Akshay Subramaniam

13 papers A* 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation.
J. Mach. Learn. Res.
Sungduk Yu, Zeyuan Hu, Akshay Subramaniam, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius J. M. Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Helge Heuer, Benjamin R. Hillman, Andrea M. Jenney, Nana Liu, Alistair White, Tian Zheng, Zhiming Kuang, Fiaz Ahmed, Elizabeth A. Barnes, Noah D. Brenowitz, Christopher S. Bretherton, Veronika Eyring, Savannah L. Ferretti, Nicholas J. Lutsko, Pierre Gentine, Stephan Mandt, J. David Neelin, Rose Yu, Laure Zanna, Nathan M. Urban, Janni Yuval, Ryan Abernathey, Pierre Baldi, Wayne Chuang, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Po-Lun Ma, Sara Shamekh, Guang Zhang, Michael S. Pritchard
2025 J jnl
cuHPX: GPU-Accelerated Differentiable Spherical Harmonic Transforms on HEALPix Grids.
CoRR
Xiaopo Cheng, Akshay Subramaniam, Shixun Wu, Noah D. Brenowitz
2024 J jnl
A robust compact finite difference framework for simulations of compressible turbulent flows.
J. Comput. Phys.
Hang Song, Aditya S. Ghate, Kristen V. Matsuno, Jacob R. West, Akshay Subramaniam, Sanjiva K. Lele
2023 A* conf
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation.
NeurIPS
Sungduk Yu, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard
2023 J jnl
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
CoRR
Sungduk Yu, Walter M. Hannah, Liran Peng, Mohamed Aziz Bhouri, Ritwik Gupta, Jerry Lin, Björn Lütjens, Justus C. Will, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Anima Anandkumar, Noah D. Brenowitz, Veronika Eyring, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Carl Vondrick, Rose Yu, Laure Zanna, Ryan P. Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Gunnar Behrens, Christopher S. Bretherton, Julius J. M. Busecke, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Akshay Subramaniam, Mark A. Taylor, et al.
2022 J jnl
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting.
CoRR
Tao Ge, Jaideep Pathak, Akshay Subramaniam, Karthik Kashinath
2022 J jnl
Scalable parallel linear solver for compact banded systems on heterogeneous architectures.
J. Comput. Phys.
Hang Song, Kristen V. Matsuno, Jacob R. West, Akshay Subramaniam, Aditya S. Ghate, Sanjiva K. Lele
2021 — conf
NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework.
ICCS (5)
Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Zhiwei Fang, Max Rietmann, Wonmin Byeon, Sanjay Choudhry
2020 J jnl
ContainerStress: Autonomous Cloud-Node Scoping Framework for Big-Data ML Use Cases.
CoRR
Guang Chao Wang, Kenny Gross, Akshay Subramaniam
2020 J jnl
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework.
CoRR
Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Max Rietmann, José del Águila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry
2020 J jnl
Turbulence Enrichment using Physics-informed Generative Adversarial Networks.
CoRR
Akshay Subramaniam, Man Long Wong, Raunak D. Borker, Sravya Nimmagadda, Sanjiva K. Lele
2019 J jnl
A high-order weighted compact high resolution scheme with boundary closures for compressible turbulent flows with shocks.
J. Comput. Phys.
Akshay Subramaniam, Man Long Wong, Sanjiva K. Lele
2018 J jnl
A unified high-order Eulerian method for continuum simulations of fluid flow and of elastic-plastic deformations in solids.
J. Comput. Phys.
Niranjan S. Ghaisas, Akshay Subramaniam, Sanjiva K. Lele