A Performance Analysis of a Real-time Jet Engine Performance Calculator Executing in Arm Cortex-A Multicore Processors

The performance of multicore processors plays a crucial role in meeting the safety standards requirements (e.g., response time) for safety-critical edge devices, affecting aspects such as resource allocation, fault tolerance, management, and real-time processing. In this regard, benchmarks are needed to assess the performance and underlying real-time aspects. This work contributes by extending a multithreaded real-time Jet Engine benchmark, which provides better performance and fewer missed deadlines w.r.t. other parallel solutions. The paper presents a detailed performance analysis considering different Jet Engine benchmark parallel models executed in four Arm Cortex-A processors. Results show an average performance improvement of 3.83% to 66.01% when compared to the original parallel models executing in the Cortex A-76 processor. Results also show that the extended version using a 32-bit SIMD floating-point technology has eliminated all missed deadlines when executed in the Arm Cortex-A53, A72, and A76.

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Published
2024-11-18
DOI
https://doi.org/10.1109/icecs61496.2024.10849049
Citations
1
Primary Topic
Parallel Computing and Optimization Techniques
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article
Field-Weighted Citation Impact
0.49
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article

A Performance Analysis of a Real-time Jet Engine Performance Calculator Executing in Arm Cortex-A Multicore Processors

Germano Girondi, Antônio Oliveira-Jr, José Eduardo Thums, Geancarlo Abich et al.
1 citations
Parallel Computing and Optimization Techniques
0.49
article

A Performance Analysis of a Real-time Jet Engine Performance Calculator Executing in Arm Cortex-A Multicore Processors

Germano Girondi, Antônio Oliveira-Jr, José Eduardo Thums, Geancarlo Abich, Jonas Gava, Luciano Ost, Areeb Sherjil, Ricardo Reis
article en
1 citations

Abstract

The performance of multicore processors plays a crucial role in meeting the safety standards requirements (e.g., response time) for safety-critical edge devices, affecting aspects such as resource allocation, fault tolerance, management, and real-time processing. In this regard, benchmarks are needed to assess the performance and underlying real-time aspects. This work contributes by extending a multithreaded real-time Jet Engine benchmark, which provides better performance and fewer missed deadlines w.r.t. other parallel solutions. The paper presents a detailed performance analysis considering different Jet Engine benchmark parallel models executed in four Arm Cortex-A processors. Results show an average performance improvement of 3.83% to 66.01% when compared to the original parallel models executing in the Cortex A-76 processor. Results also show that the extended version using a 32-bit SIMD floating-point technology has eliminated all missed deadlines when executed in the Arm Cortex-A53, A72, and A76.

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT), Universidade Federal do Rio Grande do Sul (BR), University of Lisbon (PT), Loughborough University (GB)
Affordable and clean energy
Openalex Percentile: Top 32%
Parallel Computing and Optimization Techniques
0.49
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A Performance Analysis of a Real-time Jet Engine Performance Calculator Executing in Arm Cortex-A Multicore Processors — Germano Girondi, Antônio Oliveira-Jr, et al. · (2024) | TGRS Research Map | TGRS