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Efficient Memory Management for GPU-based Deep Learning Systems

Efficient Memory Management for GPU-based Deep Learning Systems

19 February 2019
Junzhe Zhang
Sai-Ho Yeung
Yao Shu
Bingsheng He
Wei Wang
ArXivPDFHTML

Papers citing "Efficient Memory Management for GPU-based Deep Learning Systems"

5 / 5 papers shown
Title
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in
  Tencent
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent
Xiaonan Nie
Yi Liu
Fangcheng Fu
Jinbao Xue
Dian Jiao
Xupeng Miao
Yangyu Tao
Bin Cui
MoE
33
17
0
06 Mar 2023
Survey on Large Scale Neural Network Training
Survey on Large Scale Neural Network Training
Julia Gusak
Daria Cherniuk
Alena Shilova
A. Katrutsa
Daniel Bershatsky
...
Lionel Eyraud-Dubois
Oleg Shlyazhko
Denis Dimitrov
Ivan Oseledets
Olivier Beaumont
41
10
0
21 Feb 2022
Harmony: Overcoming the Hurdles of GPU Memory Capacity to Train Massive
  DNN Models on Commodity Servers
Harmony: Overcoming the Hurdles of GPU Memory Capacity to Train Massive DNN Models on Commodity Servers
Youjie Li
Amar Phanishayee
D. Murray
Jakub Tarnawski
Nam Sung Kim
19
19
0
02 Feb 2022
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
177
417
0
18 Jan 2021
Streaming convolutional neural networks for end-to-end learning with
  multi-megapixel images
Streaming convolutional neural networks for end-to-end learning with multi-megapixel images
H. Pinckaers
Bram van Ginneken
G. Litjens
MedIm
27
94
0
11 Nov 2019
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