🔗 Who cites «vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design»

80 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design»

1. ZeRO-Offload: Democratizing Billion-Scale Model TrainingarXiv:2101.06840Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, et al.2021 · 309 citations
2. Wan: Open and Advanced Large-Scale Video Generative ModelsarXiv:2503.20314Team Wan, Ang Wang, Baole Ai, et al.2025 · 260 citations
3. ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep LearningSC 2021Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, et al.2021 · 254 citations
4. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training WorkloadsarXiv:1901.05758Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, et al.2019 · 179 citations
5. Full Parameter Fine-tuning for Large Language Models with Limited ResourcesAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Lv, Yuqing Yang, Tengxiao Liu, et al.2024 · 143 citations

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

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