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micro-artifact-evaluation

Use when preparing a MICRO artifact for post-acceptance evaluation — packaging simulators, configs, traces, and scripts so evaluators can regenerate…

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技能内容

MICRO Artifact Evaluation

MICRO runs artifact evaluation after acceptance: authors of accepted papers are

invited to submit artifacts, an Artifact Evaluation Committee reviews them, and

successful papers carry ACM badges in the proceedings. Anchors here are the MICRO

2025 AE pages (micro58/submit/artifacts.php, verified 2026-07-08); the 2026

edition's AE page and calendar are 待核实 — expect the same architecture, verify

the dates.

Badge targets and what each demands

| Badge (ACM) | Bar | Microarchitecture-specific gotcha |

|---|---|---|

| Artifact Available | Deposited on a public archival repository — Zenodo, FigShare, Dryad named in 2025 | A GitHub repo alone fails; it is not archival. Deposit a tagged snapshot, keep GitHub as the living mirror |

| Artifact Functional | Documented, complete, exercisable | Simulator builds on a clean machine — your decade of dotfiles is not in the package |

| Results Reproducible | Evaluators regenerate the paper's main claims | Simulation time is the enemy: full SPEC runs take days-weeks; provide a subset path |

Papers passing AE also earned, in 2025, the right to a **two-page artifact

appendix in the camera-ready, free of charge** — reproduction instructions

published with the paper.

The time-budget problem is the design problem

A MICRO artifact's hardest constraint is that cycle-level simulation is slow and

evaluators have finite weeks. Design three nested entry points:

make smoke      # ~30 min: one workload region, one config — proves the plumbing
make key        # ~1 day:  the headline figure (Fig. 3) on a representative subset
make full       # ~1 week: every figure, every sweep — for the determined evaluator

Document expected runtime and disk for each. State which paper claims each tier

supports. An evaluator who finishes make key in a day and sees Fig. 3 appear is

an evaluator who awards the badge.

Package inventory

  • Top-level README: paper title, badge targets, the three entry points, a

figure-to-command map ("Fig. 5 ⇐ make fig5, ~6 h"), hardware/software

requirements (the 2025 process asked for these to route artifacts to suitable

evaluators).

  • Environment capture: container image or pinned build script for the

simulator toolchain; host assumptions stated (cores, RAM — parallel sims are

memory-hungry).

  • Everything micro-reproducibility pinned: simulator commit + patches,

config files for baseline/mechanism/ablations, manifests, plotting scripts.

  • Raw stats for the paper's figures, so evaluators can verify plots even

before re-simulating — this alone often satisfies partial reproduction.

Licensed and unshippable inputs

  • SPEC CPU binaries/inputs cannot be redistributed. Ship the trace-generation

recipe (tool version, SimPoint parameters, flags) plus, where licensing allows,

the derived traces; otherwise document how an evaluator with a SPEC license

regenerates them, and rest the Reproducible claim on shippable workloads.

  • Proprietary RTL or PDK data (synthesis libraries are NDA'd): report the flow

and constraints, mark the RTL numbers as not independently reproducible, and

scope the badge request to the simulation results. Honest scoping beats a

failed evaluation.

  • FPGA/silicon dependencies: offer remote access if institutionally possible,

or pre-recorded measurement logs with the analysis scripts.

Common failure modes, ranked by frequency of pain

| Failure | Root cause | Prevention |

|---|---|---|

| Build breaks on evaluator machine | Undeclared host dependency (library, kernel version, python package) | Container or lockfile; test in a fresh VM |

| Numbers regenerate but differ slightly | Simulator nondeterminism or a config drifted after paper freeze | Determinism check + tagged commit at submission (micro-reproducibility) |

| Evaluator cannot find which command makes which figure | README written for the authors, not strangers | Figure-to-command map, tested by a labmate who did not build the artifact |

| Full run exceeds the AE window | No tiering | smoke/key/full entry points with honest runtime labels |

| Licensed inputs block everything | SPEC traces shipped nowhere, no fallback | Shippable-workload subset carrying the Reproducible claim |

A dry run fixes four of the five: hand the package to someone outside the project

with only the README, and watch — silently — where they stall.

Working with evaluators

AE is collaborative, not adversarial: expect questions, fix breakage fast, and

keep a changelog of package updates during the window. Budget author-time in

August–September (the window overlaps the September 11 camera-ready in the 2026

calendar — plan both, see micro-camera-ready). The final deposit that carries

the Available badge must be the fixed package, re-uploaded to the archival

repository with a new version DOI.

Minimal artifact layout that evaluators navigate well

artifact/
├── README.md            # badges sought, 3 entry points, figure-to-command map
├── Dockerfile           # or install.sh with pinned versions
├── Makefile             # smoke / key / full targets
├── configs/             # baseline.json, mechanism.json, ablations/
├── manifests/           # one YAML per experiment batch (micro-reproducibility)
├── stats-paper/         # the raw stats behind every published figure
├── plots/               # scripts: stats -> exact paper figures
├── traces/RECIPE.md     # how to regenerate licensed traces (nothing licensed inside)
└── LIMITS.md            # known fidelity gaps; claims stay inside them

Two conventions matter more than the tree itself: the README's first screen must

answer "what do I run first and how long will it take," and nothing an evaluator

needs may require reading source code to discover. If the paper linked an

anonymized repo at submission (micro-supplementary), this layout should already

exist — AE prep is then a de-anonymization pass plus the archival deposit.

Output format

[Badge plan] Available: deposit target · Functional: yes/no · Reproducible: scoped to <claims>
[Entry points] smoke/key/full runtimes measured on clean machine: <times>
[Figure map] figures with regenerate-commands: N/M
[Unshippables] licensed inputs + documented workaround each
[Environment] container/build-script tested from scratch: yes / no
[Calendar] AE dates vs camera-ready overlap plan (2026 dates 待核实)

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