--- 格式版本: 2 标题: "SC Illuminations • SC26" 原文链接: "https://sc26.supercomputing.org/community-engagement/sc-illuminations/" 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 12:06:10 GMT" 发布时间校准原因: "正文明确标注Published Time，是文章发布时间，优先于其他候选。" 发布时间校准置信度: "1" 发布时间候选数量: 12 发布时间严格候选数量: 3 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: "2026-09-04T22:06:39+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: 2497 发现时间: "2026-09-04T22:03:54+08:00" 入库时间: "2026-09-04T14:06:41.606Z" 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" - "performance" 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: 23 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "正文主线是SC26会议社区活动SC Illuminations的征稿/申请说明，与超节点、AI Rack、机架级AI基础设施无直接关系；来源为官方会议网站，但无任何技术规格、产品、客户、量产或部署信息；没有历史新增事实，属于会议行政通告，未命中任何高价值准入通道，按低相关/无信息含量处理。" AI质检模型: "zj-deepseek-v4-flash" AI质检时间: "2026-09-04T22:06:51+08:00" AI主题相关性: 3 AI来源权威性: 8 AI新颖性: 4 AI技术细节: 0 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\",\"GPU\",\"Meta\",\"SC\",\"SC26\",\"URL\",\"GMT\",\"sc26.supercomputing.org/all-dates-deadlines\",\"sc26.supercomputing.org\",\"sc26.supercomputing.org/community-engagement\"]" 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\":[\"RAS\",\"GPU\",\"Meta\",\"SC\",\"SC26\",\"URL\",\"sc26.supercomputing.org\"],\"rank\":-13.952114532590395},{\"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\":[\"GPU\",\"SC\",\"GMT\"],\"rank\":-9.685309164547286},{\"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\",\"GPU\",\"SC\",\"URL\"],\"rank\":-7.659949683460855},{\"id\":\"july-correct-0020\",\"title\":\"NVIDIA Vera Rubin：引領代理 AI 的時代\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"RAS\",\"GPU\",\"Meta\",\"SC\"],\"rank\":-7.309455155794536},{\"id\":\"july-correct-0062\",\"title\":\"Why AI Racks Need an Open Signal Conditioning Standard\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"AI Rack\",\"RAS\",\"GPU\",\"SC\",\"URL\"],\"rank\":-7.251188181648372}]" 采集批次: "2026年9月4日21点16分50秒" 采集批次ID: "20260904-211650-d3777cfe" 去重键: "https://sc26.supercomputing.org/community-engagement/sc-illuminations" --- Title: SC Illuminations • SC26 URL Source: https://sc26.supercomputing.org/community-engagement/sc-illuminations/ Published Time: Fri, 04 Sep 2026 12:06:10 GMT Markdown Content: [Skip to main content](https://sc26.supercomputing.org/community-engagement/sc-illuminations/#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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The program provides a platform for HPC researchers and technologists to share innovative software or hardware, new discoveries, or exciting technical content with the SC community. SC hopes this initiative will attract content that would otherwise go unseen, and that it will foster quality discussions and interactions as part of a larger effort to better highlight the breadth and depth of the HPC community. ### Who Should Apply? * * * This opportunity provides a dedicated time slot at the SC Theater on the SC exhibit floor for up to 24 research teams or institutions that lack the resources to present their work at SC through the usual conference elements. ### Committee * * * **SC Illuminations Chair**Tim Osborne, Oak Ridge National Laboratory (ORNL) Interesting in participation? See full application details below. ## The Benefits ![Image 4: sc theater speaker](https://sc26.supercomputing.org/wp-content/uploads/2026/04/sc_theater-1024x640.jpg) ### Quality Discussions and Interactions Participating organizations may showcase technical material, presentations, and demos during their live presentation at the SC Theater. Each SC Illuminations presentation will be advertised to the SC community in advance and during the conference to encourage attendee participation. ## Application Requirements **20 APR 2026** Applications Open **31 AUG 2026** Full Consideration Deadline* *Applications received after August 31 will be considered if any of the 24 allotted spaces remain unfilled. ## areas/Tracks **1. Algorithms** The development, evaluation, and optimization of scalable, general-purpose, high performance algorithms. **Topics include:** * Algorithms for discrete and combinatorial optimization * Algorithms for hybrid and heterogeneous systems with accelerators * Algorithms for numerical methods and algebraic systems * Data-intensive parallel algorithms * Energy- and power-efficient algorithms * Fault-tolerant algorithms * Graph and network algorithms * Load balancing and scheduling algorithms * Machine learning algorithms * Uncertainty quantification methods * Other high performance computing algorithms **2. Applications** The development and enhancement of algorithms, parallel implementations, models, software and problem solving environments for specific applications that require high performance resources. **Topics include:** * Bioinformatics and computational biology * Computational earth and atmospheric sciences * Computational materials science and engineering * Computational astrophysics/astronomy, chemistry, and physics * Computational fluid dynamics and mechanics * Computation and data enabled social science * Computational design optimization for aerospace, energy, manufacturing, and industrial applications * Computational medicine and bioengineering * Irregular applications including graphs, network science, and