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

Published: December 8, 2025 | arXiv ID: 2512.07622v1

By: Martha Semken , Mariano Vargas , Ignacio Tula and more

Potential Business Impact:

Makes cheap computers work together for science.

Business Areas:
Cloud Computing Internet Services, Software

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.

Country of Origin
🇦🇷 Argentina

Page Count
10 pages

Category
Computer Science:
Hardware Architecture