Guanpeng Li

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 52

Top Topics

Lossy Compression

Error Propagation

Error Resilient

Top Venues

Publications

Pritam Dash, Guanpeng Li, Mehdi Karimibiuki, Karthik Pattabiraman
Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks. AsiaCCS (2024)
Md Hasanur Rahman, Sheng Di, Shengjian Guo, Xiaoyi Lu, Guanpeng Li, Franck Cappello
Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications. IPDPS (2024)
Md Hasanur Rahman, Sabuj Laskar, Guanpeng Li
Investigating the impact of transient hardware faults on deep learning neural network inference. Softw. Test. Verification Reliab. 34 (4) (2024)
Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR (2024)
Darren Ng, Andrew Lin, Arjun Kashyap, Guanpeng Li, Xiaoyi Lu
NVMe-oPF: Designing Efficient Priority Schemes for NVMe-over-Fabrics with Multi-Tenancy Support. IPDPS (2024)
Bohan Zhang, Lishan Yang, Guanpeng Li, Hui Xu
Investigating the Impact of High-Level Software Design on Low-Level Hardware Fault Resilience. DSN-S (2023)
Zhengyang He, Yafan Huang, Hui Xu, Dingwen Tao, Guanpeng Li
Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication. SC (2023)
Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello
cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. SC (2023)
Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Franck Cappello
Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression. CCGrid (2023)
Yafan Huang, Zhengyang He, Lingda Li, Guanpeng Li
Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions. ISSRE (2023)
Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello
cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR (2023)
Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello
A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets. ICDE (2023)
Niranjhana Narayanan, Zitao Chen, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
Fault Injection for TensorFlow Applications. IEEE Trans. Dependable Secur. Comput. 20 (4) (2023)
Sabuj Laskar, Md Hasanur Rahman, Bohan Zhang, Guanpeng Li
Characterizing Deep Learning Neural Network Failures Between Algorithmic Inaccuracy and Transient Hardware Faults. PRDC (2022)
Pritam Dash, Guanpeng Li, Mehdi Karimibiuki, Karthik Pattabiraman
Replay-based Recovery for Autonomous Robotic Vehicles from Sensor Deception Attacks. CoRR (2022)
Bohan Zhang, Yafan Huang, Rachael Chen, Guanpeng Li
D2MoN: Detecting and Mitigating Real-Time Safety Violations in Autonomous Driving Systems. ISSRE Workshops (2022)
Lucas Palazzi, Guanpeng Li, Bo Fang, Karthik Pattabiraman
Improving the Accuracy of IR-Level Fault Injection. IEEE Trans. Dependable Secur. Comput. 19 (1) (2022)
Raffaele Della Corte, Marta Catillo, João F. Ferreira, Guanpeng Li
Message from the RSDA 2022 Workshop Chairs. ISSRE Workshops (2022)
Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello
Hardening selective protection across multiple program inputs for HPC applications. PPoPP (2022)
Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello
Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. SC (2022)
Bohan Zhang, Yafan Huang, Guanpeng Li
Salus: A Novel Data-Driven Monitor that Enables Real-Time Safety in Autonomous Driving Systems. QRS (2022)
Sabuj Laskar, Md Hasanur Rahman, Guanpeng Li
TensorFI+: A Scalable Fault Injection Framework for Modern Deep Learning Neural Networks. ISSRE Workshops (2022)
Hui Xu, Guanpeng Li, Homa Alemzadeh, Rakesh Bobba, Varun Chandrasekaran, David E. Evans, Nicolas Papernot, Karthik Pattabiraman, Florian Tramèr
Fourth International Workshop on Dependable and Secure Machine Learning - DSML 2021. DSN Workshops (2021)
Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Song, Dingwen Tao
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. Proc. VLDB Endow. 15 (4) (2021)
Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, Karthik Pattabiraman
PID-Piper: Recovering Robotic Vehicles from Physical Attacks. DSN (2021)
