Dalek: An Unconventional and Energy-Aware Heterogeneous Cluster
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866908489933127680 |
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| author | Cassagne, Adrien Amiot, Noé Bouyer, Manuel |
| author_facet | Cassagne, Adrien Amiot, Noé Bouyer, Manuel |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_10481 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dalek: An Unconventional and Energy-Aware Heterogeneous Cluster Cassagne, Adrien Amiot, Noé Bouyer, Manuel Distributed, Parallel, and Cluster Computing 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. |
| title | Dalek: An Unconventional and Energy-Aware Heterogeneous Cluster |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2508.10481 |