Nalini Kumar

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 14

Top Topics

Simulation Software

Unsupervised Segmentation

Design Space Exploration

Top Venues

Publications

Nariman Piroozan, Nalini Kumar
Enabling Performant Thermal Conductivity Modeling with DeePMD and LAMMPS on CPUs. SC Workshops (2023)
Adam Rupe, Karthik Kashinath, Nalini Kumar, James P. Crutchfield
Physics-Informed Representation Learning for Emergent Organization in Complex Dynamical Systems. CoRR (2023)
Kin Long Kelvin Lee, Carmelo Gonzales, Matthew Spellings, Mikhail Galkin, Santiago Miret, Nalini Kumar
Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit. SC Workshops (2023)
Kin Long Kelvin Lee, Nalini Kumar
Artificial Intelligence for Scientific Discovery at High-Performance Computing Scales. Computer 56 (4) (2023)
Sai P. Chenna, Nalini Kumar, Leonardo Borges, Michael Steyer, Philippe Thierry, Maria Garzaran
Enabling Multi-level Network Modeling in Structural Simulation Toolkit for Next-Generation HPC Network Design Space Exploration. ISC Workshops (2023)
Adam Rupe, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor W. Lee, Prabhat, James P. Crutchfield
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems. CoRR (2019)
Adam Rupe, Karthik Kashinath, Nalini Kumar, Victor W. Lee, Prabhat, James P. Crutchfield
Towards Unsupervised Segmentation of Extreme Weather Events. CoRR (2019)
Adam Rupe, Prabhat, James P. Crutchfield, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor W. Lee
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems. MLHPC@SC (2019)
Thomas Steinke, Estela Suarez, Taisuke Boku, Nalini Kumar, David E. Martin
Using FPGAs to Accelerate HPC and Data Analytics on Intel-Based Systems. ISC Workshops (2019)
Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Karna, Diana Moise, Simon J. Pennycook, Kristyn J. Maschhoff, Jason Sewall, Nalini Kumar, Shirley Ho, Michael F. Ringenburg, Prabhat, Victor W. Lee
CosmoFlow: Using Deep Learning to Learn the Universe at Scale. CoRR (2018)
Ajay Ramaswamy, Nalini Kumar, Aravind Neelakantan, Herman Lam, Greg Stitt
Scalable Behavioral Emulation of Extreme-Scale Systems Using Structural Simulation Toolkit. ICPP (2018)
Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Kärnä, Diana Moise, Simon J. Pennycook, Kristyn J. Maschhoff, Jason Sewall, Nalini Kumar, Shirley Ho, Michael F. Ringenburg, Prabhat, Victor W. Lee
CosmoFlow: using deep learning to learn the universe at scale. SC (2018)
Yiming Zhang, Aravind Neelakantan, Nalini Kumar, Chanyoung Park, Raphael T. Haftka, Nam H. Kim, Herman Lam
Multi-fidelity Surrogate Modeling for Application/Architecture Co-design. PMBS@SC (2017)
Nalini Kumar, Carlo Pascoe, Christopher Hajas, Herman Lam, Greg Stitt, Alan D. George
Behavioral Emulation for Scalable Design-Space Exploration of Algorithms and Architectures. ISC Workshops (2016)
Nalini Kumar, Mrugesh Sringarpure, Tania Banerjee, Jason Hackl, S. Balachandar, Herman Lam, Alan D. George, Sanjay Ranka
CMT-bone: A Mini-App for Compressible Multiphase Turbulence Simulation Software. CLUSTER (2015)