--- 格式版本: 2 标题: "AD/AE Appendices • SC26" 原文链接: "https://sc26.supercomputing.org/program/papers/ad-ae-appendices/" 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: "rule:local:strict_original_body" 发布时间证据: "Published Time: Fri, 04 Sep 2026 12:04:18 GMT" 发布时间校准原因: "规则确认唯一严格发布时间，来源 local:strict_original_body" 发布时间校准置信度: "high" 发布时间候选数量: 4 发布时间严格候选数量: 1 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: "2026-09-04T20:04:27+08:00" 发布时间仲裁状态: "skipped" 发布时间仲裁尝试次数: 0 发布时间仲裁耗时毫秒: 0 发现时间: "2026-09-04T20:03:39+08:00" 入库时间: "2026-09-04T12:04:27.349Z" 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" - "deployment" - "GPU" 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: 24 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会议论文的AD/AE附录写作指南和模板，属学术会议流程说明，不讨论超节点、AI Rack、机柜级系统或关键部件，无任何相关技术、客户、部署或标准信息。来源为SC官方权威性较高，但主题完全无关，无新增事实，不满足任何准入通道，命中主题相关性硬否决。" AI质检模型: "zj-deepseek-v4-flash" AI质检时间: "2026-09-04T21:13:27+08:00" AI主题相关性: 1 AI来源权威性: 12 AI新颖性: 2 AI技术细节: 1 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\",\"NPU\",\"GPU\",\"AD/AE\",\"SC26\",\"URL\",\"GMT\",\"sc26.supercomputing.org/all-dates-deadlines\",\"sc26.supercomputing.org\",\"sc26.supercomputing.org/program\",\"sc26.supercomputing.org/program/papers\"]" AI评分知识库命中: "[{\"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\":[\"GPU\",\"SC26\",\"URL\",\"sc26.supercomputing.org\"],\"rank\":-8.96025206999902},{\"id\":\"july-correct-0088\",\"title\":\"StrataCL: Fabric-Native Communication Library for Production Supernodes - 智源社区论文\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NPU\",\"URL\"],\"rank\":-8.729966807990216},{\"id\":\"july-correct-0111\",\"title\":\"StrataCL: Fabric-Native Communication Library for Production Supernodes\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NPU\",\"URL\"],\"rank\":-8.193120170884304},{\"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\",\"GPU\",\"URL\"],\"rank\":-7.659949683460855},{\"id\":\"july-correct-0062\",\"title\":\"Why AI Racks Need an Open Signal Conditioning Standard\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"AI Rack\",\"GPU\",\"URL\"],\"rank\":-7.251188181648372}]" 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/ad-ae-appendices" --- Title: AD/AE Appendices • SC26 URL Source: https://sc26.supercomputing.org/program/papers/ad-ae-appendices/ Published Time: Fri, 04 Sep 2026 12:04:18 GMT Markdown Content: [Skip to main content](https://sc26.supercomputing.org/program/papers/ad-ae-appendices/#content) * [Dates & Deadlines](https://sc26.supercomputing.org/all-dates-deadlines/) * [Volunteer](https://sc26.supercomputing.org/community-engagement/volunteer/) * [Contact Us](https://sc26.supercomputing.org/contact-us/) [![Image 1: SC26 logo](https://sc26.supercomputing.org/wp-content/uploads/2025/10/sc26_headerlogo_02.svg)](https://sc26.supercomputing.org/) Toggle navigation Toggle navigation * 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[SC26 Reproducibility Github](https://github.com/jennfshr/sc26-repro) ## AD Appendix _The AD Appendix should contain the following two parts:_ * * * ### Part 1: Overview of Contributions & Artifacts **A. Paper’s Main Contributions** Provide a list of paper’s contributions for which computational artifacts are created. **B. Computational Artifacts** Provide a table with the relevant computational artifacts, highlight their relation to the contributions (from above) and point to the elements in the paper that will be reproduced (figures, tables). * * * ### Part 2: Artifact Identification _For each computational artifact, provide the following information:_ **A. Relation to Contributions** Briefly explain the relationship between the artifact and contributions. **B. Expected Results** * Clearly state what the expected result should be after reproducing the artifact. * Provide an explanation of how the results substantiate the main contributions. **C. Expected Reproduction Time (in minutes)** Estimate the time required to reproduce the artifact, providing separate estimates for the individual steps: Artifact Setup, Artifact Execution, and Artifact Analysis. **D. Artifact Setup** _Hardware_ Specify the hardware requirements and dependencies (e.g., a specific interconnect or GPU type is required). _Software_ Introduce all required software packages, including the computational artifact. For each software package, specify the version and provide the URL. _Datasets/Input_ Describe the datasets required by the artifact. Indicate whether the datasets can be generated, including instructions, or if they are available for download, providing the corresponding URL. _Installation & Deployment_ Detail the requirements for compiling, deploying, and executing the experiments, including