| Branchnet: A convolutional neural network to predict hard-to-predict branches S Zangeneh, S Pruett, S Lym, YN Patt 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 32 | 2020 |
| Branch runahead: An alternative to branch prediction for impossible to predict branches S Pruett, Y Patt MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 15 | 2021 |
| Dynamically sizing the tage branch predictor S Pruett, S Zangeneh, A Fakhrzadehgan, B Lin, Y Patt 5th JILP Workshop on Computer Architecture Competitions (JWAC-5 …, 2016 | 10 | 2016 |
| Branch prediction with multilayer neural networks: The value of specialization S Zangeneh, S Pruett, Y Patt Machine Learning for Computer Architecture and Systems, 2020 | 4 | 2020 |
| Dynamic merge point prediction S Pruett, Y Patt arXiv preprint arXiv:2005.14691, 2020 | 2 | 2020 |
| Maintaining high performance in the presence of impossible-to-predict branches SM Pruett | | 2022 |
Siavash ZangenehUniversity of Texas at AustinVerified email at utexas.edu
