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Repeatable benchmarks require tuning the machine for lower run-to-run noise

david.alvarezrosa.com 5 min read Editor score 7/10

A benchmark example measures short bursts of array sums with idle gaps, then tunes the machine and remeasures to reduce variability; the piece distinguishes repeatability from maximizing production speed. The method helps engineers avoid mistaking measurement noise for an optimization.

What

Tuning a server for benchmarking reduces run-to-run noise so small code changes can be measured reliably.

How

The example's untuned runs had a 2.72% coefficient of variation; core placement and hardware topology affect timing.

Why it matters

Repeatable measurements help engineers distinguish optimization gains from machine noise; benchmark tuning may trade peak speed.

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