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Archiving Scientific Simulation Results
isca-reproducibility
brycewang-stanford/Awesome-Journal-Skills
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A comprehensive guide on achieving scientific reproducibility for complex computer architecture and system simulations. It details how to manage and pin all dependencies—including simulator commit hashes, local patches, workload binaries, hardware states, and post-processing scripts—to ensure that every reported figure and number can be accurately regenerated, regardless of time or environment changes.
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