🔗 Who cites «cuDNN: Efficient Primitives for Deep Learning»

297 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · ← back to «cuDNN: Efficient Primitives for Deep Learning»

1. PyTorch: An Imperative Style, High-Performance Deep Learning LibraryarXiv:1912.01703Adam Paszke, Sam Gross, Francisco Massa, et al.2019 · 18,645 citations
2. TensorFlow: A system for large-scale machine learningarXiv:1605.08695Martin Abadi, Paul Barham, Jianmin Chen, et al.2016 · 12,711 citations
3. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed SystemsarXiv:1603.04467Martín Abadi, Ashish Agarwal, Paul Barham, et al.2016 · 9,512 citations
4. Deep Speech 2: End-to-End Speech Recognition in English and MandarinarXiv:1512.02595Dario Amodei, Rishita Anubhai, Eric Battenberg, et al.2015 · 2,341 citations
5. Deep Speech: Scaling up end-to-end speech recognitionarXiv:1412.5567Awni Hannun, Carl Case, Jared Casper, et al.2014 · 1,600 citations
6. 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
7. Learning Structured Sparsity in Deep Neural NetworksarXiv:1608.03665Wei Wen, Chunpeng Wu, Yandan Wang, et al.2016 · 530 citations
8. NVIDIA Tensor Core Programmability, Performance & PrecisionIPDPSW 2018 (arXiv)Stefano Markidis, Steven Wei Der Chien, Erwin Laure, et al.2018 · 465 citations
9. Beyond Data and Model Parallelism for Deep Neural NetworksSysML 2019Zhihao Jia, Matei Zaharia, Alex Aiken2018 · 280 citations
10. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys 2019Tal Ben-Nun, Torsten Hoefler2018 · 275 citations
11. Sparse GPU Kernels for Deep Learning2012 International Conference for High Performance Computing, Networking, Storage and AnalysisTrevor Gale, Matei Zaharia, Cliff Young, et al.2020 · 259 citations
12. Efficient Processing of Deep Neural Networks: A Tutorial and SurveyProceedings of the IEEE 2017Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, et al.2017 · 146 citations
13. Direct Acoustics-to-Word Models for English Conversational Speech RecognitionInterspeechKartik Audhkhasi, Bhuvana Ramabhadran, George Saon, et al.2017 · 122 citations
14. Vidur: A Large-Scale Simulation Framework For LLM InferencearXiv:2405.05465Amey Agrawal, Nitin Kedia, Jayashree Mohan, et al.2024 · 90 citations
15. vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignMICRO 2016Minsoo Rhu, Natalia Gimelshein, Jason Clemons, et al.2016 · 81 citations
16. TASO: Optimizing Deep Learning Computation with Automatic Generation of Graph SubstitutionsSOSP 2019Zhihao Jia, Oded Padon, James Thomas, et al.2019 · 72 citations

281 more papers of our library cite it; they have no page here yet.

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