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Optimizing HPC scheduling: a hierarchical reinforcement learning approach for intelligent job selection and allocation.

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Title: Optimizing HPC scheduling: a hierarchical reinforcement learning approach for intelligent job selection and allocation.
Authors: Wang, Lingfei1, lingfeiw@student.unimelb.edu.au, Rodriguez, Maria A.1, marodriguez@unimelb.edu.au, Lipovetzky, Nir1, nir.lipovetzky@unimelb.edu.au
Source: Journal of Supercomputing; Jun2025, Vol. 81 Issue 8, p1-32, 32p
Database: Applied Science & Technology Source
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      – Type: doi
        Value: 10.1007/s11227-025-07396-3
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      – Code: eng
        Text: English
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        PageCount: 32
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      – TitleFull: Optimizing HPC scheduling: a hierarchical reinforcement learning approach for intelligent job selection and allocation.
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            NameFull: Wang, Lingfei
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            NameFull: Rodriguez, Maria A.
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              Text: Jun2025
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              Y: 2025
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              Value: 81
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              Value: 8
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