Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching

Miro Hodak, David Ellison, Peter Seidel, Ajay Dholakia. Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching. In Naoki Abe, Huan Liu 0001, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu 0001, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz, editors, IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018. pages 1945-1950, IEEE, 2018. [doi]

Abstract

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