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ROAM: memory-efficient large DNN training via optimized operator
  ordering and memory layout

ROAM: memory-efficient large DNN training via optimized operator ordering and memory layout

30 October 2023
Huiyao Shu
Ang Wang
Ziji Shi
Hanyu Zhao
Yong Li
Lu Lu
    OffRL
ArXivPDFHTML

Papers citing "ROAM: memory-efficient large DNN training via optimized operator ordering and memory layout"

4 / 4 papers shown
Title
ZeRO-Offload: Democratizing Billion-Scale Model Training
ZeRO-Offload: Democratizing Billion-Scale Model Training
Jie Ren
Samyam Rajbhandari
Reza Yazdani Aminabadi
Olatunji Ruwase
Shuangyang Yang
Minjia Zhang
Dong Li
Yuxiong He
MoE
160
413
0
18 Jan 2021
ProGraML: Graph-based Deep Learning for Program Optimization and
  Analysis
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
Chris Cummins
Zacharias V. Fisches
Tal Ben-Nun
Torsten Hoefler
Hugh Leather
85
56
0
23 Mar 2020
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural
  Networks for Edge Devices
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices
Byung Hoon Ahn
Jinwon Lee
J. Lin
Hsin-Pai Cheng
Jilei Hou
H. Esmaeilzadeh
62
54
0
04 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
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