Bo Fang

66 papers A* 1A 17B 5C 7Misc 4Journal 19Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Asking Forever: Universal Activations Behind Turn Amplification in Conversational LLMs.
CoRR
Zachary Coalson, Bo Fang, Sanghyun Hong
2025 B conf
ATTNChecker: Highly-Optimized Fault Tolerant Attention for Large Language Model Training.
PPoPP
Yuhang Liang, Xinyi Li, Jie Ren, Ang Li, Bo Fang, Jieyang Chen
2025 A conf
BMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework.
ICS
Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Fengguang Song, Nathan R. Tallent, Dingwen Tao
2025 A conf
Be Aware of Metadata Corruption in Parallel File System: It can be Silent and Catastrophic.
IPDPS
Saisha Kamat, Mai Zheng, Bo Fang, Dong Dai
2025 A* conf
Can Large Language Models Understand Intermediate Representations in Compilers?
ICML
Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan
2025 J jnl
Can Large Language Models Understand Intermediate Representations?
CoRR
Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan
2025 A conf
Demystifying the Resilience of Large Language Model Inference: An End-to-End Perspective.
SC
Yu Sun, Zachary Coalson, Shiyang Chen, Hang Liu, Zhao Zhang, Sanghyun Hong, Bo Fang, Lishan Yang
2025 A conf
FT2: First-Token-Inspired Online Fault Tolerance on Critical Layers for Generative Large Language Models.
HPDC
Yu Sun, Zhu Zhu, Cherish Mulpuru, Roberto Gioiosa, Zhao Zhang, Bo Fang, Lishan Yang
2025 — conf
Hardware-Software Co-Development for Emerging CXL Architectures.
MEMSYS
Roberto Gioiosa, Bo Fang, Lenny Guo, Andres Marquez
2025 J jnl
QDockBank: A Dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers.
CoRR
Yuqi Zhang, Yuxin Yang, Cheng-Chang Lu, Weiwen Jiang, Feixiong Cheng, Bo Fang, Qiang Guan
2025 A conf
QDockBank: A dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers.
SC
Yuqi Zhang, Yuxin Yang, Cheng-Chang Lu, Weiwen Jiang, Feixiong Cheng, Bo Fang, Qiang Guan
2025 C conf
UQ-VarQA: Benchmarking and Characterizing NISQ Computers Through Uncertainty Quantification of Variational Quantum Algorithms.
ICCD
Priyabrata Senapati, Shengye Zhu, Bo Peng, Bo Fang, Qiang Guan
2025 J jnl
Understanding the Landscape of Ampere GPU Memory Errors.
CoRR
Zhu Zhu, Yu Sun, Dhatri Parakal, Bo Fang, Steven Farrell, Gregory H. Bauer, Brett M. Bode, Ian T. Foster, Michael E. Papka, William Gropp, Zhao Zhang, Lishan Yang
2024 B conf
Discovery of Floating-Point Differences Between NVIDIA and AMD GPUs.
CCGrid
Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan
2024 B conf
FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators.
CCGrid
Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan
2024 J jnl
FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators.
CoRR
Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan
2024 J jnl
Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security.
CoRR
Nathan R. Tallent, Jan Strube, Luanzheng Guo, Hyungro Lee, Jesun Firoz, Sayan Ghosh, Bo Fang, Oceane Bel, Steven R. Spurgeon, Sarah Akers, Christina Doty, Erol Cromwell
2024 B conf
HAppA: A Modular Platform for HPC Application Resilience Analysis with LLMs Embedded.
SRDS
Hailong Jiang, Jianfeng Zhu, Bo Fang, Kevin J. Barker, Chao Chen, Ruoming Jin, Qiang Guan
2024 — conf
Investigating Resilience of Loops in HPC Programs: A Semantic Approach with LLMs.
HPEC
Hailong Jiang, Jianfeng Zhu, Bo Fang, Chao Chen, Qiang Guan
2024 J jnl
Light-Weight Fault Tolerant Attention for Large Language Model Training.
CoRR
Yuhang Liang, Xinyi Li, Jie Ren, Ang Li, Bo Fang, Jieyang Chen
2024 — conf
Message from the DSML Workshop Chairs; DSN-W 2024.
