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Bo Fang
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GPU-Qin: A methodology for evaluating the error resilience of GPGPU applications
B Fang, K Pattabiraman, M Ripeanu, S Gurumurthi
2014 IEEE International Symposium on Performance Analysis of Systems and …, 2014
1972014
GPGPUs: How to combine high computational power with high reliability
LB Gomez, F Cappello, L Carro, N DeBardeleben, B Fang, S Gurumurthi, ...
2014 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-9, 2014
862014
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
752020
ePVF: An Enhanced Program Vulnerability Factor Methodology for Cross-Layer Resilience Analysis
B Fang, Q Lu, K Pattabiraman, M Ripeanu, S Gurumurthi
Dependable Systems and Networks (DSN), 2016 46th Annual IEEE/IFIP …, 2016
732016
Qugan: A quantum state fidelity based generative adversarial network
SA Stein, B Baheri, D Chen, Y Mao, Q Guan, A Li, B Fang, S Xu
2021 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2021
452021
Qugan: A generative adversarial network through quantum states
SA Stein, B Baheri, RM Tischio, Y Mao, Q Guan, A Li, B Fang, S Xu
arXiv preprint arXiv:2010.09036 2, 2020
412020
A hybrid system for learning classical data in quantum states
SA Stein, R L’Abbate, W Mu, Y Liu, B Baheri, Y Mao, G Qiang, A Li, ...
2021 IEEE International Performance, Computing, and Communications …, 2021
402021
Sv-sim: scalable pgas-based state vector simulation of quantum circuits
A Li, B Fang, C Granade, G Prawiroatmodjo, B Heim, M Roetteler, ...
Proceedings of the International Conference for High Performance Computing …, 2021
312021
Letgo: A lightweight continuous framework for hpc applications under failures
B Fang, Q Guan, N Debardeleben, K Pattabiraman, M Ripeanu
Proceedings of the 26th International Symposium on High-Performance Parallel …, 2017
282017
A systematic methodology for evaluating the error resilience of gpgpu applications
B Fang, K Pattabiraman, M Ripeanu, S Gurumurthi
IEEE transactions on parallel and distributed systems 27 (12), 3397-3411, 2016
282016
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
262019
Sdc is in the eye of the beholder: A survey and preliminary study
B Fang, P Wu, Q Guan, N DeBardeleben, L Monroe, S Blanchard, Z Chen, ...
2016 46th Annual IEEE/IFIP International Conference on Dependable Systems …, 2016
172016
CQNN: a CGRA-based QNN framework
T Geng, C Wu, C Tan, B Fang, A Li, M Herbordt
2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2020
162020
Evaluating the error resilience of parallel programs
B Fang, K Pattabiraman, M Ripeanu, S Gurumurthi
2014 44th Annual IEEE/IFIP International Conference on Dependable Systems …, 2014
162014
Towards building error resilient GPGPU applications
B Fang, J Wei, K Pattabiraman, M Ripeanu
SC Companion: High Performance Computing, Networking Storage and Analysis, 2012
162012
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
112022
Evaluating error resiliency of GPGPU applications
B Fang, J Wei, K Pattabiraman, M Ripeanu
2012 SC Companion: High Performance Computing, Networking Storage and …, 2012
102012
TQEA: temporal quantum error analysis
B Baheri, D Chen, B Fang, SA Stein, V Chaudhary, Y Mao, S Xu, A Li, ...
2021 51st Annual IEEE/IFIP International Conference on Dependable Systems …, 2021
92021
Bonvoision: Leveraging spatial data smoothness for recovery from memory soft errors
B Fang, H Halawa, K Pattabiraman, M Ripeanu, S Krishnamoorthy
Proceedings of the ACM International Conference on Supercomputing, 484-496, 2019
92019
AMRIC: A novel in situ lossy compression framework for efficient I/O in adaptive mesh refinement applications
D Wang, J Pulido, P Grosset, J Tian, S Jin, H Tang, J Sexton, S Di, K Zhao, ...
Proceedings of the International Conference for High Performance Computing …, 2023
82023
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