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James Ang 0001

James A. Ang – James Alfred Ang

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affiliation: Pacific Northwest National Laboratory (PNNL), Richland, WA, USA

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2020 – today

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2025
[c12]
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James Alfred Ang, Antonino Tumeo, Nicolas Bohm Agostini, Ankur Limaye:
The U.S. Microelectronics Research Programs and Where They Lower Barriers to Co-Design. Invited Paper. CF (Companion) 2025: 135-139
2024
[j5]
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James Ang, Gabriella Carini, Yanzhu Chen, Isaac L. Chuang, Michael DeMarco, Sophia E. Economou, Alec Eickbusch, Andrei Faraon, Kai-Mei Fu, Steven M. Girvin, Michael Hatridge, Andrew A. Houck, Paul Hilaire, Kevin Krsulich, Ang Li, Chenxu Liu, Yuan Liu, Margaret Martonosi, David C. McKay, Jim Misewich, Mark B. Ritter, Robert J. Schoelkopf, Samuel A. Stein, Sara Sussman, Hong Tang, Wei Tang, Teague Tomesh, Norm M. Tubman, Chen Wang, Nathan Wiebe, Yongxin Yao, Dillon Yost, Yiyu Zhou:
ARQUIN: Architectures for Multinode Superconducting Quantum Computers. ACM Trans. Quantum Comput. 5(3): 19:1-19:59 (2024)
[c11]
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James A. Ang:
Democratization of Computing Innovation via a CHIPS-enabled Renaissance in Co-design. CF (Companion) 2024
2023
[j4]
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James A. Ang, Kevin J. Barker, Draguna L. Vrabie, Gokcen Kestor:
Codesign for Extreme Heterogeneity: Integrating Custom Hardware With Commodity Computing Technology to Support Next-Generation HPC Converged Workloads. IEEE Internet Comput. 27(1): 7-14 (2023)
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Ang Li, Samuel A. Stein, Sriram Krishnamoorthy, James Ang:
QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation. ACM Trans. Quantum Comput. 4(2): 10:1-10:26 (2023)
[c10]
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Samuel A. Stein, Nathan Wiebe, Yufei Ding, James Ang, Ang Li:
Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum. ISCA 2023: 8:1-8:13
[c9]
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Samuel A. Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Fred Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco:
HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems. MICRO 2023: 539-554
[i3]
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  - journals/corr/abs-2304-03748
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Maruti K. Mudunuru, James A. Ang, Mahantesh Halappanavar, Simon D. Hammond, Maya B. Gokhale, James C. Hoe, Tushar Krishna, Sarat Sreepathi, Matthew R. Norman, Ivy Bo Peng, Philip W. Jones:
Perspectives on AI Architectures and Co-design for Earth System Predictability. CoRR abs/2304.03748 (2023)
[i2]
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Samuel A. Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Frederic T. Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco:
Microarchitectures for Heterogeneous Superconducting Quantum Computers. CoRR abs/2305.03243 (2023)
2022
[j2]
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James A. Ang, David J. Mountain:
New Horizons for High-Performance Computing. Computer 55(12): 156-162 (2022)
[c8]
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Samuel A. Stein, Ying Mao, James Ang, Ang Li:
QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation. SEC 2022: 368-374
[c7]
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Samuel Alexander Stein, Nathan Wiebe, James Ang, Ang Li:
Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles. IPDPS Workshops 2022: 616-617
[c6]
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Samuel A. Stein, Nathan Wiebe, James Ang, Ang Li:
Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite. IPDPS Workshops 2022: 618-624
[c5]
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Samuel A. Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker, James Ang, Ang Li:
EQC: ensembled quantum computing for variational quantum algorithms. ISCA 2022: 59-71
[i1]
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  - journals/corr/abs-2210-05443
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Samuel A. Stein, Ying Mao, James Ang, Ang Li:
QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation. CoRR abs/2210.05443 (2022)
2021
[j1]
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Francis J. Alexander, James Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon:
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021)

2010 – 2019

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2015
[c4]
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James A. Ang:
High Performance Computing Co-Design Strategies. MEMSYS 2015: 51-52
2014
[c3]
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James A. Ang, Richard F. Barrett, R. E. Benner, D. Burke, C. Chan, Jeanine E. Cook, David Donofrio, Simon D. Hammond, Karl S. Hemmert, Suzanne M. Kelly, H. Le, Vitus J. Leung, David R. Resnick, Arun F. Rodrigues, John Shalf, Dylan T. Stark, Didem Unat, Nicholas J. Wright:
Abstract machine models and proxy architectures for exascale computing. Co-HPC@SC 2014: 25-32
2010
[c2]
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James Ang, Ron Brightwell, David Donofrio, Sudip S. Dosanjh, K. Scott Hemmert, Arun Rodrigues, John Shalf, Kyle B. Wheeler:
Exascale Computing and the Role of Co-Design. High Performance Computing Workshop 2010: 43-64

2000 – 2009

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2004
[c1]
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Stephen D. Kleban, J. R. Johnston, James A. Ang, Scott H. Clearwater:
With great reliability comes great responsibility: tradeoffs of run-time policy on high reliability systems. CCGRID 2004: 547-554

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