Analisis Performa Klaster Single Board Computer dalam Implementasi Singular Value Decomposition

Syahrul Azka; Muhaza Liebenlito; Taufik Edy Sutanto

doi:10.37905/euler.v13i3.33367

Analisis Performa Klaster Single Board Computer dalam Implementasi Singular Value Decomposition

Syahrul Azka, Muhaza Liebenlito, Taufik Edy Sutanto

Abstract

This study aims to evaluate the performance of Singular Value Decomposition operations based on the divide-and-conquer method on two computing cluster architectures: an Intel Core i5-12400-based PC cluster and an Allwinner H618-based Orange Pi Zero 3 Single Board Computer cluster. The evaluation focuses on three key metrics: execution time, speedup, and energy consumption. Experiments were conducted on three matrix sizes (2160×2160, 3240×3240, and 5400×5400) with processor cores ranging from 1 to 12. Energy consumption was measured using a wattmeter by recording peak power during execution. The results show that the PC cluster achieves faster execution times but exhibits limited parallel scalability, reaching a maximum speedup of 10.31× and energy consumption of 2.07 Wh for the 5400×5400 matrix with 12 cores. In contrast, the SBC cluster demonstrates significantly higher parallel efficiency, achieving a speedup of 117.75× with energy consumption of only 0.23 Wh under the same configuration. These findings indicate that the SBC cluster offers a promising energy-efficient, cost-effective solution for parallel numerical computing, particularly for sustainable computing infrastructure in higher education, in alignment with the Sustainable Development Goals 7.

Keywords

Computational Mathematics; Parallel Computing; Single Board Computer; Sustainable Computing; Singular Value Decomposition

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DOI: https://doi.org/10.37905/euler.v13i3.33367

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