Evaluating ARM and RISC-V Architectures for High-Performance Computing with Docker and Kubernetes

This paper thoroughly assesses the ARM and RISC-V architectures in the context of high-performance computing (HPC). It includes an analysis of Docker and Kubernetes integration. Our study aims to evaluate and compare these systems’ performance, scalability, and practicality in a general context and then assess the impact they might have on special use cases, like HPC. ARM-based systems exhibited better performance and seamless integration with Docker and Kubernetes, underscoring their advanced development and effectiveness in managing high-performance computing workloads. On the other hand, despite their open-source architecture, RISC-V platforms presented considerable intricacy and difficulties in working with Kubernetes, which hurt their overall effectiveness and ease of management. The results of our study offer valuable insights into the practical consequences of implementing these architectures for HPC, highlighting ARM’s preparedness and the potential of RISC-V while acknowledging the increased complexity and significant trade-offs involved at this point.

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Publication Details

Journal
Electronics
Published
2024-09-03
DOI
https://doi.org/10.3390/electronics13173494
Citations
7
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
3.42
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article

Evaluating ARM and RISC-V Architectures for High-Performance Computing with Docker and Kubernetes

Leo Mršić, Vedran Dakić, Zdravko Kunić, Goran Đambić
7 citations
Electronics
Parallel Computing and Optimization Techniques
3.42
article

Evaluating ARM and RISC-V Architectures for High-Performance Computing with Docker and Kubernetes

Leo Mršić, Vedran Dakić, Zdravko Kunić, Goran Đambić
article en
7 citations

Abstract

This paper thoroughly assesses the ARM and RISC-V architectures in the context of high-performance computing (HPC). It includes an analysis of Docker and Kubernetes integration. Our study aims to evaluate and compare these systems’ performance, scalability, and practicality in a general context and then assess the impact they might have on special use cases, like HPC. ARM-based systems exhibited better performance and seamless integration with Docker and Kubernetes, underscoring their advanced development and effectiveness in managing high-performance computing workloads. On the other hand, despite their open-source architecture, RISC-V platforms presented considerable intricacy and difficulties in working with Kubernetes, which hurt their overall effectiveness and ease of management. The results of our study offer valuable insights into the practical consequences of implementing these architectures for HPC, highlighting ARM’s preparedness and the potential of RISC-V while acknowledging the increased complexity and significant trade-offs involved at this point.

ElectronicsVol. 13(17)
Algebra Bernays University (HR)
Openalex Percentile: Top 6%
Parallel Computing and Optimization Techniques
3.42
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