With great reliability comes great responsibility: tradeoffs of run-time policy on high reliability systems. - Stephen D. Kleban; J. R. Johnston; James A. Ang; Scott H. Clearwater (CCGRID, 2004)

Exascale Computing and the Role of Co-Design. - James Ang 001; Ron Brightwell; David Donofrio; Sudip S. Dosanjh; K. Scott Hemmert; Arun Rodrigues; John Shalf; Kyle B. Wheeler (High Performance Computing Workshop, 2010)

Abstract machine models and proxy architectures for exascale computing. - 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; et al. (Co-HPC@SC, 2014)

High Performance Computing Co-Design Strategies. - James A. Ang (MEMSYS, 2015)

Co-design Center for Exascale Machine Learning Technologies (ExaLearn). - Francis J. Alexander; James Ang 001; Jenna A. Bilbrey; Jan Balewski; Tiernan Casey; Ryan Chard; Jong Choi 001; Sutanay Choudhury; Bert J. Debusschere; Anthony M. DeGennaro; Nikoli Dryden; J. Austin Ellis; et al. (Int. J. High Perform. Comput. Appl., 2021)

QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation. - Samuel A. Stein; Ying Mao 001; James Ang 001; Ang Li 006 (SEC, 2022)

Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles. - Samuel Alexander Stein; Nathan Wiebe; James Ang 001; Ang Li 006 (IPDPS Workshops, 2022)

Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite. - Samuel A. Stein; Nathan Wiebe; James Ang 001; Ang Li 006 (IPDPS Workshops, 2022)

EQC: ensembled quantum computing for variational quantum algorithms. - Samuel A. Stein; Nathan Wiebe; Yufei Ding 001; Bo Peng 024; Karol Kowalski; Nathan A. Baker; James Ang 001; Ang Li 006 (ISCA, 2022)

New Horizons for High-Performance Computing. - James A. Ang; David J. Mountain (Computer, 2022)

Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum. - Samuel A. Stein; Nathan Wiebe; Yufei Ding 001; James Ang 001; Ang Li 006 (ISCA, 2023)

HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems. - Samuel A. Stein; Sara Sussman; Teague Tomesh; Charles Guinn; Esin Tureci; Sophia Fuhui Lin; Wei Tang; James Ang 001; Srivatsan Chakram; Ang Li 006; Margaret Martonosi; Fred Chong; et al. (MICRO, 2023)

Perspectives on AI Architectures and Co-design for Earth System Predictability. - 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 (CoRR, 2023)

Microarchitectures for Heterogeneous Superconducting Quantum Computers. - Samuel A. Stein; Sara Sussman; Teague Tomesh; Charles Guinn; Esin Tureci; Sophia Fuhui Lin; Wei Tang; James Ang 001; Srivatsan Chakram; Ang Li 006; Margaret Martonosi; Frederic T. Chong; et al. (CoRR, 2023)

Codesign for Extreme Heterogeneity: Integrating Custom Hardware With Commodity Computing Technology to Support Next-Generation HPC Converged Workloads. - James A. Ang; Kevin J. Barker; Draguna L. Vrabie; Gokcen Kestor (IEEE Internet Comput., 2023)

QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation. - Ang Li 006; Samuel A. Stein; Sriram Krishnamoorthy; James Ang 001 (ACM Trans. Quantum Comput., 2023)

Democratization of Computing Innovation via a CHIPS-enabled Renaissance in Co-design. - James A. Ang (CF (Companion), 2024)

ARQUIN: Architectures for Multinode Superconducting Quantum Computers. - James Ang 001; 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; et al. (ACM Trans. Quantum Comput., 2024)

The U.S. Microelectronics Research Programs and Where They Lower Barriers to Co-Design. Invited Paper. - James Alfred Ang; Antonino Tumeo; Nicolas Bohm Agostini; Ankur Limaye (CF (Companion), 2025)