text/pattern matching * Improved models, algorithms, performance or scalability of specific applications and respective software * Use of uncertainty quantification, statistical, and machine-learning techniques to improve a specific HPC application * Other high performance applications * * * **3. Architecture & Networks** All aspects of high performance hardware including the optimization and evaluation of processors and networks. **Topics include:** * Hardware/software co-design for HPC * Hardware support for programming languages or software development * Architectures for extreme heterogeneity or HPC/Quantum hybrids or HPC/Edge hybrids * HPC interconnects: topology, switch architecture, optical networks, software-defined networks, programmable networks * Network protocols for HPC, quality of service, congestion control, collective communication, offloading * I/O architecture/hardware and emerging storage technologies * Memory Systems & Architectures: caches, memory technology, non-volatile memory, coherence, translation * Multi-processor architecture and micro-architecture (e.g., reconfigurable, vector, stream, dataflow, GPUs, and custom/novel architecture) * Design-space exploration / performance projection for future systems * Evaluation and measurement on testbed or production hardware systems * Power-efficient design and power-management strategies * Resilience, error correction,high availability architectures * Secure architectures, side-channel attacks and mitigations for HPC **4. Data Analytics, Visualization, & Storage** All aspects of data analytics, visualization, storage, and storage I/O related to HPC systems, Submissions on work done at scale are highly favored. Further, submissions having a component focusing on the “Art of HPC” are appreciated. **Topics include:** * Data analytics, visualization, and storage for HPC systems * Cloud-based analytics and scalable databases * Large-scale data mining, analysis, and visualization * Data reduction/compression * Data integration workflows and design and performance of data-centric workflows * I/O performance tuning and middleware * In situ data processing and visualization * Next-generation storage systems * Parallel storage systems (file, object, key-value, etc.) * Provenance, metadata, and data management * Reliability and fault tolerance in HPC storage * Storage tiering (on-premise and cloud) * Storage innovations using machine learning * Storage networks and scalable cloud solutions * Visual analytics for supercomputing systems, application monitoring, and machine learning model interpretation and tuning at scale * * * **5. HPC for Machine Learning** The development and enhancement of algorithms, systems, and software for scalable machine learning utilizing high performance computing technology. This area is primarily addressing the use of HPC to improve ML rather than the use of ML to improve any technology covered by other areas. It is particularly designed for papers that have a strong ML component and that need to be evaluated by ML experts. Papers addressing the latter should be submitted to the respective areas. **Topics include:** * HPC for ML * Parallel and distributed learning algorithms * Hardware-efficient training and inference * Model, pipeline, and data parallelism * Accelerated computing for ML * Large-scale data processing for ML * Performance modeling and analysis of ML applications * Scalable optimization methods for ML * Scalable hyperparameter tuning and optimization * Scalable neural architecture search * Model deployment and inference at scale * Systems, compilers, and languages for ML at scale **6. Performance Measurement, Modeling, & Tools** Novel methods and tools for measuring, evaluating, and/or analyzing performance for large-scale systems. **Topics include:** * Analysis, modeling, or simulation methods for performance * Methodologies, metrics, and formalisms for performance analysis and tools * Novel and broadly applicable performance optimization techniques * Performance studies of HPC hardware and software subsystems such as processor, network, memory, accelerators, and storage * Scalable tools and instrumentation infrastructure for measurement, monitoring, and/or visualization of performance * System-design tradeoffs between performance and other metrics (e.g., performance and resilience, performance and security) * Workload characterization and benchmarking techniques * * * **7. Post-Moore & Quantum Computing** Technologies that continue HPC performance scaling beyond the limits of Moore’s law, including system architecture, use of emerging hardware in future systems, programming frameworks, system software, and applications. **Topics include:** * Hardware specialization and special-purpose computing * Taming extreme heterogeneity and improving code portability * Beyond von-Neumann computer architectures * Quantum computing * Neuromorphic and brain-inspired computing * Probabilistic, stochastic computing, approximate computing, and other unconventional methods * Novel post-CMOS device technologies and advanced packaging technologies for heterogeneous integration, evaluated at the system or application level * Superconducting digital computing * Programming models and programming paradigms for post-Moore systems * Tools for modeling, simulating, emulating, or