{"ID":2882249,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.10481","arxiv_id":"2508.10481","title":"Dalek: An Unconventional and Energy-Aware Heterogeneous Cluster","abstract":"Dalek is an experimental compute cluster designed to evaluate the performance of heterogeneous, consumer-grade hardware for software design, prototyping, and algorithm development. In contrast to traditional computing centers that rely on costly, server-class components, Dalek integrates CPUs and GPUs typically found in mini-PCs, laptops, and gaming desktops, providing a cost-effective yet versatile platform. This document details the cluster's architecture and software stack, and presents results from synthetic benchmarks. Furthermore, it introduces a custom energy monitoring platform capable of delivering 1000 averaged samples per second with milliwatt-level resolution. This high-precision monitoring capability enables a wide range of energy-aware research experiments in applied Computer Science.","short_abstract":"Dalek is an experimental compute cluster designed to evaluate the performance of heterogeneous, consumer-grade hardware for software design, prototyping, and algorithm development. In contrast to traditional computing centers that rely on costly, server-class components, Dalek integrates CPUs and GPUs typically found i...","url_abs":"https://arxiv.org/abs/2508.10481","url_pdf":"https://arxiv.org/pdf/2508.10481v1","authors":"[\"Adrien Cassagne\",\"Noé Amiot\",\"Manuel Bouyer\"]","published":"2025-08-14T09:32:47Z","proceeding":"cs.DC","tasks":"[\"cs.DC\"]","methods":"[]","has_code":false}