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Exploring the limits of Concurrency in ML Training on Google TPUs.

S. Kumar, J. Bradbury, C. Young, Y. Wang, A. Levskaya, B. Hechtman, D. Chen, H. Lee, M. Deveci, N. Kumar, P. Kanwar, S. Wang, S. Wanderman-Milne, S. Lacy, T. Wang, T. Oguntebi, Y. Zu, Y. Xu, and A. Swing. CoRR, (2020)

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Yu Wang

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Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization.C. Schaefer, N. Lambert-Shirzad, X. Zhang, C. Chou, T. Jablin, J. Li, E. Guo, C. Stanton, S. Joshi, and Y. Wang. CoRR, (2023)GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.N. Du, Y. Huang, A. Dai, S. Tong, D. Lepikhin, Y. Xu, M. Krikun, Y. Zhou, A. Yu, O. Firat and 17 other author(s). CoRR, (2021)Demystifying Bayesian Inference Workloads.Y. Wang, Y. Zhu, G. Ko, B. Reagen, G. Wei, and D. Brooks. ISPASS, page 177-189. IEEE, (2019)Hadamard Domain Training with Integers for Class Incremental Quantized Learning.M. Schiemer, C. Schaefer, J. Vap, M. Horeni, Y. Wang, J. Ye, and S. Joshi. CoRR, (2023)AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models.X. Zhang, Z. Zhou, D. Chen, and Y. Wang. CoRR, (2022)Exploiting Parallelism Opportunities with Deep Learning Frameworks.Y. Wang, C. Wu, X. Wang, K. Hazelwood, and D. Brooks. ACM Trans. Archit. Code Optim., 18 (1): 9:1-9:23 (2021)A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers.P. Phothilimthana, A. Sabne, N. Sarda, K. Murthy, Y. Zhou, C. Angermueller, M. Burrows, S. Roy, K. Mandke, R. Farahani and 7 other author(s). PACT, page 1-16. IEEE, (2021)Exploiting Parallelism Opportunities with Deep Learning Frameworks.Y. Wang, C. Wu, X. Wang, K. Hazelwood, and D. Brooks. CoRR, (2019)Mixed Precision Post Training Quantization of Neural Networks with Sensitivity Guided Search.C. Schaefer, E. Guo, C. Stanton, X. Zhang, T. Jablin, N. Lambert-Shirzad, J. Li, C. Chou, S. Joshi, and Y. Wang. CoRR, (2023)GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.N. Du, Y. Huang, A. Dai, S. Tong, D. Lepikhin, Y. Xu, M. Krikun, Y. Zhou, A. Yu, O. Firat and 17 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 5547-5569. PMLR, (2022)

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Disambiguation of "Wang, Yu Emma"

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Exploring the limits of Concurrency in ML Training on Google TPUs.

Please choose a person to relate this publication to

Yu Wang

Yu Wang

Yu Wang

Yu Wang

Yu Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wang, Yu Emma"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Exploring the limits of Concurrency in ML Training on Google TPUs.

Please choose a person to relate this publication to

Yu Wang

Yu Wang

Yu Wang

Yu Wang

Yu Wang

Other publications of authors with the same name

Disambiguation

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URL
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Exploring the limits of Concurrency in ML Training on Google TPUs.