| 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 | 530 | 2017 |
| 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 | 210 | 2014 |
| 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 | 130 | 2020 |
| 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 | 107 | 2019 |
| 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 | 106 | 2018 |
| 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 | 103 | 2016 |
| 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 | 66 | 2020 |
| Tensorfi: A configurable fault injector for tensorflow applications G Li, K Pattabiraman, N DeBardeleben 2018 IEEE International symposium on software reliability engineering …, 2018 | 66 | 2018 |
| 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 | 62 | 2021 |
| Modeling input-dependent error propagation in programs G Li, K Pattabiraman 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems …, 2018 | 35 | 2018 |
| 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 | 34 | 2017 |
| 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 | 31 | 2015 |
| 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 | 30 | 2016 |
| 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 | 27 | 2021 |
| 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 | 24 | 2019 |
| 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 | 23 | 2020 |
| Ranger: Boosting error resilience of deep neural networks through range restriction Z Chen, G Li, K Pattabiraman arXiv preprint arXiv:2003.13874, 2020 | 21 | 2020 |
| 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 | 16 | 2021 |
| 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 | 11 | 2021 |
| 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 | 11 | 2019 |
Karthik PattabiramanProfessor, Electrical and Computer Engineering, University of British ColumbiaDirección de correo verificada de ece.ubc.ca
