---
格式版本: 2
标题: "Reproducibility Initiative • SC26"
原文链接: "https://sc26.supercomputing.org/program/papers/reproducibility-initiative/"
发布日期: "2026-09-04"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "llm:local:strict_original_body"
发布时间证据: "Published Time: Fri, 04 Sep 2026 12:03:57 GMT"
发布时间校准原因: "正文中明确标注发布时间，符合发布时间判定优先级；其他日期为录制时间非发布时间。"
发布时间校准置信度: "1"
发布时间候选数量: 7
发布时间严格候选数量: 2
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-09-04T20:04:03+08:00"
发布时间仲裁状态: "confirmed"
发布时间仲裁尝试次数: 1
发布时间仲裁耗时毫秒: 3294
发现时间: "2026-09-04T20:03:39+08:00"
入库时间: "2026-09-04T12:04:07.167Z"
来源平台: "SC 大会搜索"
搜索渠道: "source_template"
搜索词: "https://sc26.supercomputing.org/?s=AI%20Rack"
匹配关键词:
  - "AI Rack"
  - "AI"
  - "Immersion"
相关厂家:
  []
相关专家:
  []
内容类型: "网页"
抓取工具: "Jina Reader"
清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取"
原始附件:
  []
AI优质: "否"
AI打分: 29
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "正文主线为SC26会议论文可重复性倡议，介绍AD/AE附录流程、徽章和Chameleon Cloud协作，属于学术会议组织流程，不讨论超节点、AI Rack或机架级基础设施，无新架构、产品、标准、量产或部署事实，不命中任何高价值准入通道，且命中主题不相关否决。"
AI质检模型: "zj-deepseek-v4-flash"
AI质检时间: "2026-09-04T21:13:42+08:00"
AI主题相关性: 2
AI来源权威性: 12
AI新颖性: 5
AI技术细节: 2
AI商业部署信号: 0
AI完整性: 8
AI评分提示词版本: "v17-精简生产版"
AI评分提示词SHA256: "48fb9777f386026761b4873eaff30807694fb11e9b352d7c69bf2dfde750cc7d"
AI评分知识库版本: "knowledge_base_v1-20260819+runtime.89"
AI评分知识库SHA256: "ff54e1479f3e5fb41037cb816bc8f6bdc83e7bcfa466d5fcf32f781220de91c7"
AI评分知识库检索词: "[\"AI Rack\",\"https://sc26.supercomputing.org/?s=AI%20Rack\",\"RAS\",\"SC26\",\"URL\",\"GMT\",\"sc26.supercomputing.org/all-dates-deadlines\",\"sc26.supercomputing.org\",\"sc26.supercomputing.org/program\",\"sc26.supercomputing.org/program/papers\",\"SC\",\"sc26.supercomputing.org/community-engagement\"]"
AI评分知识库命中: "[{\"id\":\"july-correct-0124\",\"title\":\"从48V:1V到800V:1V，下一代AI服务器电源技术的深度拆解\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"GMT\",\"SC\"],\"rank\":-9.246411066140249},{\"id\":\"runtime-7aadc05d024a3a525d014ae9\",\"title\":\"MTIA 300: Meta’s First Training Chip with Built-in NICs and Communication-Offloading Engines\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-24\",\"matchedTerms\":[\"RAS\",\"SC26\",\"URL\",\"sc26.supercomputing.org\",\"SC\"],\"rank\":-8.28229509980505},{\"id\":\"july-correct-0012\",\"title\":\"Microsoft to deploy AMD Helios rackscale solution to support inference workloads and Azure services\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"AI Rack\",\"RAS\",\"URL\",\"SC\"],\"rank\":-7.659949683460855},{\"id\":\"historical-jun-042\",\"title\":\"AI Rack/机柜级超节点架构，详细列出Vera Rubin/GB200 NVL72规格、NVLink 6互连、HBM3e、液冷与供电设计，具备明确的产品化与\",\"sourceType\":\"curated_item\",\"time\":\"2026-06\",\"matchedTerms\":[\"AI Rack\"],\"rank\":-7.229146973554366},{\"id\":\"july-correct-0062\",\"title\":\"Why AI Racks Need an Open Signal Conditioning Standard\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"AI Rack\",\"RAS\",\"URL\",\"SC\"],\"rank\":-6.6537510023020285}]"
采集批次: "2026年9月4日19点09分47秒"
采集批次ID: "20260904-190947-e38cdb0b"
去重键: "https://sc26.supercomputing.org/program/papers/reproducibility-initiative"
---

Title: Reproducibility Initiative • SC26

URL Source: https://sc26.supercomputing.org/program/papers/reproducibility-initiative/

Published Time: Fri, 04 Sep 2026 12:03:57 GMT

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[Home](https://sc26.supercomputing.org/)[Program](https://sc26.supercomputing.org/program/)[Papers](https://sc26.supercomputing.org/program/papers/)Reproducibility Initiative

# Reproducibility Initiative

![Image 2: hero scape](https://sc26.supercomputing.org/wp-content/uploads/2026/04/hero_scape_02-1024x455.png)

SC has been a leader in tangible progress towards scientific rigor, through its pioneering practice of enhanced reproducibility of accepted papers. This year’s initiative builds on this success by continuing the practice of using appendices to enhance scientific rigor and transparency.

