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Conference Paper A Novel Shared Memory Framework for Distributed Deep Learning in High-Performance Computing Architecture
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Authors
Shinyoung Ahn, Joongheon Kim, Sungwon Kang
Issue Date
2018-05
Citation
International Conference on Software Engineering (ICSE) 2018, pp.191-192
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1145/3183440.3195091
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.
KSP Keywords
Communication performance, Distributed processes, High-performance computing(HPC), Remote Node, Virtual Shared Memory, deep learning(DL), parameter sharing