees

Christos Davatzikos, Hari Sundar, George Biros, 2007, Proceedings of the 2007 ACM/IEEE Conference on Supercomputing (SC '07).

Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints

George Biros, Santi S. Adavani, G. Biros, 2008, SIAM J. Sci. Comput..

Fast Algorithms for Source Identification Problems with Elliptic PDE Constraints

George Biros, Santi S. Adavani, G. Biros, 2010, SIAM J. Imaging Sci..

Dendro: parallel algorithms for multigrid and AMR methods on 2:1 balanced octrees

Hari Sundar, George Biros, Ilya Lashuk, 2008, HiPC 2008.

Dendro: Parallel algorithms for multigrid and AMR methods on 2:1 balanced octrees

Hari Sundar, George Biros, Ilya Lashuk, 2008, 2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis.

Deep learning software accelerators for full-waveform inversion

Santi S. Adavani, Souvik J. Mukherjee, Sergio Botelho, 2022, Second International Meeting for Applied Geoscience & Energy.

Multigrid Distributed Deep CNNs for Structural Topology Optimization

Santi S. Adavani, S. Sarkar, B. Ganapathysubramanian, 2021 .

Nivolumab and ipilimumab are associated with distinct immune landscape changes and response-associated immunophenotypes.

David M. Woods, Santi S. Adavani, P. Chattopadhyay, 2020, JCI insight.

Dendro: Parallel algorithms for multigrid and AMR methods on 2:1 balanced octrees

Santi S. Adavani, H. Sundar, I. Lashuk, 2008, 2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis.

Distributed Multigrid Neural Solvers on Megavoxel Domains

Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde, 2021, SC21: International Conference for High Performance Computing, Networking, Storage and Analysis.

Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models pdf

Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde, 2020, 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S).