rtesbench: A Multi-core Benchmark Framework for Real-Time Embedded Systems

With the increasing demand for performance, multi-core hardware and RTOSs are being increasingly adopted in embedded systems. These modern embedded systems are exhibiting differentiated features in various aspects, such as hardware architecture and RTOS design. However, traditional benchmark tools struggle to evaluate the performance of multi-core systems effectively. To enable the evaluation of highly diversified multi-core embedded systems, we designed a multi-core specialized benchmark framework that assesses multi-core performance characteristics, including multi-core contention and RTOS design factors, across different target systems. Using this framework, we implemented multi-core benchmarks on three distinct yet representative embedded systems, each with unique characteristics. The evaluation not only allowed us to successfully capture their multi-core performance characteristics, but also helped us identify performance bottlenecks caused by specific design features.

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Publication Details

Published
2025-06-13
DOI
https://doi.org/10.1145/3735452.3735521
Citations
1
Primary Topic
Real-Time Systems Scheduling
Type
article
Field-Weighted Citation Impact
2.27
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article

rtesbench: A Multi-core Benchmark Framework for Real-Time Embedded Systems

Yixiao Xing
1 citations
Real-Time Systems Scheduling
2.27
article

rtesbench: A Multi-core Benchmark Framework for Real-Time Embedded Systems

Yixiao Xing
article en
1 citations

Abstract

With the increasing demand for performance, multi-core hardware and RTOSs are being increasingly adopted in embedded systems. These modern embedded systems are exhibiting differentiated features in various aspects, such as hardware architecture and RTOS design. However, traditional benchmark tools struggle to evaluate the performance of multi-core systems effectively. To enable the evaluation of highly diversified multi-core embedded systems, we designed a multi-core specialized benchmark framework that assesses multi-core performance characteristics, including multi-core contention and RTOS design factors, across different target systems. Using this framework, we implemented multi-core benchmarks on three distinct yet representative embedded systems, each with unique characteristics. The evaluation not only allowed us to successfully capture their multi-core performance characteristics, but also helped us identify performance bottlenecks caused by specific design features.

Nagoya University (JP)
Openalex Percentile: Top 15%
Real-Time Systems Scheduling
2.27
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