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A Reproducible Benchmarking Methodology for Machine Learning Hardware: Performance–Energy Trade-Offs from GPUs to Apple Silicon.

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Title: A Reproducible Benchmarking Methodology for Machine Learning Hardware: Performance–Energy Trade-Offs from GPUs to Apple Silicon.
Authors: Sierra-Herrera, Oscar H.1,2 (AUTHOR), Niño, Mario Eduardo González2,3 (AUTHOR), Correa, Edwin Francis Cárdenas3,4 (AUTHOR), Leon-Medina, Jersson X.4 (AUTHOR), Pozo, Francesc3,5 (AUTHOR) francesc.pozo@upc.edu
Source: Algorithms. May2026, Vol. 19 Issue 5, p363. 41p.
Database: Academic Search Ultimate
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  Data: A Reproducible Benchmarking Methodology for Machine Learning Hardware: Performance–Energy Trade-Offs from GPUs to Apple Silicon.
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  Data: <searchLink fieldCode="JN" term="%22Algorithms%22">Algorithms</searchLink>. May2026, Vol. 19 Issue 5, p363. 41p.
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        Text: English
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              Text: May2026
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              Y: 2026
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