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Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency.

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Title: Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency.
Authors: Mazumder, Arnab Neelim1, arnabm1@umbc.edu, Safavi, Farshad1, fsafavi@umbc.edu, Rahnemoonfar, Maryam2, Maryam@lehigh.edu, Mohsenin, Tinoosh3, Tinoosh@jhu.edu
Source: ACM Transactions on Embedded Computing Systems; May2024, Vol. 23 Issue 3, p1-28, 28p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="AU" term="%22Mazumder%2C+Arnab+Neelim%22">Mazumder, Arnab Neelim</searchLink><relatesTo>1</relatesTo>, <i>arnabm1@umbc.edu</i><br /><searchLink fieldCode="AU" term="%22Safavi%2C+Farshad%22">Safavi, Farshad</searchLink><relatesTo>1</relatesTo>, <i>fsafavi@umbc.edu</i><br /><searchLink fieldCode="AU" term="%22Rahnemoonfar%2C+Maryam%22">Rahnemoonfar, Maryam</searchLink><relatesTo>2</relatesTo>, <i>Maryam@lehigh.edu</i><br /><searchLink fieldCode="AU" term="%22Mohsenin%2C+Tinoosh%22">Mohsenin, Tinoosh</searchLink><relatesTo>3</relatesTo>, <i>Tinoosh@jhu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22ACM+Transactions+on+Embedded+Computing+Systems%22">ACM Transactions on Embedded Computing Systems</searchLink>; May2024, Vol. 23 Issue 3, p1-28, 28p
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        Value: 10.1145/3623380
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        Text: English
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              Text: May2024
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