DSN-W
Sanghyun Hong, Bo Fang
2024 J jnl
Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework.
CoRR
Boyuan Zhang, Bo Fang, Fanjiang Ye, Yida Gu, Nathan R. Tallent, Guangming Tan, Dingwen Tao
2024 Misc conf
PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications.
QCE
Priyabrata Senapati, Samuel Yen-Chi Chen, Bo Fang, Tushar M. Athawale, Ang Li, Weiwen Jiang, Cheng Chang Lu, Qiang Guan
2024 J jnl
PrisonBreak: Jailbreaking Large Language Models with Fewer Than Twenty-Five Targeted Bit-flips.
CoRR
Zachary Coalson, Jeonghyun Woo, Shiyang Chen, Yu Sun, Lishan Yang, Prashant J. Nair, Bo Fang, Sanghyun Hong
2024 — conf
Red-QAOA: Efficient Variational Optimization through Circuit Reduction.
ASPLOS (2)
Meng Wang, Bo Fang, Ang Li, Prashant J. Nair
2024 J jnl
TANQ-Sim: Tensorcore Accelerated Noisy Quantum System Simulation via QIR on Perlmutter HPC.
CoRR
Ang Li, Chenxu Liu, Samuel A. Stein, In-Saeng Suh, Muqing Zheng, Meng Wang, Yue Shi, Bo Fang, Martin Roetteler, Travis S. Humble
2024 C conf
Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience.
CLUSTER
Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li
2024 — conf
Understanding and Predicting Cross-Application I/O Interference in HPC Storage Systems.
SC Workshops
Chris Egersdoerfer, Md. Hasanur Rashid, Dong Dai, Bo Fang, Nathan R. Tallent
2023 A conf
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
SC
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao
2023 J jnl
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James P. Ahrens, Dingwen Tao
2023 A conf
Design and Evaluation of GPU-FPX: A Low-Overhead tool for Floating-Point Exception Detection in NVIDIA GPUs.
HPDC
Xinyi Li, Ignacio Laguna, Bo Fang, Katarzyna Swirydowicz, Ang Li, Ganesh Gopalakrishnan
2023 J jnl
Fault Injection for TensorFlow Applications.
IEEE Trans. Dependable Secur. Comput.
Niranjhana Narayanan, Zitao Chen, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
2023 — conf
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation.
SC Workshops
Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao
2023 J jnl
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation.
CoRR
Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao
2023 J jnl
MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications.
CoRR
Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li
2023 Misc conf
Towards Redefining the Reproducibility in Quantum Computing: A Data Analysis Approach on NISQ Devices.
QCE
Priyabrata Senapati, Zhepeng Wang, Weiwen Jiang, Travis S. Humble, Bo Fang, Shuai Xu, Qiang Guan
2023 C conf
Visilience: An Interactive Visualization Framework for Resilience Analysis using Control-Flow Graph.
PRDC
Hailong Jiang, Shaolun Ruan, Bo Fang, Yong Wang, Qiang Guan
2022 A conf
ASAP: automatic synthesis of area-efficient and precision-aware CGRAs.
ICS
Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li
2022 C conf
Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning.
CLUSTER
Bo Fang, M. Yusuf Özkaya, Ang Li, Ümit V. Çatalyürek, Sriram Krishnamoorthy
2022 J jnl
Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning.
CoRR
Bo Fang, M. Yusuf Özkaya, Ang Li, Ümit V. Çatalyürek, Sriram Krishnamoorthy
2022 J jnl
Improving the Accuracy of IR-Level Fault Injection.
IEEE Trans. Dependable Secur. Comput.
Lucas Palazzi, Guanpeng Li, Bo Fang, Karthik Pattabiraman
2022 C conf
MARS: Malleable Actor-Critic Reinforcement Learning Scheduler.
IPCCC
Betis Baheri, Jacob Tronge, Bo Fang, Ang Li, Vipin Chaudhary, Qiang Guan
2022 Misc conf
Pinpointing the System Reliability Degradation in NISQ Machines.