Zitao Chen, Guanpeng Li, Karthik Pattabiraman
A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction. DSN (2021)
Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. CoRR (2021)
Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
A novel memory-efficient deep learning training framework via error-bounded lossy compression. PPoPP (2021)
Md Hasanur Rahman, Aabid Shamji, Shengjian Guo, Guanpeng Li
PEPPA-X: finding program test inputs to bound silent data corruption vulnerability in HPC applications. SC (2021)
Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael B. Sullivan, Timothy Tsai, Siva Kumar Sastry Hari
GPU-trident: efficient modeling of error propagation in GPU programs. SC (2020)
Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. CoRR (2020)
Weiyu Wang, Zhilei Huang, Biwei Pan, Huanlu Li, Guanpeng Li, Jian Tang, Yuchun Lu
Demonstration of 214Gbps Per Lane IM/DD PAM-4 Transmission using O-Band 35GHz-Class EML with Advanced MLSE and KP4-FEC. OFC (2020)
Zitao Chen, Guanpeng Li, Karthik Pattabiraman
Ranger: Boosting Error Resilience of Deep Neural Networks through Range Restriction. CoRR (2020)
Baodi Shan, Aabid Shamji, Jiannan Tian, Guanpeng Li, Dingwen Tao
LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs. CoRR (2020)
Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, Ravishankar K. Iyer
AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems. ISSRE (2020)
Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression. CoRR (2020)
Karthik Pattabiraman, Guanpeng Li, Zitao Chen
Error Resilient Machine Learning for Safety-Critical Systems: Position Paper. IOLTS (2020)
Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. ISSRE (2020)
Baodi Shan, Aabid Shamji, Jiannan Tian, Guanpeng Li, Dingwen Tao
LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs. IEEE BigData (2020)
Lucas Palazzi, Guanpeng Li, Bo Fang, Karthik Pattabiraman
A Tale of Two Injectors: End-to-End Comparison of IR-Level and Assembly-Level Fault Injection. ISSRE (2019)
Zitao Chen, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
: an efficient fault injector for safety-critical machine learning systems. SC (2019)
Chun-Kai Chang, Guanpeng Li, Mattan Erez
Evaluating Compiler IR-Level Selective Instruction Duplication with Realistic Hardware Errors. FTXS@SC (2019)
Guanpeng Li, Karthik Pattabiraman
Modeling Input-Dependent Error Propagation in Programs. DSN (2018)
Guanpeng Li, Karthik Pattabiraman, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai
Modeling Soft-Error Propagation in Programs. DSN (2018)
Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
TensorFI: A Configurable Fault Injector for TensorFlow Applications. ISSRE Workshops (2018)
Qining Lu, Guanpeng Li, Karthik Pattabiraman, Meeta Sharma Gupta, Jude A. Rivers
Configurable Detection of SDC-causing Errors in Programs. ACM Trans. Embed. Comput. Syst. 16 (3) (2017)
Guanpeng Li
Modeling Error Propagation in Programs. DSN Workshops (2017)
Guanpeng Li, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel S. Emer, Stephen W. Keckler
Understanding error propagation in deep learning neural network (DNN) accelerators and applications. SC (2017)
Frolin S. Ocariza Jr., Guanpeng Li, Karthik Pattabiraman, Ali Mesbah
Automatic fault localization for client-side JavaScript. Softw. Test. Verification Reliab. 26 (1) (2016)
Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, Pradip Bose
Understanding error propagation in GPGPU applications. SC (2016)
Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, Pradip Bose
Experience report: An application-specific checkpointing technique for minimizing checkpoint corruption. ISSRE (2015)
Guanpeng Li, Qining Lu, Karthik Pattabiraman
Fine-Grained Characterization of Faults Causing Long Latency Crashes in Programs. DSN (2015)
Jiesheng Wei, Anna Thomas, Guanpeng Li, Karthik Pattabiraman
Quantifying the Accuracy of High-Level Fault Injection Techniques for Hardware Faults. DSN (2014)