Paper Abstract and Keywords |
Presentation |
2021-03-25 16:00
Optimizing Data Transfer between CPU and GPU in Model Parallel Training with Mesh TensorFlow Hironori Yokote, Shinobu Miwa, Hayato Yamaki, Hiroki Honda (UEC) CPSY2020-56 DC2020-86 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Since deep learning requires an enormous amount of computation time, it is often executed on multiple GPUs. Mesh TensorFlow has been proposed as a language for model parallelization, which is one of the parallelization methods for deep learning. In this paper, we optimize data transfer between CPU and GPU in model parallelization using Mesh TensorFlow. Specifically, our optimization enables training data to be transferred from the CPU to each GPU directly in parallel, though it is originally transferred via a specific GPU in the sample code of Mesh TensorFlow. Our experimental results show that our optimization can both reduce the time of the data transfer and improve the efficiency of GPU-memory utilization. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Mesh TensorFlow / Model Parallel / GPU / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 435, CPSY2020-56, pp. 37-42, March 2021. |
Paper # |
CPSY2020-56 |
Date of Issue |
2021-03-18 (CPSY, DC) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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CPSY2020-56 DC2020-86 |
Conference Information |
Committee |
CPSY DC IPSJ-SLDM IPSJ-EMB IPSJ-ARC |
Conference Date |
2021-03-25 - 2021-03-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
ETNET2021 |
Paper Information |
Registration To |
CPSY |
Conference Code |
2021-03-CPSY-DC-SLDM-EMB-ARC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Optimizing Data Transfer between CPU and GPU in Model Parallel Training with Mesh TensorFlow |
Sub Title (in English) |
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Mesh TensorFlow |
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Model Parallel |
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GPU |
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1st Author's Name |
Hironori Yokote |
1st Author's Affiliation |
The University of Electro-Communications (UEC) |
2nd Author's Name |
Shinobu Miwa |
2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
3rd Author's Name |
Hayato Yamaki |
3rd Author's Affiliation |
The University of Electro-Communications (UEC) |
4th Author's Name |
Hiroki Honda |
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The University of Electro-Communications (UEC) |
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Speaker |
Author-1 |
Date Time |
2021-03-25 16:00:00 |
Presentation Time |
20 minutes |
Registration for |
CPSY |
Paper # |
CPSY2020-56, DC2020-86 |
Volume (vol) |
vol.120 |
Number (no) |
no.435(CPSY), no.436(DC) |
Page |
pp.37-42 |
#Pages |
6 |
Date of Issue |
2021-03-18 (CPSY, DC) |
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