QCE
Betis Baheri, Zixuan Xu, Vipin Chaudhary, Ying Mao, Bo Fang, Shuai Xu, Qiang Guan
2022 — conf
Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications.
FTXS@SC
Bo Fang, Siva Kumar Sastry Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin J. Barker, Ang Li
2021 C conf
A Hybrid System for Learning Classical Data in Quantum States.
IPCCC
Samuel A. Stein, Ryan L'Abbate, Wenrui Mu, Yue Liu, Betis Baheri, Ying Mao, Qiang Guan, Ang Li, Bo Fang
2021 C conf
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
CLUSTER
Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao
2021 J jnl
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
CoRR
Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao
2021 Misc conf
QuGAN: A Quantum State Fidelity based Generative Adversarial Network.
QCE
Samuel A. Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu
2021 A conf
SV-sim: scalable PGAS-based state vector simulation of quantum circuits.
SC
Ang Li, Bo Fang, Christopher E. Granade, Guen Prawiroatmodjo, Bettina Heim, Martin Roetteler, Sriram Krishnamoorthy
2021 — conf
TQEA: Temporal Quantum Error Analysis.
DSN (Supplements)
Betis Baheri, Daniel Chen, Bo Fang, Samuel A. Stein, Vipin Chaudhary, Ying Mao, Shuai Xu, Ang Li, Qiang Guan
2020 — conf
CQNN: a CGRA-based QNN Framework.
HPEC
Tong Geng, Chunshu Wu, Cheng Tan, Bo Fang, Ang Li, Martin C. Herbordt
2020 A conf
Chaser: An Enhanced Fault Injection Tool for Tracing Soft Errors in MPI Applications.
DSN
Qiang Guan, Xunchao Hu, Terence Grove, Bo Fang, Hailong Jiang, Heng Yin, Nathan DeBardeleben
2020 A conf
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications.
ISSRE
Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
2020 J jnl
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications.
CoRR
Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
2019 A conf
A Tale of Two Injectors: End-to-End Comparison of IR-Level and Assembly-Level Fault Injection.
ISSRE
Lucas Palazzi, Guanpeng Li, Bo Fang, Karthik Pattabiraman
2019 A conf
BonVoision: leveraging spatial data smoothness for recovery from memory soft errors.
ICS
Bo Fang, Hassan Halawa, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy
2019 — conf
Towards Predicting the Impact of Roll-Forward Failure Recovery for HPC Applications.
DSN (Supplements)
Bo Fang, Jieyang Chen, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy
2017 A conf
LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures.
HPDC
Bo Fang, Qiang Guan, Nathan DeBardeleben, Karthik Pattabiraman, Matei Ripeanu
2016 J jnl
A Systematic Methodology for Evaluating the Error Resilience of GPGPU Applications.
IEEE Trans. Parallel Distributed Syst.
Bo Fang, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi
2016 — conf
SDC is in the Eye of the Beholder: A Survey and Preliminary Study.
DSN Workshops
Bo Fang, Panruo Wu, Qiang Guan, Nathan DeBardeleben, Laura Monroe, Sean Blanchard, Zhizong Chen, Karthik Pattabiraman, Matei Ripeanu
2016 A conf
ePVF: An Enhanced Program Vulnerability Factor Methodology for Cross-Layer Resilience Analysis.
DSN
Bo Fang, Qining Lu, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi
2014 A conf
Evaluating the Error Resilience of Parallel Programs.
DSN
Bo Fang, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi
2014 A conf
GPGPUs: How to combine high computational power with high reliability.
DATE
Leonardo Arturo Bautista-Gomez, Franck Cappello, Luigi Carro, Nathan DeBardeleben, Bo Fang, Sudhanva Gurumurthi, Karthik Pattabiraman, Paolo Rech, Matteo Sonza Reorda
2014 B conf
GPU-Qin: A methodology for evaluating the error resilience of GPGPU applications.
ISPASS
Bo Fang, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi
2012 — conf
Abstract: Evaluating Error Resiliency of GPGPU Applications.
SC Companion
Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu
2012 — conf
Poster: Evaluating Error Resiliency of GPGPU Applications.
SC Companion
Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu