Memory Optimization for Deep Networks

27 October 2020

Papers citing "Memory Optimization for Deep Networks"

5 / 5 papers shown

Title
OLLA: Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks Benoit Steiner Mostafa Elhoushi Jacob Kahn James Hegarty 31 8 0 24 Oct 2022
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage Min-Zhi Ji Saehanseul Yi Chang-Mo Koo Sol Ahn Dongjoo Seo N. Dutt Jong-Chan Kim 42 17 0 08 Oct 2022
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging Shishir G. Patil Paras Jain P. Dutta Ion Stoica Joseph E. Gonzalez 12 35 0 15 Jul 2022
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge Arthi Padmanabhan Neil Agarwal Anand Iyer Ganesh Ananthanarayanan Yuanchao Shu Nikolaos Karianakis G. Xu Ravi Netravali 43 59 0 19 Jan 2022
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training Jianfei Chen Lianmin Zheng Z. Yao Dequan Wang Ion Stoica Michael W. Mahoney Joseph E. Gonzalez MQ 27 74 0 29 Apr 2021