---
title: "Who cites vDNN: Virtualized Deep Neural — 80 citing papers"
description: "80 papers of the Elamur Research library cite «vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network…"
canonical: "https://research.elamur.ai/free/en/papers/rhu-2016-vdnn-virtualized-deep-neural-networks/cited-by/"
---
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# 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»](https://md.research.elamur.ai/free/en/papers/rhu-2016-vdnn-virtualized-deep-neural-networks/)

1. [**ZeRO-Offload: Democratizing Billion-Scale Model Training arXiv:2101.06840**Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, et al.*2021 · 309 citations*](https://md.research.elamur.ai/free/en/papers/ren-2021-zero-offload-democratizing-billion-scale/)
2. [**Wan: Open and Advanced Large-Scale Video Generative Models arXiv:2503.20314**Team Wan, Ang Wang, Baole Ai, et al.*2025 · 260 citations*](https://md.research.elamur.ai/free/en/papers/wan-2025-wan-open-advanced-large-scale/)
3. [**ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning SC 2021**Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, et al.*2021 · 254 citations*](https://md.research.elamur.ai/free/en/papers/rajbhandari-2021-zero-infinity-breaking-gpu-memory/)
4. [**Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads arXiv:1901.05758**Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, et al.*2019 · 179 citations*](https://md.research.elamur.ai/free/en/papers/jeon-2019-analysis-large-scale-multi-tenant/)
5. **[Full Parameter Fine-tuning for Large Language Models with Limited Resources](https://md.research.elamur.ai/free/en/papers/lv-2024-full-parameter-fine-tuning-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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.

- [← back to](https://md.research.elamur.ai/free/en/papers/rhu-2016-vdnn-virtualized-deep-neural-networks/) — vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design