Real-time, EDM-inspired sonfication of the activity of a supercomputer

TL;DR

This paper presents a real-time sonification system for monitoring supercomputer activity using EDM music style, enabling continuous, engaging, and intelligible data interpretation.

Contribution

It introduces a novel approach combining real-time data sonification, monitoring focus, and EDM style to produce long-term, coherent musical representations of supercomputer activity.

Findings

Successful real-time sonification of supercomputer data

EDM style supports continuous, long-duration listening

System provides intelligible and engaging sound representations

Abstract

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.