| 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 | 201 | 2014 |
| 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 | 88 | 2014 |
| 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 | 84 | 2020 |
| 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 | 81 | 2016 |
| 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 | 58 | 2021 |
| 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 | 45 | 2021 |
| 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 | 42 | 2021 |
| 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 | 42 | 2020 |
| 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 | 28 | 2017 |
| 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 | 28 | 2016 |
| 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 | 27 | 2019 |
| 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 | 20 | 2022 |
| 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 | 18 | 2020 |
| 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 | 17 | 2016 |
| 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 | 17 | 2014 |
| Towards building error resilient GPGPU applications B Fang, J Wei, K Pattabiraman, M Ripeanu SC Companion: High Performance Computing, Networking Storage and Analysis, 2012 | 16 | 2012 |
| 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 | 12 | 2023 |
| Design and evaluation of GPU-FPX: A low-overhead tool for floating-point exception detection in NVIDIA GPUs X Li, I Laguna, B Fang, K Swirydowicz, A Li, G Gopalakrishnan Proceedings of the 32nd International Symposium on High-Performance Parallel …, 2023 | 12 | 2023 |
| Efficient hierarchical state vector simulation of quantum circuits via acyclic graph partitioning B Fang, MY Özkaya, A Li, ÜV Çatalyürek, S Krishnamoorthy 2022 IEEE International Conference on Cluster Computing (CLUSTER), 289-300, 2022 | 12 | 2022 |
| Pinpointing the system reliability degradation in nisq machines B Baheri, Z Xu, V Chaudhary, Y Mao, B Fang, S Xu, Q Guan 2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022 | 11 | 2022 |
Karthik PattabiramanProfessor, Electrical and Computer Engineering, University of British Columbia確認したメール アドレス: ece.ubc.ca