用电子舞曲风格实时听觉化超算运行状态，让系统长期监控更直观可感。
Real-time, EDM-inspired sonification of the activity of a supercomputer
- 以电子舞曲为音乐框架，让超算数据自动生成持续可听的声景。
- 实现超算节点活动的实时听觉监测，支持无限时长、无中断的运行状态感知。
- 适合对高性能计算监控、数据艺术或声音设计感兴趣的跨学科研究者。
本文探讨了将实时超算数据进行信息性声音化的项目。这些数据捕捉了计算机所有节点的当前活动，因此其声音化可作为节点行为及系统整体状态的持续监控手段。由于此类监控理论上永无止境，生成的声音必须在长时间聆听下仍保持信息清晰且富有吸引力。我们未将预设音乐风格强加于数据，而是选择电子舞曲（EDM）——因其结构与时间特征与持续的数据驱动过程高度契合，能支持长期听觉感知。该研究延续了计算机数据声音化的传统，首次将三个罕见结合的要素统一：以监控为核心目标（而非调试）、实时数据解读（而非事后分析）、以及生成几乎无限且风格一致的音乐（而非风格断裂）。
原文摘要 · Abstract (English)
The project described in this paper explores the informative sonification of data received in real time from a supercomputer. These data capture the current activities in all the nodes of the computer, therefore, their sonification functions as a form of continuous monitoring of the nodes' behavior and, by extension, of the system as a whole. Because such monitoring is theoretically unending, the resulting sonification must be musically capable of conveying information through sound in a way that remains both intelligible and engaging over long durations. Rather than imposing a predefined musical style onto the data, we sought to identify one which the data themselves could plausibly support. From a small set of candidates, we selected EDM because it is a family of genres whose structural and temporal characteristics align well with continuous, data-driven processes and long-term listening. Through this style-based approach, this research builds on the long tradition of computer data sonification while uniquely combining three elements rarely addressed together: monitoring (rather than debugging) as the primary goal, real-time (rather than post-mortem) data interpretation, and generation of virtually infinite and stylistically coherent (rather than incongruous) music.
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。