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autotuning-methodology


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Author: None
Summary: Software package easing implementation of the guidelines of the 2024 paper 'A Methodology for Comparing Auto-Tuning Optimization Algorithms' (https://doi.org/10.1016/j.future.2024.05.021). The DOI of this software is https://doi.org/10.5281/zenodo.11243974.
Latest version: 1.1.0
Required dependencies: jsonschema | kernel_tuner | matplotlib | nonconformist | numpy | progressbar2 | scikit-learn | scipy | yappi
Optional dependencies: black | crepes | nox | pep440 | pylint | pytest | pytest-cov | ruff | sphinx | sphinx-pyproject | sphinx_rtd_theme | tomli

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