Riccardo Balin

According to our database, Riccardo Balin authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Multi-Agent Orchestration for High-Throughput Materials Screening on a Leadership-Class System.

Thang Duc Pham, Harikrishna Tummalapalli, Fakhrul Hasan Bhuiyan, Álvaro Vázquez-Mayagoitia, Christine M. Simpson, Riccardo Balin, Venkatram Vishwanath, Murat Keçeli

CoRR, April, 2026

2025

Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery.

Benjamin S. Allen, James L. Anchell, Victor Anisimov, Thomas Applencourt, Abhishek Bagusetty, Ramesh Balakrishnan, Riccardo Balin, Solomon Bekele, Colleen Bertoni, Cyrus Blackworth, Renzo Bustamante, Kevin Canada, John Carrier, Christopher Chan-nui, Lance C. Cheney, J. Taylor Childers, Paul K. Coffman, Susan Coghlan, Michael D'Mello, Murali Emani, Kyle Felker, Sam Foreman, Olivier Franza, Longfei Gao, Marta García, María Jesús Garzarán, Balazs Gerofi, Yasaman Ghadar, Neha Gupta, Kevin Harms, Väinö Hatanpää, Brian Holland, Carissa Holohan, Brian Homerding, Khalid Hossain, Louise Huot, Huda Ibeid, Joseph A. Insley, Sai Jayanthi, Hong Jiang, Wei Jiang, Xiao-Yong Jin, Jeongnim Kim, Christopher Knight, Kalyan Kumaran, JaeHyuk Kwack, Ti Leggett, Ben Lenard, Chris Lewis, Nevin Liber, Johann Lombardi, Raymond M. Loy, Ye Luo, Bethany Lusch, Nilakantan Mahadevan, Victor A. Mateevitsi, Gordon McPheeters, Ryan Milner, Vitali A. Morozov, Servesh Muralidharan, Tom Musta, Mrigendra Nagar, Vikram Narayana, Marieme Ngom, Anthony-Trung Nguyen, Nathan Nichols, Aditya Nishtala, James C. Osborn, Michael E. Papka, Scott Parker, Saumil Patel, Adrian C. Pope, Sucheta Raghunanda, Esteban Rangel, Paul M. Rich, Silvio Rizzi, Kris Rowe, Varuni Sastry, Adam Scovel, Filippo Simini, Haritha Siddabathuni Som, Patrick Steinbrecher, Rick Stevens, Xinmin Tian, Peter Upton, Thomas D. Uram, Archit Vasan, Álvaro Vázquez-Mayagoitia, Kaushik Velusamy, Brice Videau, Venkatram Vishwanath, Brian Whitney, Timothy J. Williams, Michael Woodacre, Sam Zeltner, Gengbin Zheng, Huihuo Zheng

CoRR, September, 2025

Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training.

Wesley Brewer, Muralikrishnan Gopalakrishnan Meena, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen M. de Bruyn Kops, P. K. Yeung, Daniel L. Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang

CoRR, August, 2025

In-Transit Data Transport Strategies for Coupled AI-Simulation Workflow Patterns.

Harikrishna Tummalapalli, Riccardo Balin, Christine M. Simpson, Andrew Park, Aymen Alsaadi, Andrew E. Shao, Wesley Brewer, Shantenu Jha

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training.

Wesley Brewer, Murali Meena Gopalakrishnan, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen de Bruyn Kops, P. K. Yeung, Daniel L. Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

AI and HPC Applications on Leadership Computing Platforms: Performance and Scalability Studies.

JaeHyuk Kwack, Colleen Bertoni, Umesh Unnikrishnan, Riccardo Balin, Khalid Hossain, Yasaman Ghadar, Timothy J. Williams, Abhishek Bagusetty, Mathialakan Thavappiragasam, Väinö Hatanpää, Archit Vasan, John R. Tramm, Scott Parker

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

2024

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.

Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Shaun De Witt, Ian T. Foster, Tom Gibbs, Carole A. Goble, William F. Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso-Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack D. Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A. Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent

CoRR, 2024

Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks.

Shivam Barwey, Pinaki Pal, Saumil Patel, Riccardo Balin, Bethany Lusch, Venkatram Vishwanath, Romit Maulik, Ramesh Balakrishnan

CoRR, 2024

Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling.

Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2023

In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD.

Riccardo Balin, Filippo Simini, Cooper Simpson, Andrew Shao, Alessandro Rigazzi, Matthew Ellis, Stephen Becker, Alireza Doostan, John A. Evans, Kenneth E. Jansen

CoRR, 2023

Demonstration of Portable Performance of Scientific Machine Learning on High Performance Computing Systems.

Khalid Hossain, Riccardo Balin, Corey Adams, Thomas D. Uram, Kalyan Kumaran, Venkatram Vishwanath, Tanima Dey, Subrata Goswami, Janghaeng Lee, Rebecca Ramer, Koichi Yamada

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

<i>S</i>-frame discrepancy correction models for data-informed Reynolds stress closure.

Eric L. Peters, Riccardo Balin, Kenneth E. Jansen, Alireza Doostan, John A. Evans

J. Comput. Phys., 2022

2021

In Situ Data-Driven Analysis and Learning of Turbulence Closures at Scale.

Riccardo Balin

Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021