Digital Library
Search: "[ keyword: Distributed Deep Learning ]" (2)
Dynamic Resource Adjustment Operator Based on Autoscaling for Improving Distributed Training Job Performance on Kubernetes
Jinwon Jeong, Heonchang Yu KIPS Transactions on Computer and Communication Systems,
Vol. 11, No. 7, pp. 205-216,
Jul.
2022
https://doi.org/10.3745/KTCCS.2022.11.7.205
Keywords: Kubeflow, Kubernetes, Distributed Deep Learning Training, Resource Adjustment Operator
https://doi.org/10.3745/KTCCS.2022.11.7.205
Keywords: Kubeflow, Kubernetes, Distributed Deep Learning Training, Resource Adjustment Operator
Hybrid All-Reduce Strategy with Layer Overlapping for Reducing Communication Overhead in Distributed Deep Learning
Daehyun Kim, Sangho Yeo, Sangyoon Oh KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 7, pp. 191-198,
Jul.
2021
10.3745/KTCCS.2021.10.7.191
Keywords: Distributed Deep Learning, Synchronization, Layer Overlapping, Allreduce
10.3745/KTCCS.2021.10.7.191
Keywords: Distributed Deep Learning, Synchronization, Layer Overlapping, Allreduce
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Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
- Vol. 12, No. 11 (Nov. 2023)
- Vol. 12, No. 10 (Oct. 2023)
- Vol. 12, No. 9 (Sep. 2023)
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- Vol. 12, No. 1 (Jan. 2023)
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Vol. 11, 2022
- Vol. 11, No. 12 (Dec. 2022)
- Vol. 11, No. 11 (Nov. 2022)
- Vol. 11, No. 10 (Oct. 2022)
- Vol. 11, No. 9 (Sep. 2022)
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Vol. 10, 2021
- Vol. 10, No. 12 (Dec. 2021)
- Vol. 10, No. 11 (Nov. 2021)
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Vol. 9, 2020
- Vol. 9, No. 12 (Dec. 2020)
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Vol. 8, 2019
- Vol. 8, No. 12 (Dec. 2019)
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Vol. 7, 2018
- Vol. 7, No. 12 (Dec. 2018)
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Vol. 6, 2017
- Vol. 6, No. 12 (Dec. 2017)
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Vol. 5, 2016
- Vol. 5, No. 12 (Dec. 2016)
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Vol. 4, 2015
- Vol. 4, No. 12 (Dec. 2015)
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Vol. 3, 2014
- Vol. 3, No. 12 (Dec. 2014)
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Vol. 2, 2013
- Vol. 2, No. 12 (Dec. 2013)
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Vol. 1, 2012
Old Journals
Indexing
All publications of KTCCS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTCCS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
