Skip to Main Content U.S. Department of Energy
Fundamental and Computational Sciences Directorate

Staff information

Bo Fang

HPC Team A
Computer Scientist

PNNL Publications

2023

  • Baheri B., V. Chaudhary, A. Li, S. Xu, B. Fang, and Q. Guan. 2023. "Quantum Noise Mitigation: Introducing the Robust Quantum Circuit Scheduler for Enhanced Fidelity and Throughput." In Proceedings of the 2023 International Workshop on Quantum Classical Cooperative (QCCC 2023), June 20, 2023, Orlando, FL, 21-24. New York, New York:Association for Computing Machinery. PNNL-SA-189165. doi:10.1145/3588983.3596688
  • Li X., I. Laguna, B. Fang, K. Swirydowicz, A. Li, and G. Gopalakrishnan. 2023. "Design and Evaluation of GPU-FPX: A Low-Overhead tool for Floating-Point Exception Detection in NVIDIA GPUs." In Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2023), June 16-23, 2023, Orlando, FL, 59-71. New York, New York:Association for Computing Machinery. PNNL-SA-171816. doi:10.1145/3588195.3592991
  • Wang M., B. Fang, A. Li, and P. Nair. 2023. "Efficient QAOA Optimization using Directed Restarts and Graph Lookup." In QCCC '23: Proceedings of the 2023 International Workshop on Quantum Classical Cooperative (QCCC 2023), June 20, 2023, Orlando, FL, 5-8. New York, New York:Association for Computing Machinery. PNNL-SA-189163. doi:10.1145/3588983.3596680
  • Zhang B., B. Fang, Q. Guan, A. Li, and D. Tao. 2023. "HQ-Sim: High-performance State Vector Simulation of Quantum Circuits on Heterogeneous HPC Systems." In Proceedings of the 2023 International Workshop on Quantum Classical Cooperative (QCCC 2023), June 20, 2023, Orlando, FL, 1-4. New York, New York:Association for Computing Machinery. PNNL-SA-189164. doi:10.1145/3588983.3596679

2022

  • Baheri B., J. Tronge, B. Fang, A. Li, V. Chaudhary, and Q. Guan. 2022. "MARS: Malleable Actor-Critic Reinforcement Learning Scheduler." In Prceedings of the 41st International Performance Computing and Communications Conference (IPCCC 2022), November 11-13, 2022, Austin, TX, 217-226. Piscataway, New Jersey:IEEE. PNNL-SA-170367. doi:10.1109/IPCCC55026.2022.9894315
  • Fang B., S. Hari, T. Tsai, X. Li, G. Gopalakrishnan, I. Laguna, and K.J. Barker, et al. 2022. "Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications." In IEEE/ACM 12th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS 2022), November 13-18, 2022, Dallas, TX, 47-52. Piscataway, New Jersey:IEEE. PNNL-SA-177005. doi:10.1109/FTXS56515.2022.00010
  • Fang B., Y. Ozkaya, A. Li, U. Catalyurek, and S. Krishnamoorthy. 2022. "Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning." In IEEE International Conference on Cluster Computing (CLUSTER 2022), September 5-8, 2022, Heidelberg, Germany, 289-300. Piscataway, New Jersey:IEEE. PNNL-SA-170183. doi:10.1109/CLUSTER51413.2022.00041
  • Narayanan N., Z. Chen, B. Fang, G. Li, K. Pattabiram, and N.A. Debardeleben. 2022. "Fault Injection for TensorFlow Applications." IEEE Transactions on Dependable and Secure Computing 20, no. 4:2677 - 2695. PNNL-SA-161122. doi:10.1109/TDSC.2022.3175930
  • Tan C., T. Tambe, J. Zhang, B. Fang, T. Geng, G. Wei, and D. Brooks, et al. 2022. "ASAP: Automatic Synthesis of Area-Efficient and Precision-Aware CGRAs." In Proceedings of the 36th ACM International Conference on Supercomputing (ICS 2022), June 28-30, 2022, Virtual, Online, Paper No. 4. New York, New York:Association for Computing Machinery. PNNL-SA-172791. doi:10.1145/3524059.3532359

2021

  • Baheri B., D. Chen, B. Fang, S.A. Stein, V. Chaudhary, Y. Mao, and S. Xu, et al. 2021. "TQEA: Temporal Quantum Error Analysis." In 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S 2021), June 21-24, 2021, Taipei, Taiwan, 65-67. Piscataway, New Jersey:IEEE. PNNL-SA-159972. doi:10.1109/DSN-S52858.2021.00034
  • Fang B., D. Wang, S. Jin, Q. Koziol, Z. Zhang, Q. Guan, and S. Byna, et al. 2021. "Characterizing Impacts of Storage Faults on HPC Applications: A methodology and insights." In IEEE International Conference on Cluster Computing (CLUSTER 2021), September 7-10, 2021, Portland, OR, 409-420. Los Alamitos, California:IEEE Computer Society. PNNL-SA-162815. doi:10.1109/Cluster48925.2021.00048
  • Li A., B. Fang, C.E. Granade, G. Prawiroatmodjo, B. Heim, M. Roetteler, and S. Krishnamoorthy. 2021. "SV-Sim: Scalable PGAS-based State Vector Simulation of Quantum Circuits." In Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2021), November 14-19, 2021, Virtual, Online, Art. No. 97. New York, New York:Association for Computing Machinery. PNNL-SA-161181. doi:10.1145/3458817.3476169
  • Stein S.A., B. Baheri, D. Chen, Y. Mao, Q. Guan, A. Li, and B. Fang, et al. 2021. "QuGAN: A Quantum State Fidelity based Generative Adversarial Network." In IEEE International Conference on Quantum Computing and Engineering (QCE 2021), October 17-22, 2021, Broomfield, CO,, edited by H.A. Müller, et al, 71-81. Piscataway, New Jersey:IEEE. PNNL-SA-156090. doi:10.1109/QCE52317.2021.00023
  • Stein S.A., R. L'Abbate, W. Mu, Y. Liu, B. Baheri, Y. Mao, and Q. Guan, et al. 2021. "A Hybrid System for Learning Classical Data in Quantum States." In IEEE International Performance Computing and Communications Conference (IPCCC 2021), October 29-31, 2021, Austin, TX, 1-7. Piscataway, New Jersey:IEEE. PNNL-SA-165589. doi:10.1109/IPCCC51483.2021.9679430

2020

  • Geng T., C. Wu, C. Tan, B. Fang, A. Li, and M. Herbordt. 2020. "CQNN: a CGRA-based QNN Framework." In IEEE High Performance Extreme Computing Conference (HPEC 2020), September 22-24, 2020, Waltham, MA, 1-7. Piscataway, New Jersey:IEEE. PNNL-SA-153940. doi:10.1109/HPEC43674.2020.9286194

2019

  • Fang B., H. Halawa, K. Pattabiram, M. Ripeanu, and S. Krishnamoorthy. 2019. "BonVoision: Leveraging Spatial Data Smoothness For Recovery From Memory Soft Errors." In Proceedings of the ACM International Conference on Supercomputing (ICS 2019), June 26-28, 2019, Phoenix, AZ, 484-496. New York, New York:ACM. PNNL-SA-143140. doi:10.1145/3330345.3330388

Science at PNNL

Core Research Areas

User Facilities

Centers & Institutes

Research Highlights

View All Research Highlights & Staff Accomplishments

RSS Feed

Contacts