**Reproducibility Co-Chairs**

Jean Luca Bez, Lawrence Berkeley National Laboratory (LBNL)

Jennifer Green, Sandia National Laboratories

**Reproducibility Co-Vice Chairs**

Rocío Carratalá-Sáez, Universitat de València

Anna Pietarila Graham, Los Alamos National Laboratory

## Impact on Papers

**The Reproducibility Initiative impacts technical papers, their submission, and peer review in the following ways:**

The Artifact Description (AD) Appendix will be auto-generated from author responses to a standard form embedded in the online submission system. It will have greater emphasis on linking to the broader products resulting from research. The AD is mandatory but an indication that no artifacts were created or used is acceptable (e.g., proprietary reasons prevent the AD to be submitted).

For accepted papers, we will evaluate and reward the availability and functionality of artifacts supporting automated reproducibility, so that reviewers can easily replicate a paper’s key results and claims with provided artifacts. While authors are strongly encouraged to make all artifacts publicly available, AE is open to artifacts that are not. Accepted papers with available artifacts will be honored with the appropriate ACM badges.

## AD/AE Appendix Form

### Its role in a paper & its review

All manuscripts submitted to the SC Technical Papers program must contain an AD Appendix. The AD Appendix describes the significant research products and other evidence needed for greater scientific rigor and transparency of the scientific conclusions of the manuscript. If a manuscript’s scientific findings have no significant supporting research products or require no additional evidence in support of its scientific conclusions, the AD Appendix can easily be generated to reflect this fact. That is, the AD form is mandatory but the author makes the determination whether additional evidence is needed for their particular scientific contribution.

The AE Appendix is optional, but authors are strongly encouraged to provide AE resources and workflows that reviewers can easily evaluate for availability, functionality, and their support for claimed key results. For this, authors should provide easy access to artifacts, precise description of the environment needed for reproducibility in the AD, a clear description of ways for easy creation of this environment (such as small list of required software packages, container image or similar), and a straight-forward way to trigger the automated reproducibility process (shell script or Makefile). Even though the AD/AE review process strongly encourages publicly available artifacts, it is open to artifacts that are not.

Role of AD/AE Appendix during review: Submissions to SC undergo a dual-anonymous review. SC Papers Committee (PC) reviewers will have only the information in the AD/AE form available to them that does not compromise the dual-anonymous protection.

The AD/AE review criteria are posted as part of[AD/AE Appendix Process & Badges](https://sc26.supercomputing.org/reproducibility-appendices-badges/). The AE badges are the rubric as to how far an artifact has gone along in the reproducibility spectrum ([see description of the badges](https://sc26.supercomputing.org/program/papers/reproducibility-appendices-badges/#description)).

* * *

**Additional Notes to Authors**

The online submission form accommodates both Artifact Description (required) and Artifact Evaluation (optional, but recommended).

The appendices are intended for supplemental material only. Specifically, the research or experimental methodology is critical to understanding the scientific contribution so must be included in the body of the paper.

Please contact us with your questions:

[contact us](https://sc26.supercomputing.org/contact-us/?topic=Papers:%20AD/AE%20Appendices)

## AD/AE Appendix Process & Badges

The goal of the SC Reproducibility Committee is to encourage and promote reproducible research within the SC community. To that end, the Committee aims to assist SC authors in providing the necessary documentation describing the artifact and how it is able to be evaluated, in order to assign a badge.

For full details on the AD/AE process including AD/AE criteria, submission timeline, a description of artifact badges, and tips on organizing your research object see:

[AD/AE process & Badges](https://sc26.supercomputing.org/reproducibility-appendices-badges/)

## Infrastructure for Artifact Evaluation

### Facilitating Artifact Sharing

Authors of accepted papers who applied for artifact badges require infrastructure to share their artifacts with the AD/AE Committee for review. To facilitate artifact sharing, the Reproducibility Initiative is collaborating with[Chameleon Cloud](https://www.chameleoncloud.org/) to provide such an infrastructure. Authors of submitted papers will be able to prepare their artifacts so that if their submissions get accepted, the AD/AE Committee can perform single-anonymous reviews of their artifact badge applications.

[Video 1](https://www.youtube.com/watch?v=-7vLq3wo2vc)

**Introducing the Chameleon Cloud Platform**

The Chameleon Cloud staff hosted a webinar to introduce the platform to authors of accepted papers.

