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James A. Ang
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2020 – today
- 2024
- [c11]James A. Ang
:
Democratization of Computing Innovation via a CHIPS-enabled Renaissance in Co-design. CF (Companion) 2024 - 2023
- [j3]James A. Ang
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) - [c10]Samuel Alexander Stein, Nathan Wiebe
Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum. ISCA 2023: 8:1-8:13 - [c9]Samuel Alexander Stein, Sara Sussman
HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems. MICRO 2023: 539-554 - [i3]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]Samuel Alexander Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James A. 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]James A. Ang
New Horizons for High-Performance Computing. Computer 55(12): 156-162 (2022) - [c8]Samuel Alexander Stein, Ying Mao, James A. Ang, Ang Li:
QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation. SEC 2022: 368-374 - [c7]Samuel Alexander Stein, Nathan Wiebe, James A. Ang, Ang Li:
Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles. IPDPS Workshops 2022: 616-617 - [c6]Samuel Alexander Stein, Nathan Wiebe, James A. Ang, Ang Li:
Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite. IPDPS Workshops 2022: 618-624 - [c5]Samuel Alexander Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker
EQC: ensembled quantum computing for variational quantum algorithms. ISCA 2022: 59-71 - [i1]Samuel Alexander Stein, Ying Mao, James A. Ang, Ang Li:
QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation. CoRR abs/2210.05443 (2022) - 2021
- [j1]Francis J. Alexander
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021)
2010 – 2019
- 2015
- [c4]James A. Ang:
High Performance Computing Co-Design Strategies. MEMSYS 2015: 51-52 - 2014
- [c3]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
Abstract machine models and proxy architectures for exascale computing. Co-HPC@SC 2014: 25-32 - 2010
- [c2]James A. Ang, Ron Brightwell, David Donofrio, Sudip S. Dosanjh, K. Scott Hemmert, Arun Rodrigues, John Shalf
Exascale Computing and the Role of Co-Design. High Performance Computing Workshop 2010: 43-64
2000 – 2009
- 2004
- [c1]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
Coauthor Index
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