Modeling and Simulation of Collective Algorithms on HPC Network Topologies using Structural Simulation Toolkit - Sai P. Chenna; Michael Steyer; Nalini Kumar; Maria Garzaran; Philippe Thierry (SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, November 17-22, 2024, 2024)

Impact of Varying BLAS Precision on DCMESH - Nariman Piroozan; S. John Pennycook; Taufeq Mohammed Razakh; Peter Caday; Nalini Kumar; Aiichiro Nakano (SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, November 17-22, 2024, 2024)

Artificial Intelligence for Scientific Discovery at High-Performance Computing Scales - Kin Long Kelvin Lee; Nalini Kumar (Computer, 2023)

Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit - Kin Long Kelvin Lee; Carmelo Gonzales; Matthew Spellings; Mikhail Galkin; Santiago Miret; Nalini Kumar (Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, SC-W 2023, Denver, CO, USA, November 12-17, 2023, 2023)

Enabling Performant Thermal Conductivity Modeling with DeePMD and LAMMPS on CPUs - Nariman Piroozan; Nalini Kumar (Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, SC-W 2023, Denver, CO, USA, November 12-17, 2023, 2023)

Enabling Multi-level Network Modeling in Structural Simulation Toolkit for Next-Generation HPC Network Design Space Exploration - Sai P. Chenna; Nalini Kumar; Leonardo Borges; Michael Steyer; Philippe Thierry; Maria Garzaran (High Performance Computing - ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21-25, 2023, Revised Selected Papers, 2023)

Physics-Informed Representation Learning for Emergent Organization in Complex Dynamical Systems - Adam Rupe; Karthik Kashinath; Nalini Kumar; James P. Crutchfield (CoRR, 2023)

DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems - Adam Rupe; Prabhat; James P. Crutchfield; Nalini Kumar; Vladislav Epifanov; Karthik Kashinath; Oleksandr Pavlyk; Frank Schlimbach; Mostofa Patwary; Sergey Maidanov; Victor W. Lee (2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, MLHPC@SC, Denver, CO, USA, November 18, 2019, 2019)

Using FPGAs to Accelerate HPC and Data Analytics on Intel-Based Systems - Thomas Steinke; Estela Suarez; Taisuke Boku; Nalini Kumar; David E. Martin (High Performance Computing - ISC High Performance 2019 International Workshops, Frankfurt, Germany, June 16-20, 2019, Revised Selected Papers, 2019)

Towards Unsupervised Segmentation of Extreme Weather Events - Adam Rupe; Karthik Kashinath; Nalini Kumar; Victor W. Lee; Prabhat; James P. Crutchfield (CoRR, 2019)

DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems - Adam Rupe; Nalini Kumar; Vladislav Epifanov; Karthik Kashinath; Oleksandr Pavlyk; Frank Schlimbach; Mostofa Patwary; Sergey Maidanov; Victor W. Lee; Prabhat; James P. Crutchfield (CoRR, 2019)

Scalable Behavioral Emulation of Extreme-Scale Systems Using Structural Simulation Toolkit - Ajay Ramaswamy; Nalini Kumar; Aravind Neelakantan; Herman Lam; Greg Stitt (Proceedings of the 47th International Conference on Parallel Processing, ICPP 2018, Eugene, OR, USA, August 13-16, 2018, 2018)

CosmoFlow: using deep learning to learn the universe at scale - 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; et al. (Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018, Dallas, TX, USA, November 11-16, 2018, 2018)

CosmoFlow: Using Deep Learning to Learn the Universe at Scale - 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; et al. (CoRR, 2018)

Multi-fidelity Surrogate Modeling for Application/Architecture Co-design - Yiming Zhang; Aravind Neelakantan; Nalini Kumar; Chanyoung Park; Raphael T. Haftka; Nam H. Kim; Herman Lam (High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation - 8th International Workshop, PMBS 2017, Denver, CO, USA, November 13, 2017, Proceedings, 2017)

Behavioral Emulation for Scalable Design-Space Exploration of Algorithms and Architectures - Nalini Kumar; Carlo Pascoe; Christopher Hajas; Herman Lam; Greg Stitt; Alan D. George (High Performance Computing - ISC High Performance 2016 International Workshops, ExaComm, E-MuCoCoS, HPC-IODC, IXPUG, IWOPH, P^3MA, VHPC, WOPSSS, Frankfurt, Germany, June 19-23, 2016, Revised Selected Papers, 2016)

CMT-bone: A Mini-App for Compressible Multiphase Turbulence Simulation Software - Nalini Kumar; Mrugesh Sringarpure; Tania Banerjee; Jason Hackl; S. Balachandar; Herman Lam; Alan D. George; Sanjay Ranka (2015 IEEE International Conference on Cluster Computing, CLUSTER 2015, Chicago, IL, USA, September 8-11, 2015, 2015)