Memory-efficient deep learning inference with incremental weight loading and data layout reorganization on edge systems.

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Title: Memory-efficient deep learning inference with incremental weight loading and data layout reorganization on edge systems.
Authors: Ji, Cheng1, Wu, Fan2, Zhu, Zongwei1,2, zzw1988@ustc.edu.cn, Chang, Li-Pin3, Liu, Huanghe2, Zhai, Wenjie2
Source: Journal of Systems Architecture; Sep2021, Vol. 118, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 152028893
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Memory-efficient deep learning inference with incremental weight loading and data layout reorganization on edge systems.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=152028893
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.sysarc.2021.102183
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      – Code: eng
        Text: English
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      – TitleFull: Memory-efficient deep learning inference with incremental weight loading and data layout reorganization on edge systems.
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            NameFull: Ji, Cheng
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            NameFull: Wu, Fan
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            NameFull: Zhu, Zongwei
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            NameFull: Chang, Li-Pin
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              M: 09
              Text: Sep2021
              Type: published
              Y: 2021
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