Estimating GPU memory consumption of deep learning models-Reference-Cited by-同舟云学术

Estimating GPU memory consumption of deep learning models

Published:2020-11-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Author:

Gao Yanjie¹,Liu Yu²,Zhang Hongyu³,Li Zhengxian¹,Zhu Yonghao¹,Lin Haoxiang¹,Yang Mao¹

Affiliation:

1. Microsoft Research, China

2. Microsoft Research, China / National University of Singapore, Singapore

3. University of Newcastle, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3368089.3417050

Reference51 articles.

1. Elvira Albert Samir Genaim and Miguel Gómez-Zamalloa. 2010. Parametric Inference of Memory Requirements for Garbage Collected Languages. SIGPLAN Not. 45 8 ( June 2010 ) 121-130. https://doi.org/10.1145/1837855.1806671 10.1145/1837855.1806671 Elvira Albert Samir Genaim and Miguel Gómez-Zamalloa. 2010. Parametric Inference of Memory Requirements for Garbage Collected Languages. SIGPLAN Not. 45 8 ( June 2010 ) 121-130. https://doi.org/10.1145/1837855.1806671 10.1145/1837855.1806671

2. Backpropagation and stochastic gradient descent method

3. Amazon. 2019. Amazon SageMaker. https://aws.amazon.com/sagemaker. Amazon. 2019. Amazon SageMaker. https://aws.amazon.com/sagemaker.

4. Microsoft Azure. 2019. Microsoft Azure Machine Learning. https://azure. microsoft.com/en-us/ services/machine-learning-service. Microsoft Azure. 2019. Microsoft Azure Machine Learning. https://azure. microsoft.com/en-us/ services/machine-learning-service.

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