benchmarking systems with post-Moore and post-CMOS devices or specialized hardware **8. Programming Frameworks** Compilers, programming languages, libraries, programming models, and runtime systems that enable management of hardware resources and support parallel programming for large-scale systems. **Topics include:** * Compiler analysis, optimization and code generation * Program verification, program transformation and synthesis * Parallel programming languages, libraries, models, and application frameworks * Execution models and runtime systems * Communication libraries * Programming language and compilation techniques for reducing energy and data movement * Solutions for parallel-programming challenges (e.g., interoperability, memory consistency, determinism, reproducibility, race detection) * Tools and frameworks for fault tolerance and resilience * Tools and frameworks for parallel program development (e.g., debuggers and integrated development environments) * Programming models and framework for heterogeneous systems * Programming models and runtime for future novel systems * * * **9. State of the Practice** All aspects of the pragmatic practices of HPC, including operational IT infrastructure, services, facilities, large-scale application executions and benchmarks. Papers are expected to capture experiences and ongoing practice relating to modern computing centers or HPC-related software. Papers do not need to cover novel research or developments, but they are expected to offer novel insights and lessons for HPC architects, developers, administrators, or users. **Topics include:** * Bridging of cloud data centers and supercomputing centers * Energy efficiency and carbon emission of HPC and data centers * Comparative system benchmarking over a wide spectrum of workloads * Deployment experiences of large-scale hardware and software infrastructures and facilities * Facilitation of “big data” associated with supercomputing * Infrastructural policy issues and management experiences, especially international experiences * Pragmatic resource management strategies and experiences * Monitoring and operational data analytics * Procurement, technology investment and acquisition best practices * Quantitative results of education, training, and dissemination activities * Software engineering best practices for HPC * User support experiences with large-scale and novel machines * Provenance, logistic concerns and reproducibility of data * Adoption and use of infrastructure as code paradigm * Management, support and impact of large workflows * Workload analysis, accounting and group users interactions **10. System Software & Cloud Computing** Cloud and system software architecture, configuration, optimization and evaluation, support for parallel programming on large-scale systems or building blocks for next-generation HPC architectures. **Topics include:** * Convergence of HPC, cloud, edge, and other distributed computing resources * Analysis of cost, performance, and reliability of HPC, cloud, and edge facilities * Systems that facilitate distributed applications, such as workflow systems, task-oriented systems, functions-as-a-service, and service-oriented computing * Integration and management of HPC hardware in clouds and distributed systems * Scheduling, load balancing, resource provisioning, resource management, cost efficiency, fault tolerance, and reliability for large-scale systems and clouds * Green clouds, energy efficiency, power management, carbon awareness * Approaches for enabling adaptive and elastic system software * Parallel/networked file system integration with the OS and runtime * OS and runtime system enhancements for accelerators * Runtime and OS management of complex memory hierarchies * Interactions among the OS, middleware and tools * System software for reducing energy and data movement * Self-configuration, monitoring, and introspection * Security, sharing, auditing, and identity management * Virtualization, containerization, and other technologies for isolation and portability * Case studies of scalable distributed applications that span facilities SC is accepting applications for work relevant to HPC. See the HPC Areas/Tracks above for ten examples. Special consideration will be made for applicants from small labs or research centers that are new to the SC Conference. Individuals and representatives from not-for-profit and international organizations who actively engage with the HPC community are welcome! Travel and lodging support will be available for a limited number of participants selected for the SC Illuminations program. Applications received after July 19 will be considered if any of the 24 allotted spaces remain unfilled. However, funding is not guaranteed to be available after that date. **Applicants should not:** * currently have a booth on the SC26 exhibit floor * have exhibited at SC in the past (first-timers only) * be considered an industry exhibitor or start-up ## Ready to Apply? Create an account in the online submission system and complete the form. A sample form can be viewed before signing in. [apply](https://submissions.supercomputing.org/) If you have questions regarding applications, please contact the Community Engagement & Support committee. 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