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Robust evaluation of GPU compute instances for HPC and AI in the cloud: a TOPSIS approach with sensitivity, bootstrapping, and non-parametric analysis.

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Title: Robust evaluation of GPU compute instances for HPC and AI in the cloud: a TOPSIS approach with sensitivity, bootstrapping, and non-parametric analysis.
Authors: Kumar, Mandeep1,2, themandeepkumar@gmail.com, Kaur, Gagandeep1, Rana, Prashant Singh3
Source: Computing; Dec2024, Vol. 106 Issue 12, p3987-4014, 28p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180735231
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PubType: Academic Journal
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  Data: Robust evaluation of GPU compute instances for HPC and AI in the cloud: a TOPSIS approach with sensitivity, bootstrapping, and non-parametric analysis.
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  Data: <searchLink fieldCode="JN" term="%22Computing%22">Computing</searchLink>; Dec2024, Vol. 106 Issue 12, p3987-4014, 28p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180735231
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      – Type: doi
        Value: 10.1007/s00607-024-01342-6
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      – Code: eng
        Text: English
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        PageCount: 28
        StartPage: 3987
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      – TitleFull: Robust evaluation of GPU compute instances for HPC and AI in the cloud: a TOPSIS approach with sensitivity, bootstrapping, and non-parametric analysis.
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            NameFull: Kumar, Mandeep
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              Text: Dec2024
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              Y: 2024
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