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A Full-system, Programmable, and Extensible In-Memory Computing Simulation Framework for Deep Learning.

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Title: A Full-system, Programmable, and Extensible In-Memory Computing Simulation Framework for Deep Learning.
Authors: Zhou, Kaining1, kainingz@illinois.edu, Huang, Jian1, jianh@illinois.edu, Kim, Nam Sung1, nskim@illinois.edu, Shanbhag, Naresh1, shanbhag@illinois.edu
Source: DAC: Annual ACM/IEEE Design Automation Conference; 2025, Issue 62, p1-7, 7p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Conference
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  Data: A Full-system, Programmable, and Extensible In-Memory Computing Simulation Framework for Deep Learning.
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  Data: <searchLink fieldCode="JN" term="%22DAC%3A+Annual+ACM%2FIEEE+Design+Automation+Conference%22">DAC: Annual ACM/IEEE Design Automation Conference</searchLink>; 2025, Issue 62, p1-7, 7p
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      – Type: doi
        Value: 10.1109/DAC63849.2025.11132463
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      – Code: eng
        Text: English
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      – TitleFull: A Full-system, Programmable, and Extensible In-Memory Computing Simulation Framework for Deep Learning.
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            NameFull: Zhou, Kaining
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            NameFull: Huang, Jian
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            NameFull: Kim, Nam Sung
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              Text: 2025
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              Value: 62
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