necessary compilers and their versions. **E. Artifact Evaluation** * Provide an abstract description of the experiment workflow of the artifact. It is important to identify the main tasks (processes) and how they depend on each other. * A workflow may consist of three tasks: T1, T2, and T3. The task T1 may generate a specific dataset. This dataset is then used as input by a computational task T2, and the output of T2 is processed by another task T3, which produces the final results (e.g., plots, tables, etc.). State the individual tasks Ti and provide their dependencies, e.g., T1 -> T2 -> T3. * Provide details on the experimental parameters. How and why were parameters set to a specific value (if relevant for the reproduction of an artifact), e.g., size of dataset, number of data points, input sizes, etc. Additionally, include details on statistical parameters, like the number of repetitions. **F. Artifact Analysis** Outline the general data analysis process, where raw experimental results are often processed further to yield the final experimental outcomes, such as plots. Briefly detail the data processing steps involved at this stage. ## AE Appendix The AE Appendix’s objective is to enable other researchers and reviewers to replicate the findings presented by the computational artifacts. The AD Appendix comprehensively details the required software and hardware for result reproduction. The AE Appendix’s distinct role is to elucidate how to compile, operate, and analyze the components specified in the AD Appendix. In other words, while the AD Appendix introduces and details the fundamental components of the computational artifacts, the AE Appendix offers detailed guidelines for constructing, executing, and analyzing these artifacts. _The authors should provide the following information for each computational artifact defined in the AD Appendix:_ **A. Artifact Setup** * Provide instructions for installing and compiling libraries and code. * Offer guidelines on deploying the code to resources. **B. Artifact Execution** * Describe the experiment workflow. * If encapsulated within a workflow description or equivalent (such as a makefile or script), clearly outline the primary tasks and their interdependencies. Detail the main steps in the workflow. Merely instructing to “Run script.sh” is inadequate. **C. Artifact Analysis** * Provide a description of the expected results and a methodology for evaluating these results. * Explain how the expected results from the experiment workflow correlate with the contributions stated in the article. * For example, if the article presents results in a figure, the artifact evaluation should also produce a similar figure, depicting the same generalizable outcome. Authors must focus on these aspects to reduce the time required for others to understand and verify an artifact. ![Image 3: papers](https://sc26.supercomputing.org/wp-content/uploads/2023/11/papers_top.jpg) ### [AD/AE PRocess & Badges](https://sc26.supercomputing.org/reproducibility-appendices-badges/) Our aim is to aid SC authors in submitting the required documentation describing their artifact, facilitating our evaluation and subsequent badge assignment for the artifact. ![Image 4: SC26 logo](https://sc26.supercomputing.org/wp-content/uploads/2025/10/footer_logo.svg) * [SC26 Planning Committee](https://sc26.supercomputing.org/community-engagement/planning-committee/) * [SC Steering Committee](https://sc26.supercomputing.org/sc-steering-committee/) * [SC Conference Series](http://supercomputing.org/) * * * [CODE OF CONDUCT](https://sc26.supercomputing.org/code-of-conduct) [IEEE PRIVACY POLICY](https://www.ieee.org/security-privacy.html) [ACM PRIVACY POLICY](https://www.acm.org/about-acm/privacy-policy) [](https://www.facebook.com/SCconferences)[](https://twitter.com/SuperComputing)[](https://www.linkedin.com/company/sc-conference/)[](https://www.youtube.com/user/SCconferenceseries)[](https://www.instagram.com/sc_conference/)[](https://sc26.supercomputing.org/feed) ![Image 5: sponsored by](https://sc26.supercomputing.org/wp-content/uploads/2026/02/sponsored_by_100.svg) [![Image 6: IEEE-CS 80th logo](https://sc26.supercomputing.org/wp-content/uploads/2026/02/ieee_80.svg)](https://www.computer.org/) [![Image 7: TCHPC logo](https://sc26.supercomputing.org/wp-content/uploads/2026/02/tchpc_white.svg)](https://tc.computer.org/tchpc/) [![Image 8: ACM logo](https://sc26.supercomputing.org/wp-content/uploads/2026/02/acm_white.svg)](https://www.acm.org/) ![Image 9: SIGHPC logo](https://sc26.supercomputing.org/wp-content/uploads/2023/06/sigArtboard-1@4x.png) [Back To Top Button](https://sc26.supercomputing.org/program/papers/ad-ae-appendices/#top)