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Guanpeng Li
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Year
Understanding Error Propagation in Deep Learning Neural Network (DNN) Accelerators and Applications
G Li, S Hari, M Sullivan, T Tsai, K Pattabiraman, J Emer, SW Keckler
International Conference for High-Performance Computing, Networking, Storage …, 2017
5602017
Quantifying the accuracy of high-level fault injection techniques for hardware faults
J Wei, A Thomas, G Li, K Pattabiraman
2014 44th Annual IEEE/IFIP International Conference on Dependable Systems …, 2014
2152014
Av-fuzzer: Finding safety violations in autonomous driving systems
G Li, Y Li, S Jha, T Tsai, M Sullivan, SKS Hari, Z Kalbarczyk, R Iyer
2020 IEEE 31st international symposium on software reliability engineering …, 2020
1392020
Modeling soft-error propagation in programs
G Li, K Pattabiraman, SKS Hari, M Sullivan, T Tsai
2018 48th Annual IEEE/IFIP International Conference on Dependable Systems …, 2018
1102018
BinFI an efficient fault injector for safety-critical machine learning systems
Z Chen, G Li, K Pattabiraman, N DeBardeleben
Proceedings of the International Conference for High Performance Computing …, 2019
1092019
Understanding error propagation in GPGPU applications
G Li, K Pattabiraman, CY Cher, P Bose
SC'16: Proceedings of the International Conference for High Performance …, 2016
1062016
A low-cost fault corrector for deep neural networks through range restriction
Z Chen, G Li, K Pattabiraman
2021 51st Annual IEEE/IFIP International Conference on Dependable Systems …, 2021
742021
Tensorfi: A flexible fault injection framework for tensorflow applications
Z Chen, N Narayanan, B Fang, G Li, K Pattabiraman, N DeBardeleben
2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020
692020
Tensorfi: A configurable fault injector for tensorflow applications
G Li, K Pattabiraman, N DeBardeleben
2018 IEEE International symposium on software reliability engineering …, 2018
682018
Configurable detection of SDC-causing errors in programs
Q Lu, G Li, K Pattabiraman, MS Gupta, JA Rivers
ACM Transactions on Embedded Computing Systems (TECS) 16 (3), 1-25, 2017
382017
Modeling input-dependent error propagation in programs
G Li, K Pattabiraman
2018 48th Annual IEEE/IFIP International Conference on Dependable Systems …, 2018
352018
Fine-grained characterization of faults causing long latency crashes in programs
G Li, Q Lu, K Pattabiraman
2015 45th annual ieee/ifip international conference on dependable systems …, 2015
312015
Automatic fault localization for client‐side JavaScript
FS Ocariza Jr, G Li, K Pattabiraman, A Mesbah
Software Testing, Verification and Reliability 26 (1), 69-88, 2016
302016
Pid-piper: Recovering robotic vehicles from physical attacks
P Dash, G Li, Z Chen, M Karimibiuki, K Pattabiraman
2021 51st Annual IEEE/IFIP International Conference on Dependable Systems …, 2021
272021
A tale of two injectors: End-to-end comparison of ir-level and assembly-level fault injection
L Palazzi, G Li, B Fang, K Pattabiraman
2019 IEEE 30th International Symposium on Software Reliability Engineering …, 2019
252019
Gpu-trident: efficient modeling of error propagation in gpu programs
AR Anwer, G Li, K Pattabiraman, M Sullivan, T Tsai, SKS Hari
SC20: International Conference for High Performance Computing, Networking …, 2020
232020
Ranger: Boosting error resilience of deep neural networks through range restriction
Z Chen, G Li, K Pattabiraman
arXiv preprint arXiv:2003.13874, 2020
222020
Comet: a novel memory-efficient deep learning training framework by using error-bounded lossy compression
S Jin, C Zhang, X Jiang, Y Feng, H Guan, G Li, SL Song, D Tao
arXiv preprint arXiv:2111.09562, 2021
182021
A novel memory-efficient deep learning training framework via error-bounded lossy compression
S Jin, G Li, SL Song, D Tao
Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of …, 2021
122021
Evaluating compiler ir-level selective instruction duplication with realistic hardware errors
CK Chang, G Li, M Erez
2019 IEEE/ACM 9th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS …, 2019
122019
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Articles 1–20