| A learned performance model for tensor processing units S Kaufman, P Phothilimthana, Y Zhou, C Mendis, S Roy, A Sabne, ... Proceedings of Machine Learning and Systems 3, 387-400, 2021 | 82 | 2021 |
| Design and evaluation of a computer science and engineering course for middle school girls G Marcu, SJ Kaufman, JK Lee, RW Black, P Dourish, GR Hayes, ... Proceedings of the 41st ACM technical symposium on Computer science …, 2010 | 59 | 2010 |
| Swizzle inventor: data movement synthesis for GPU kernels PM Phothilimthana, AS Elliott, A Wang, A Jangda, B Hagedorn, H Barthels, ... Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 58 | 2019 |
| Sampling invariants from frequency distributions G Fedyukovich, SJ Kaufman, R Bodík 2017 Formal Methods in Computer Aided Design (FMCAD), 100-107, 2017 | 54 | 2017 |
| Prioritizing Mutants to Guide Mutation Testing SJ Kaufman, R Featherman, J Alvin, B Kurtz, P Ammann, R Just International Conference on Software Engineering, 2022 | 36 | 2022 |
| Online everywhere: evolving mobile instant messaging practices DJ Patterson, C Baker, X Ding, SJ Kaufman, K Liu, A Zaldivar Proceedings of the 10th international conference on Ubiquitous computing, 64-73, 2008 | 34 | 2008 |
| A flexible approach to autotuning multi-pass machine learning compilers PM Phothilimthana, A Sabne, N Sarda, KS Murthy, Y Zhou, ... 2021 30th International Conference on Parallel Architectures and Compilation …, 2021 | 30 | 2021 |
| An ecosystem for learning and using sensor-driven IM status messages DJ Patterson, X Ding, SJ Kaufman, K Liu, A Zaldivar IEEE Pervasive Computing 8 (4), 42-49, 2009 | 22 | 2009 |
| Learned TPU cost model for XLA tensor programs S Kaufman, PM Phothilimthana, M Burrows Proc. Workshop ML Syst. NeurIPS, 1-6, 2019 | 20* | 2019 |
| Rebound effects in sustainable HCI SJ Kaufman, MS Silberman Proc. CHI’11 workshop, 2011 | 9 | 2011 |
| Sampling Invariants from Frequency Distributions. In 2017 Formal Methods in Computer Aided Design, FMCAD G Fedyukovich, SJ Kaufman, R Bodík IEEE, 100ś107. https://doi. org/10.23919/FMCAD, 2017 | 7 | 2017 |
| Learning inductive invariants by sampling from frequency distributions G Fedyukovich, SJ Kaufman, R Bodík Formal methods in system design 56, 154-177, 2020 | 5 | 2020 |
| Where we Twitter SJ Kaufman, J Chen Proc. of Workshop on Microblogging: What and How Can We Learn From It, 2010 | 5 | 2010 |
| Interactive and intelligent visual communication systems GR Hayes, DJ Patterson, M Monibi, SJ Kaufman Proceedings of the 7th international conference on Interaction design and …, 2008 | 5 | 2008 |
| A Learned Performance Model for the Tensor Processing Unit M Phothilimthana, M Burrows, S Kaufman, Y Zhou Tech. rep. URL: https://arxiv. org/pdf/2008.01040. pdf, 2020 | 3 | 2020 |
| Equivalent Mutants in the Wild: Identifying and Efficiently Suppressing Equivalent Mutants for Java Programs B Kushigian, SJ Kaufman, R Featherman, H Potter, A Madadi, R Just Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 1 | 2024 |
| A learned performance model for tensor processing units A Sabne, C Mendis, M Phothilimthana, M Burrows, SJ Kaufman, S Roy, ... | 1 | 2021 |
| A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers A Sabne, B Ilbeyi, B Roune, B Hechtman, C Angermueller, E Wang, ... | | 2021 |
| Notes toward an experimental political ecology/nomy MS Silberman, S Kaufman, W Tomlinson | | 2009 |
| Martin C Minckler D I Ahmed, J Alio, P Asbell, R Ayyala, J Bainbridge, A Basu, M Baykara, ... | | |
Rastislav BodikUniversity of WashingtonDirección de correo verificada de cs.washington.edu
