| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 771 | 2023 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 427 | 2023 |
| Glam: Efficient scaling of language models with mixture-of-experts N Du, Y Huang, AM Dai, S Tong, D Lepikhin, Y Xu, M Krikun, Y Zhou, ... International Conference on Machine Learning, 5547-5569, 2022 | 330 | 2022 |
| Image classification at supercomputer scale C Ying, S Kumar, D Chen, T Wang, Y Cheng arXiv preprint arXiv:1811.06992, 2018 | 148 | 2018 |
| Noise2music: Text-conditioned music generation with diffusion models Q Huang, DS Park, T Wang, TI Denk, A Ly, N Chen, Z Zhang, Z Zhang, ... arXiv preprint arXiv:2302.03917, 2023 | 87 | 2023 |
| GSPMD: general and scalable parallelization for ML computation graphs Y Xu, HJ Lee, D Chen, B Hechtman, Y Huang, R Joshi, M Krikun, ... arXiv preprint arXiv:2105.04663, 2021 | 85 | 2021 |
| Scale mlperf-0.6 models on google tpu-v3 pods S Kumar, V Bitorff, D Chen, C Chou, B Hechtman, HJ Lee, N Kumar, ... arXiv preprint arXiv:1909.09756, 2019 | 36 | 2019 |
| Large-scale discrete Fourier transform on TPUs T Lu, YF Chen, B Hechtman, T Wang, J Anderson IEEE Access 9, 93422-93432, 2021 | 35 | 2021 |
| Eagle-eye: a near-optimal statistical framework for noise sensor placement T Wang, C Zhang, J Xiong, Y Shi 2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 437-443, 2013 | 25 | 2013 |
| Exploring the limits of Concurrency in ML Training on Google TPUs S Kumar, Y Wang, C Young, J Bradbury, N Kumar, D Chen, A Swing Proceedings of Machine Learning and Systems 3, 81-92, 2021 | 16 | 2021 |
| Critical path monitor enabled dynamic voltage scaling for graceful degradation in sub-threshold designs YG Chen, T Wang, KY Lai, WY Wen, Y Shi, SC Chang Proceedings of the 51st Annual Design Automation Conference, 1-6, 2014 | 12 | 2014 |
| Estimation of crosstalk among multiple stripline traces crossing a split by compressed sensing T Wang, Y Shi, S Wu, J Fan 2011 IEEE International Symposium on Electromagnetic Compatibility, 156-160, 2011 | 9 | 2011 |
| Controlled decoding from language models S Mudgal, J Lee, H Ganapathy, YG Li, T Wang, Y Huang, Z Chen, ... arXiv preprint arXiv:2310.17022, 2023 | 7 | 2023 |
| On the deployment of on-chip noise sensors T Wang, C Zhang, J Xiong, Y Shi IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2014 | 7 | 2014 |
| Q-Learning based dynamic voltage scaling for designs with graceful degradation YG Chen, WY Wen, T Wang, Y Shi, SC Chang Proceedings of the 2015 Symposium on International Symposium on Physical …, 2015 | 6 | 2015 |
| Reliable power delivery system design for three-dimensional integrated circuits (3D ICs) PW Luo, T Wang, CL Wey, LC Cheng, BL Sheu, Y Shi 2012 IEEE Computer Society Annual Symposium on VLSI, 356-361, 2012 | 6 | 2012 |
| Capturing the phantom of the power grid-on the runtime adaptive techniques for noise reduction T Wang, PW Luo, YS Su, LC Cheng, DM Kwai, Y Shi 17th Asia and South Pacific Design Automation Conference, 640-645, 2012 | 6 | 2012 |
| Learning to skip for language modeling D Zeng, N Du, T Wang, Y Xu, T Lei, Z Chen, C Cui arXiv preprint arXiv:2311.15436, 2023 | 4 | 2023 |
| On the optimal threshold voltage computation of on-chip noise sensors T Wang, C Zhang, J Xiong, PW Luo, LC Cheng, Y Shi IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2015 | 2 | 2015 |
| Variation aware optimal threshold voltage computation for on-chip noise sensors T Wang, C Zhang, J Xiong, PW Luo, LC Cheng, Y Shi 2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 205-212, 2014 | 2 | 2014 |
Yiyu ShiUniversity of Notre DameVerified email at nd.edu
Yiyu ShiUniversity of Notre DameVerified email at nd.edu
Chun ZhangAMD Inc.Verified email at amd.com