Análisis de rendimiento y eficiencia energética en el cluster Raspberry Pi Cronos

Fuente: arXiv
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Autori principali: Semken, Martha, Vargas, Mariano, Tula, Ignacio, Zorzoli, Giuliana, Paredes, Andrés Rojas
Natura: Preprint
Pubblicazione: 2025
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author Semken, Martha
Vargas, Mariano
Tula, Ignacio
Zorzoli, Giuliana
Paredes, Andrés Rojas
author_facet Semken, Martha
Vargas, Mariano
Tula, Ignacio
Zorzoli, Giuliana
Paredes, Andrés Rojas
contents This article presents an evaluation of the computational performance and energy efficiency of the Cronos cluster, composed of Raspberry Pi4 and 3b microcomputers designed for educational purposes. Experimental tests were performed using the High Performance Linpack (HPL) benchmark, under a resource management environment configured with Slurm and parallel communication via Open MPI. The study focuses on analyzing scalability, stability, and power consumption during the execution of computationally intensive workloads, considering different node configurations. The results show that the cluster achieves a performance of up to 6.91 GFLOPS in homogeneous configurations of 6 Raspberry Pi 4 nodes, and that the use of heterogeneous nodes (including Raspberry Pi 3b) can negatively impact stability and efficiency. Additionally, the total electrical consumption of the system was measured during the runs, allowing for the estimation of the performance-to-consumption ratio (GFLOPS/W) as a comparative metric. This study constitutes a concrete contribution to the design, evaluation, and utilization of low-cost ARM clusters in educational and research contexts.
format Preprint
id arxiv_https___arxiv_org_abs_2512_07622
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Análisis de rendimiento y eficiencia energética en el cluster Raspberry Pi Cronos
Semken, Martha
Vargas, Mariano
Tula, Ignacio
Zorzoli, Giuliana
Paredes, Andrés Rojas
Hardware Architecture
Performance
This article presents an evaluation of the computational performance and energy efficiency of the Cronos cluster, composed of Raspberry Pi4 and 3b microcomputers designed for educational purposes. Experimental tests were performed using the High Performance Linpack (HPL) benchmark, under a resource management environment configured with Slurm and parallel communication via Open MPI. The study focuses on analyzing scalability, stability, and power consumption during the execution of computationally intensive workloads, considering different node configurations. The results show that the cluster achieves a performance of up to 6.91 GFLOPS in homogeneous configurations of 6 Raspberry Pi 4 nodes, and that the use of heterogeneous nodes (including Raspberry Pi 3b) can negatively impact stability and efficiency. Additionally, the total electrical consumption of the system was measured during the runs, allowing for the estimation of the performance-to-consumption ratio (GFLOPS/W) as a comparative metric. This study constitutes a concrete contribution to the design, evaluation, and utilization of low-cost ARM clusters in educational and research contexts.
title Análisis de rendimiento y eficiencia energética en el cluster Raspberry Pi Cronos
topic Hardware Architecture
Performance
url https://arxiv.org/abs/2512.07622