Academic Journal

OKEAP: A framework for OpenCL kernels execution time prediction with adaptive machine learning techniques.

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Τίτλος: OKEAP: A framework for OpenCL kernels execution time prediction with adaptive machine learning techniques.
Συγγραφείς: Hamolia, Vladyslav1 (AUTHOR), Melnyk, Viktor1,2 (AUTHOR) viktor.melnyk@kul.pl
Πηγή: Parallel Computing. Sep2026, Vol. 129, pN.PAG-N.PAG. 1p.
Θεματικοί όροι: *OpenCL (Computer program language), *Machine learning
Βάση Δεδομένων: Academic Search Index
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  – Url: https://www.doi.org/10.1016/j.parco.2026.103211?
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.parco.2026.103211
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – SubjectFull: OpenCL (Computer program language)
        Type: general
      – SubjectFull: Machine learning
        Type: general
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      – TitleFull: OKEAP: A framework for OpenCL kernels execution time prediction with adaptive machine learning techniques.
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          Name:
            NameFull: Hamolia, Vladyslav
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            NameFull: Melnyk, Viktor
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            – D: 01
              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
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            – Type: issn-print
              Value: 01678191
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              Value: 129
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            – TitleFull: Parallel Computing
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