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학술대회 A Novel Shared Memory Framework for Distributed Deep Learning in High-Performance Computing Architecture
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저자
안신영, 김중헌, 강성원
발행일
201805
출처
International Conference on Software Engineering (ICSE) 2018, pp.191-192
DOI
https://dx.doi.org/10.1145/3183440.3195091
협약과제
18HS2700, 대규모 딥러닝 고속 처리를 위한 HPC 시스템 개발, 최완
초록
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.
키워드
Distributed deep learning, HPC, Parameter sharing, Remote shared memory
KSP 제안 키워드
Communication performance, Distributed processes, High Performance Computing, Remote Node, Virtual Shared Memory, deep learning(DL), parameter sharing