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2020 – today
- 2024
[j6]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)- [c44]Pritam Dash, Guanpeng Li, Mehdi Karimibiuki, Karthik Pattabiraman:
Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks. AsiaCCS 2024 - [c43]Zhengyang He, Hui Xu, Guanpeng Li:
A Fast Low-Level Error Detection Technique. DSN 2024: 90-98 - [c42]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: 519-531 - [c41]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: 582-594 - [c40]Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello:
cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. SC 2024: 13 - [c39]Yafan Huang, Sheng Di, Guanpeng Li, Franck Cappello:
cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio. SC 2024: 15 - [c38]Yafan Huang, Sheng Di, Zhaorui Zhang, Xiaoyi Lu, Guanpeng Li:
Versatile Datapath Soft Error Detection on the Cheap for HPC Applications. SC 2024: 55 - [c37]Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello:
SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data. SC Workshops 2024: 260-269 - [i10]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 abs/2404.02840 (2024) - [i9]Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello:
HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data. CoRR abs/2408.11971 (2024) - [i8]Yi Li, Zhichun Guo, Guanpeng Li, Bingzhe Li:
YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Training. CoRR abs/2411.05693 (2024) - 2023
- [j5]Niranjhana Narayanan, Zitao Chen, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben:
Fault Injection for TensorFlow Applications. IEEE Trans. Dependable Secur. Comput. 20(4): 2677-2695 (2023) - [c36]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: 651-661 - [c35]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: 163-167 - [c34]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: 1461-1474 - [c33]Yafan Huang, Zhengyang He, Lingda Li, Guanpeng Li:
Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions. ISSRE 2023: 730-741 - [c32]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: 43:1-43:13 - [c31]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: 86:1-86:13 - [i7]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 abs/2312.05492 (2023) - 2022
- [j4]Lucas Palazzi, Guanpeng Li, Bo Fang, Karthik Pattabiraman:
Improving the Accuracy of IR-Level Fault Injection. IEEE Trans. Dependable Secur. Comput. 19(1): 243-258 (2022) - [c30]Sabuj Laskar, Md Hasanur Rahman, Guanpeng Li:
TensorFI+: A Scalable Fault Injection Framework for Modern Deep Learning Neural Networks. ISSRE Workshops 2022: 246-251 - [c29]Bohan Zhang, Yafan Huang, Rachael Chen, Guanpeng Li:
D2MoN: Detecting and Mitigating Real-Time Safety Violations in Autonomous Driving Systems. ISSRE Workshops 2022: 262-267 - [c28]Raffaele Della Corte, Marta Catillo, João F. Ferreira, Guanpeng Li:
Message from the RSDA 2022 Workshop Chairs. ISSRE Workshops 2022: xxix - [c27]Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello:
Hardening selective protection across multiple program inputs for HPC applications. PPoPP 2022: 437-438 - [c26]Sabuj Laskar, Md Hasanur Rahman, Bohan Zhang, Guanpeng Li:
Characterizing Deep Learning Neural Network Failures Between Algorithmic Inaccuracy and Transient Hardware Faults. PRDC 2022: 54-67 - [c25]Bohan Zhang, Yafan Huang, Guanpeng Li:
Salus: A Novel Data-Driven Monitor that Enables Real-Time Safety in Autonomous Driving Systems. QRS 2022: 85-94 - [c24]Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello:
Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. SC 2022: 17:1-17:14 - [i6]Pritam Dash, Guanpeng Li, Mehdi Karimibiuki, Karthik Pattabiraman:
Replay-based Recovery for Autonomous Robotic Vehicles from Sensor Deception Attacks. CoRR abs/2209.04554 (2022) - 2021
- [j3]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): 886-899 (2021) - [c23]Zitao Chen, Guanpeng Li, Karthik Pattabiraman:
A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction. DSN 2021: 1-13 - [c22]Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, Karthik Pattabiraman:
PID-Piper: Recovering Robotic Vehicles from Physical Attacks. DSN 2021: 26-38 - [c21]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: xvi - [c20]Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao:
A novel memory-efficient deep learning training framework via error-bounded lossy compression. PPoPP 2021: 485-487 - [c19]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: 80 - [i5]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 abs/2111.09562 (2021) - 2020
- [c18]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: 2708-2715 - [c17]Karthik Pattabiraman, Guanpeng Li, Zitao Chen:
Error Resilient Machine Learning for Safety-Critical Systems: Position Paper. IOLTS 2020: 1-4 - [c16]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: 25-36 - [c15]Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben:
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. ISSRE 2020: 426-435 - [c14]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: 1-3 - [c13]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: 88 - [i4]Zitao Chen, Guanpeng Li, Karthik Pattabiraman:
Ranger: Boosting Error Resilience of Deep Neural Networks through Range Restriction. CoRR abs/2003.13874 (2020) - [i3]Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben:
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. CoRR abs/2004.01743 (2020) - [i2]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 abs/2010.12746 (2020) - [i1]Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao:
A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression. CoRR abs/2011.09017 (2020)
2010 – 2019
- 2019
- [c12]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: 151-162 - [c11]Chun-Kai Chang, Guanpeng Li, Mattan Erez:
Evaluating Compiler IR-Level Selective Instruction Duplication with Realistic Hardware Errors. FTXS@SC 2019: 41-49 - [c10]Zitao Chen, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben:
BinFI: an efficient fault injector for safety-critical machine learning systems. SC 2019: 69:1-69:23 - 2018
- [c9]Guanpeng Li, Karthik Pattabiraman, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai:
Modeling Soft-Error Propagation in Programs. DSN 2018: 27-38 - [c8]Guanpeng Li, Karthik Pattabiraman:
Modeling Input-Dependent Error Propagation in Programs. DSN 2018: 279-290 - [c7]Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben:
TensorFI: A Configurable Fault Injector for TensorFlow Applications. ISSRE Workshops 2018: 313-320 - 2017
- [j2]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): 88:1-88:25 (2017) - [c6]Guanpeng Li:
Modeling Error Propagation in Programs. DSN Workshops 2017: 153-155 - [c5]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: 8 - 2016
- [j1]Frolin S. Ocariza Jr., Guanpeng Li, Karthik Pattabiraman, Ali Mesbah:
Automatic fault localization for client-side JavaScript. Softw. Test. Verification Reliab. 26(1): 69-88 (2016) - [c4]Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, Pradip Bose:
Understanding error propagation in GPGPU applications. SC 2016: 240-251 - 2015
- [c3]Guanpeng Li, Qining Lu, Karthik Pattabiraman:
Fine-Grained Characterization of Faults Causing Long Latency Crashes in Programs. DSN 2015: 450-461 - [c2]Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, Pradip Bose:
Experience report: An application-specific checkpointing technique for minimizing checkpoint corruption. ISSRE 2015: 141-152 - 2014
- [c1]Jiesheng Wei, Anna Thomas, Guanpeng Li, Karthik Pattabiraman:
Quantifying the Accuracy of High-Level Fault Injection Techniques for Hardware Faults. DSN 2014: 375-382
Coauthor Index
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