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Hai Ah Nam
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2020 – today
- 2024
- [j8]Nan Ding
, Pieter Maris, Hai Ah Nam, Taylor L. Groves
Evaluating the potential of disaggregated memory systems for HPC applications. Concurr. Comput. Pract. Exp. 36(19) (2024) - [j7]Lois Curfman McInnes
A Cast of Thousands: How the IDEAS Productivity Project Has Advanced Software Productivity and Sustainability. Comput. Sci. Eng. 26(1): 48-60 (2024) - [c8]Ermal Rrapaj, Sridutt Bhalachandra, Zhengji Zhao, Brian Austin, Hai Ah Nam, Nicholas J. Wright:
Power Consumption Trends in Supercomputers: A Study of NERSC's Cori and Perlmutter Machines. ISC 2024: 1-10 - 2023
- [c7]Zhengji Zhao
Power Analysis of NERSC Production Workloads. SC Workshops 2023: 1279-1287 - [c6]Anish Govind
Comparing Power Signatures of HPC Workloads: Machine Learning vs Simulation. SC Workshops 2023: 1890-1893 - [i3]Nan Ding, Pieter Maris, Hai Ah Nam, Taylor L. Groves, Muaaz Gul Awan, LeAnn Lindsey
Evaluating the Potential of Disaggregated Memory Systems for HPC applications. CoRR abs/2306.04014 (2023) - [i2]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:
A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability. CoRR abs/2311.02010 (2023) - 2022
- [j6]Jeffrey C. Carver
Special Issue on the Future of Research Software Engineers in the United States - Part I. Comput. Sci. Eng. 24(5): 4-5 (2022) - [j5]Jeffrey C. Carver
Special Issue on the Future of Research Software Engineers in the United States - Part II. Comput. Sci. Eng. 24(6): 4-5 (2022) - [c5]Taylor L. Groves, Christopher S. Daley, Rahulkumar Gayatri, Hai Ah Nam, Nan Ding, Lenny Oliker, Nicholas J. Wright, Samuel Williams
A Methodology for Evaluating Tightly-integrated and Disaggregated Accelerated Architectures. PMBS@SC 2022: 71-81 - 2021
- [c4]Khaled Z. Ibrahim, Tan Nguyen, Hai Ah Nam, Wahid Bhimji
Architectural Requirements for Deep Learning Workloads in HPC Environments. PMBS 2021: 7-17 - 2020
- [c3]Nasir U. Eisty
Testing Research Software: A Case Study. ICCS (7) 2020: 457-463 - [i1]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:
Automated discovery of a robust interatomic potential for aluminum. CoRR abs/2003.04934 (2020)
2010 – 2019
- 2019
- [j4]Hai Ah Nam, Elsa Gonsiorowski, Scott Michael
Special Issue on the SC'18 Student Cluster Competition Reproducibility Initiative. Parallel Comput. 90 (2019) - 2017
- [j3]Hai Ah Nam
The Trinity Center of Excellence Co-Design Best Practices. Comput. Sci. Eng. 19(5): 19-26 (2017) - 2015
- [c2]Stephen Lien Harrell
Student cluster competition: a multi-disciplinary undergraduate HPC educational tool. EduHPC@SC 2015: 4:1-4:8 - 2013
- [j2]Scott Bogner
Computational nuclear quantum many-body problem: The UNEDF project. Comput. Phys. Commun. 184(10): 2235-2250 (2013) - [c1]Hai Ah Nam, Jason Hill, Suzanne Parete-Koon
The practical obstacles of data transfer: why researchers still love scp. NDM@SC 2013: 7:1-7:8 - 2012
- [j1]David J. Duke, Hamish A. Carr, Aaron Knoll, Nicolas Schunck
Visualizing Nuclear Scission through a Multifield Extension of Topological Analysis. IEEE Trans. Vis. Comput. Graph. 18(12): 2033-2040 (2012)
Coauthor Index
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