A Selective Preprocessing Offloading Framework for Reducing Data Traffic in DL Training

Author:

Wang Meng1ORCID,Waldspurger Gus1ORCID,Sundararaman Swaminathan2ORCID

Affiliation:

1. University of Chicago, Chicago, IL, USA

2. IBM Research, San Jose, CA, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference47 articles.

1. Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

2. Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. ImageNet Classification with Deep Convolutional Neural Networks. In Proceedings of the 26th Conference on Neural Information Processing Systems (NIPS), 2012.

3. Karen Simonyan and Andrew Zisserman. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556, 2014.

4. Speech recognition with deep recurrent neural networks

5. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805, 2018.

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