Recorded Thursday, 2 July 2026

## SC Reproducibility Subcommittees

### AD/AE Appendices

**Subcommittee Tasks**

*   Manage and/or develop reproducibility FAQ and other resources as aid to authors during submission. Could include one-on-one assistance with prospective authors;
*   Develop and publicly release a rubric for reviewing appendices. This release will occur prior to the paper submission deadline;
*   Review the appendices of submitted papers according to the rubric. Provide a justified assessment to the PC who will incorporate this recommendation into their final determination;
*   Nominate Best Reproducibility Advancement Award finalists and select the winner. See the Best Reproducibility Advancement Award page for details.

### Reproducibility Challenge

**Subcommittee Tasks**

*   Select a paper accepted to the previous conference to be used as source of the Reproducibility Challenge in the Student Cluster Competition (SCC) of the next conference;
*   Work with the authors of the selected paper to build the challenge benchmark for the SCC teams;
*   Continue working until the time of the conference in crafting the rules and requirements for the challenge, and ensure compatibility with the diverse hardware used by the SCC teams;
*   Convene a subgroup to collect publish-quality reports from each student team who participated in the reproducibility challenge of SCC. The reports in this collection will have a citable DOI and be made available through an archive venue.

## History

## 2022–2015

### 2022

The Reproducibility Initiative Committee instituted a two-week interval between the deadlines for paper and artifact descriptions submissions. This measure was designed to allow for a more thorough and high-quality description of the reproducibility of their research. The committee also advocated for the use of containers to simplify the reproducibility process. For the Reproducibility Advancement Award, presentations were evaluated with the AD/AE, with authors outlining their research’s reproducibility in their slides.

### 2021

Paper authors applied for up to three reproducibility badges (available, functional, reproducible). SC collaborated with NSF Cloud infrastructure providers for preparing and examining artifacts. Accepted papers were listed with their badges in the program Schedule. The SC Steering Committee approved the SC Best Reproducibility Advancement Award and members of the technical program and the reproducibility initiative committees selected an Award winner.

### 2020

SC expanded the Initiative to transparency and reproducibility to reflect scientific rigor through disclosure particularly in research involving AI. The AD Appendix was streamlined for reduced researcher burden and to align with open science principles. An additional track undertook a formal survey of community sentiment about SC reproducibility with the objective of publishable results. The majority of survey participants who went through the AD/AE Appendices process expressed that they now think differently about theirs and others’ research after having gone through the process.

### 2019

AD Appendices were mandatory for all submissions. AE Appendices were still optional, and both were submitted via a standard form in the conference submission system. Three new Technical Program tracks, with their respective committees and chairs, were introduced in support of the SC Reproducibility Initiative.

### 2018

SC extended the option of submitting AD Appendices to Workshops and Posters. The CRA Appendix was renamed Artifact Evaluation (AE) Appendix, and limited to four pages. AD Appendices were limited to 2 pages and remained optional (but required for consideration as Best Paper/Best Student Paper, and also Best Poster/Best Student Poster).

### 2017

SC made the AD Appendix a requirement to be considered for the Best Paper or Best Student Paper awards. SC17 also introduced the Computational Results Analysis (CRA) Appendix. 40% of submitted and 50% of accepted papers included an AD appendix; nine submitted papers (six accepted) included a CRA Appendix.

### 2016

Authors submitting to the SC16 conference could optionally submit an AD Appendix: nine authors submitted one, three were finalists, and one was selected to become the source for the SC17 Student Cluster Competition Reproducibility Challenge.

### 2015

The SC steering committee approved the reproducibility initiative. Authors of SC15 papers were invited to submit an AD Appendix after the conference: one paper did so, became the source for the SC16 Student Cluster Competition Reproducibility Challenge and the first SC paper to display an ACM badge.

### 2024

The Reproducibility Initiative of SC24 built upon the strong foundation established by previous committees. Specifically, the reproducibility process remained structured into an Artifact Description phase and an Artifact Evaluation phase. A new element of the Reproducibility Initiative was the introduction of Artifact Evaluation Reports (AE Reports). These reports were written by reviewers to enhance the transparency of the badging process, explaining the rationale behind the awarding of certain badges and the reasons for not awarding others. Furthermore, these reports were published alongside the papers as supplementary material in the proceedings.

### 2023

SC improved the reproducibility process by standardizing the contents of the AD/AE appendices. The standardized content represents homogeneous structured artifact descriptions that aim to achieve a high level of quality based on an optimum degree of order or uniformity. As a consequence, both authors’ and reviewers’ productivity improves. On one hand, authors have a clearer understanding on how to describe their artifacts and, on the other hand, reviewers find more homogeneity in their role.

![Image 3: SC attendee](https://sc26.supercomputing.org/wp-content/uploads/2022/11/people-hr-17.jpg)

### [AD/AE Process & Badges](https://sc26.supercomputing.org/reproducibility-appendices-badges/)

Full details on the AD/AE process including AD/AE criteria, submission timeline, a description of artifact badges, and tips on organizing your research object.

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