Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training

22 May 2018

Papers citing "Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training"

6 / 6 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 29 8 0 24 Oct 2022
Path Development Network with Finite-dimensional Lie Group Representation Han Lou Siran Li Hao Ni 18 7 0 02 Apr 2022
Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training Geoffrey X. Yu Tovi Grossman Gennady Pekhimenko 16 17 0 15 Aug 2020
Dynamic Tensor Rematerialization Marisa Kirisame Steven Lyubomirsky Altan Haan Jennifer Brennan Mike He Jared Roesch Tianqi Chen Zachary Tatlock 21 93 0 17 Jun 2020
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 271 1,896 0 10 Jan 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016