---
title: "Who cites Highly Scalable Deep Learning — 67 citing papers"
description: "67 papers of the Elamur Research library cite «Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in…"
canonical: "https://research.elamur.ai/free/en/papers/jia-2018-highly-scalable-deep-learning-training/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Highly Scalable Deep Learning Training System…](https://md.research.elamur.ai/free/en/papers/jia-2018-highly-scalable-deep-learning-training/) / cited by

# Who cites «Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes»

67 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes»](https://md.research.elamur.ai/free/en/papers/jia-2018-highly-scalable-deep-learning-training/)

1. [**DAPPLE: A Pipelined Data Parallel Approach for Training Large Models arXiv:2007.01045**Shiqing Fan, Yi Rong, Chen Meng, et al.*2020 · 107 citations*](https://md.research.elamur.ai/free/en/papers/fan-2020-dapple-pipelined-data-parallel-approach/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/jia-2018-highly-scalable-deep-learning-training/) — Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes