🔗 Who cites «In-Datacenter Performance Analysis of a Tensor Processing Unit»

426 papers of our library cite it (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · ← back to «In-Datacenter Performance Analysis of a Tensor Processing Unit»

1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
2. Training Compute-Optimal Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, et al.2022 · 2,032 citations
3. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
4. Mastering chess and shogi by self-play with a general reinforcement learning algorithm2017 · 1,186 citations
5. PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph CompilationACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)Jason Ansel, Edward Yang, Horace He, et al.2024 · 946 citations
6. TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for EmbeddingsProceedings - International Symposium on Computer Architecture/ProceedingsNorman P. Jouppi; George Kurian; Sheng Li; Peter Ma; Rahul Nagarajan; Lifeng Nai; Nishant Patil; Suvinay Subramanian; Andy Swing; Brian Towles; Cliff Young; Xiang Zhou; Zongwei Zhou;, David Patterson2023 · 615 citations
7. Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative RefinementConference on Empirical Methods in Natural Language Processing (EMNLP)Jason Lee, Elman Mansimov, Kyunghyun Cho2018 · 568 citations
8. Massively Multilingual Neural Machine Translation in the Wild: Findings and ChallengesarXiv:1907.05019Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.2019 · 564 citations
9. The Best of Both Worlds: Combining Recent Advances in Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Mia Xu Chen, Orhan Firat, Ankur Bapna, et al.2018 · 559 citations
10. SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head PruningProceedings - International Symposium on High-Performance Computer Architecture/ProceedingsHanrui Wang, Zhekai Zhang, Song Han2020 · 534 citations
11. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 481 citations
12. Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning AbstractionsarXiv:1802.04730Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, et al.2018 · 323 citations
13. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys 2019Tal Ben-Nun, Torsten Hoefler2018 · 275 citations
14. Multimodal Few-Shot Learning with Frozen Language ModelsarXiv:2106.13884Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.2021 · 258 citations
15. Taskmaster-1: Toward a Realistic and Diverse Dialog DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, et al.2019 · 247 citations
16. Memory-Efficient Pipeline-Parallel DNN TrainingInternational Conference on Machine Learning (ICML)Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, et al.2020 · 153 citations
17. Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning WorkloadsarXiv:2008.09213Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, et al.2020 · 141 citations

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