Hai Ah Nam

According to our database, Hai Ah Nam authored at least 16 papers between 2012 and 2023.

Collaborative distances:

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

2023

A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability.

Lois Curfman McInnes, Michael A. Heroux, David E. Bernholdt, Anshu Dubey, Elsa Gonsiorowski, Rinku Gupta, Osni Marques, J. David Moulton, Hai Ah Nam, Boyana Norris, Elaine M. Raybourn, James M. Willenbring, Ann S. Almgren, Ross Bartlett, Kita Cranfill, Stephen Fickas, Don Frederick, William F. Godoy, Patricia Grubel, Rebecca Hartman-Baker, Axel Huebl, Rose Lynch, Addi Malviya-Thakur, Reed Milewicz, Mark C. Miller, Miranda Mundt, Erik Palmer, Suzanne Parete-Koon, Megan Phinney, Katherine Riley, David M. Rogers, Benjamin H. Sims, Deborah Stevens, Gregory R. Watson

CoRR, 2023

Evaluating the Potential of Disaggregated Memory Systems for HPC applications.

Nan Ding, Pieter Maris, Hai Ah Nam, Taylor L. Groves, Muaaz Gul Awan, LeAnn Lindsey, Christopher S. Daley, Oguz Selvitopi, Leonid Oliker, Nicholas J. Wright, Samuel Williams

CoRR, 2023

Power Analysis of NERSC Production Workloads.

Zhengji Zhao, Ermal Rrapaj, Sridutt Bhalachandra, Brian Austin, Hai Ah Nam, Nicholas J. Wright

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

Comparing Power Signatures of HPC Workloads: Machine Learning vs Simulation.

Anish Govind, Sridutt Bhalachandra, Zhengji Zhao, Ermal Rrapaj, Brian Austin, Hai Ah Nam

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

2022

Special Issue on the Future of Research Software Engineers in the United States - Part II.

Jeffrey C. Carver, Nasir U. Eisty, Hai Ah Nam, Irina Tezaur

Comput. Sci. Eng., 2022

Special Issue on the Future of Research Software Engineers in the United States - Part I.

Jeffrey C. Carver, Nasir U. Eisty, Hai Ah Nam, Irina Tezaur

Comput. Sci. Eng., 2022

A Methodology for Evaluating Tightly-integrated and Disaggregated Accelerated Architectures.

Taylor L. Groves, Christopher S. Daley, Rahulkumar Gayatri, Hai Ah Nam, Nan Ding, Lenny Oliker, Nicholas J. Wright, Samuel Williams

Proceedings of the IEEE/ACM International Workshop on Performance Modeling, 2022

2021

Architectural Requirements for Deep Learning Workloads in HPC Environments.

Khaled Z. Ibrahim, Tan Nguyen, Hai Ah Nam, Wahid Bhimji, Steven Farrell, Leonid Oliker, Michael Rowan, Nicholas J. Wright, Samuel Williams

Proceedings of the 2021 International Workshop on Performance Modeling, 2021

2020

Automated discovery of a robust interatomic potential for aluminum.

Justin S. Smith, Benjamin T. Nebgen, Nithin Mathew, Jie Chen, Nicholas Lubbers, Leonid Burakovsky, Sergei Tretiak, Hai Ah Nam, Timothy C. Germann, Saryu Fensin, Kipton Barros

CoRR, 2020

Testing Research Software: A Case Study.

Nasir U. Eisty, Danny Perez, Jeffrey C. Carver, J. David Moulton, Hai Ah Nam

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Special Issue on the SC'18 Student Cluster Competition Reproducibility Initiative.

Hai Ah Nam, Elsa Gonsiorowski, Scott Michael

Parallel Comput., 2019

2017

The Trinity Center of Excellence Co-Design Best Practices.

Hai Ah Nam, Gabriel Rockefeller, Mike Glass, Shawn Dawson, John M. Levesque, Victor Lee

Comput. Sci. Eng., 2017

2015

Student cluster competition: a multi-disciplinary undergraduate HPC educational tool.

Stephen Lien Harrell, Hai Ah Nam, Verónica G. Vergara Larrea, Kurt Keville, Dan Kamalic

Proceedings of the Workshop on Education for High-Performance Computing, 2015

2013

Computational nuclear quantum many-body problem: The UNEDF project.

Scott Bogner, Aurel Bulgac, Joseph A. Carlson, Jonathan Engel, George L. Fann, Richard J. Furnstahl, Stefano Gandolfi, Gaute Hagen, Mihai Horoi, Calvin W. Johnson, Markus Kortelainen, Ewing L. Lusk, Pieter Maris, Hai Ah Nam, Petr Navratil, Witold Nazarewicz, Esmond G. Ng, Gustavo P. A. Nobre, W. Erich Ormand, Thomas Papenbrock, Junchen Pei, Steven C. Pieper, Sofia Quaglioni, Kenneth J. Roche, Jason Sarich, Nicolas Schunck, Masha Sosonkina, Jun Terasaki, Ian J. Thompson, James P. Vary, Stefan M. Wild

Comput. Phys. Commun., 2013

The practical obstacles of data transfer: why researchers still love scp.

Hai Ah Nam, Jason Hill, Suzanne Parete-Koon

Proceedings of the Third International Workshop on Network-Aware Data Management, 2013

2012

Visualizing Nuclear Scission through a Multifield Extension of Topological Analysis.

David J. Duke, Hamish A. Carr, Aaron Knoll, Nicolas Schunck, Hai Ah Nam, Andrzej Staszczak

IEEE Trans. Vis. Comput. Graph., 2012