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Ramesh Balakrishnan
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2020 – today
- 2024
- [i5]Shivam Barwey, Pinaki Pal, Saumil Patel, Riccardo Balin, Bethany Lusch, Venkatram Vishwanath, Romit Maulik, Ramesh Balakrishnan:
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks. CoRR abs/2409.07769 (2024) - [i4]Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath:
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling. CoRR abs/2410.01657 (2024) - 2023
- [j2]Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan:
Differentiable physics-enabled closure modeling for Burgers' turbulence. Mach. Learn. Sci. Technol. 4(1): 15017 (2023) - 2022
- [i3]Geng Liu, Saumil Patel, Ramesh Balakrishnan, Taehun Lee:
IMEXLBM 1.0: A Proxy Application based on the Lattice Boltzmann Method for solving Computational Fluid Dynamic problems on GPUs. CoRR abs/2201.11330 (2022) - [i2]Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan:
Differentiable physics-enabled closure modeling for Burgers' turbulence. CoRR abs/2209.11614 (2022) - [i1]Youngdae Kim, Debojyoti Ghosh, Emil M. Constantinescu, Ramesh Balakrishnan:
GPU-Accelerated WENO Schemes for DNS of Compressible Turbulent Flows. CoRR abs/2211.16718 (2022)
2000 – 2009
- 2006
- [j1]Dennis C. Smolarski, Ramesh Balakrishnan, Eduardo F. D'Azevedo, John W. Fettig, O. E. Bronson Messer, Anthony Mezzacappa, Faisal Saied, Paul E. Saylor, F. Douglas Swesty:
On the performance of SPAI and ADI-like preconditioners for core collapse supernova simulations in one spatial dimension. Comput. Phys. Commun. 175(5): 330-338 (2006) - 2002
- [c1]J. J. Garcia-Luna-Aceves, Saravanan Balasubramaniyan, Ramesh Balakrishnan:
A Scalable and fault-Tolerant Architecture for Internet Multicasting Using Meshes. Networked Group Communication 2002: 87-94
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last updated on 2024-11-11 21:32 CET by the dblp team
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