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mlsys-reproducibility

separate

Use when hardening the reproducibility of MLSys performance claims, pinning the full system layer from driver to interconnect, separating ML randomness from systems noise, choosing repetition counts and variance reporting for throughput and latency numbers, and disclosing hardware, workloads, and cost so strangers can re-measure results.

When to use

• hardening reproducibility of MLSys performance claims
• pinning the full system layer from driver to interconnect
• separating ML randomness from systems noise
• choosing repetition counts and variance reporting
• disclosing hardware, workloads, and cost
• controlling nondeterminism in experiments
• disciplining measurement harnesses
• conducting pre-submission reproducibility drills

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