An Analysis of Collocation on GPUs for Deep Learning Training-Reference-Cited by-同舟云学术

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An Analysis of Collocation on GPUs for Deep Learning Training

Published:2024-04-22 Issue: Volume:32 Page:81-90
ISSN:
Container-title:Proceedings of the 4th Workshop on Machine Learning and Systems
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Author:

Robroek Ties¹^ORCID,Yousefzadeh-Asl-Miandoab Ehsan¹^ORCID,Tözün Pınar¹^ORCID

Affiliation:

1. IT University of Copenhagen

Funder

Danmarks Frie Forskningsfond

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3642970.3655827

Reference34 articles.

1. [n.d.]. GPU Pro Tip: CUDA 7 Streams Simplify Concurrency. https://developer.nvidia.com/blog/gpu-pro-tip-cuda-7-streams-simplify-concurrency/. Accessed: 2022-10-21.

2. Sebastian Baunsgaard, Sebastian Benjamin Wrede, and Pinar Tözün. 2020. Training for Speech Recognition on Coprocessors. In ADMS.

3. CuMAS

4. Patryk Chrabaszcz, Ilya Loshchilov, and Frank Hutter. 2017. A Down-sampled Variant of ImageNet as an Alternative to the CIFAR datasets. CoRR arXiv (2017).

5. Criteo. [n.d.]. Criteo 1TB Click Logs dataset. https://www.criteo.com/news/press-releases/2015/07/criteo-releases-industrys-largest-ever-dataset/.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Analysis of Collocation on GPUs for Deep Learning Training;Proceedings of the 4th Workshop on Machine Learning and Systems;2024-04-22

2. Characterizing Training Performance and Energy for Foundation Models and Image Classifiers on Multi-Instance GPUs;Proceedings of the 4th Workshop on Machine Learning and Systems;2024-04-22

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