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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
6242017
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
2262014
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
1772020
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
1242018
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
1222019
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
1122016
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
1022021
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
812020
Tensorfi: A configurable fault injector for tensorflow applications
G Li, K Pattabiraman, N DeBardeleben
2018 IEEE International symposium on software reliability engineering …, 2018
762018
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
432017
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
362021
Modeling input-dependent error propagation in programs
G Li, K Pattabiraman
2018 48th Annual IEEE/IFIP International Conference on Dependable Systems …, 2018
362018
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
322015
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
312016
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
272020
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
272019
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
262021
Ranger: Boosting error resilience of deep neural networks through range restriction
Z Chen, G Li, K Pattabiraman
arXiv preprint arXiv:2003.13874, 2020
232020
cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance
Y Huang, S Di, X Yu, G Li, F Cappello
Proceedings of the International Conference for High Performance Computing …, 2023
212023
Fault injection for TensorFlow applications
N Narayanan, Z Chen, B Fang, G Li, K Pattabiraman, N Debardeleben
IEEE Transactions on Dependable and Secure Computing 20 (4), 2677-2695, 2022
162022
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