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isca-experiments
Use when designing or auditing the evaluation of an ISCA paper — pinning simulator fidelity to the claims it must carry, documenting gem5-class configurations and sampling choices, selecting workload suites that represent the claim's domain, tuning baselines in good faith, and separating architectural effect from modeling artifact.
ISCA-Skills/skills/isca-experiments/SKILL.md
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# ISCA Experiments
Most ISCA evaluations run on models of machines rather than machines, so the
evaluation section is really two nested arguments: that the *modeled* effect is
real, and that the *model* deserves trust for this effect. Reviewers at this venue
are professionally skeptical about the second argument, and papers die on it more
often than on the first. Everything below serves one rule: **the paper must state
what its numbers are made of.**
## Declare the methodology contract
Early in the methodology section, answer four questions explicitly — this is the
contract reviewers try to reconstruct when authors omit it: