构建液冷超算数字孪生框架，实现能效优化与虚拟验证
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale
- 整合资源调度、瞬态热流冷却与增强现实模型，构建完整数字孪生
- 在前沿超算上复现六个月运行数据，验证框架有效性
- 适合超算能效优化与未来系统虚拟设计的研究人员
我们提出ExaDigiT，一个开源的液冷超算数字孪生开发框架。该框架包含三大模块：(1) 资源分配与功耗仿真器，(2) 瞬态热流冷却模型，(3) 超算及能源站的增强现实模型。框架支持‘假设分析’、系统优化与未来系统虚拟原型设计。以前沿超算（Frontier）为案例，我们通过复现六个月内系统遥测数据，完成了系统性验证与确认。这是首次对液冷百亿亿次级超算进行如此全面的分析。ExaDigiT揭示了复杂瞬态冷却动态，可运行合成或真实负载，并预测整流与电压转换带来的能量损耗。本文还总结了实践经验，供高性能计算领域开发者参考。我们展望数字孪生将成为可持续、高能效超算的关键支撑。
原文摘要 · Abstract (English)
We present ExaDigiT, an open-source framework for developing comprehensive digital twins of liquid-cooled supercomputers. It integrates three main modules: (1) a resource allocator and power simulator, (2) a transient thermo-fluidic cooling model, and (3) an augmented reality model of the supercomputer and central energy plant. The framework enables the study of "what-if" scenarios, system optimizations, and virtual prototyping of future systems. Using Frontier as a case study, we demonstrate the framework's capabilities by replaying six months of system telemetry for systematic verification and validation. Such a comprehensive analysis of a liquid-cooled exascale supercomputer is the first of its kind. ExaDigiT elucidates complex transient cooling system dynamics, runs synthetic or real workloads, and predicts energy losses due to rectification and voltage conversion. Throughout our paper, we present lessons learned to benefit HPC practitioners developing similar digital twins. We envision the digital twin will be a key enabler for sustainable, energy-efficient supercomputing.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。