--- title: "Who cites Zeus: Understanding and — 62 citing papers" description: "62 papers of the Elamur Research library cite «Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training», found in…" canonical: "https://research.elamur.ai/free/en/papers/you-2022-zeus-understanding-optimizing-gpu-energy/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/you-2022-zeus-understanding-optimizing-gpu-energy/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Zeus: Understanding and Optimizing GPU Energy…](https://md.research.elamur.ai/free/en/papers/you-2022-zeus-understanding-optimizing-gpu-energy/) / cited by # Who cites «Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training» 62 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training»](https://md.research.elamur.ai/free/en/papers/you-2022-zeus-understanding-optimizing-gpu-energy/) 1. **[DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency](https://md.research.elamur.ai/free/en/papers/stojkovic-2024-dynamollm-designing-llm-inference-clusters/) [Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/)**Jovan Stojkovic, Chaojie Zhang, Inigo Goiri, et al.*2024 · 218 citations* 2. [**Efficient Large Language Models: A Survey arXiv:2312.03863**Zhongwei Wan, Xin Wang, Che Liu, et al.*2023 · 110 citations*](https://md.research.elamur.ai/free/en/papers/wan-2023-efficient-large-language-models-survey/) 60 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/you-2022-zeus-understanding-optimizing-gpu-energy/) — Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training