Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Poster: A Novel Shared Memory Framework for Distributed Deep Learning in High-Performance Computing Architecture
- Authors
- Ahn, Shinyoung; Kim, Joongheon; Kang, Sungwon
- Issue Date
- May-2018
- Publisher
- IEEE
- Keywords
- Distributed deep learning; remote shared memory; parameter sharing; HPC
- Citation
- PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING - COMPANION (ICSE-COMPANION, pp 191 - 192
- Pages
- 2
- Journal Title
- PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING - COMPANION (ICSE-COMPANION
- Start Page
- 191
- End Page
- 192
- ISSN
- 2574-1926
- Abstract
- This paper proposes a novel virtual shared memory framework, Soft Memory Box (SMB), which directly shares the memory of remote nodes among distributed processes to improve communication performance/speed via deep learning parameter sharing.
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.