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Performance Evaluation Method for Intelligent Computing Components for Space Applications.
Xie, Man; Wang, Lianguo; Ma, Miao; Zhang, Pengfei.
Afiliação
  • Xie M; National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China.
  • Wang L; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Ma M; National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China.
  • Zhang P; National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China.
Sensors (Basel) ; 24(1)2023 Dec 27.
Article em En | MEDLINE | ID: mdl-38203006
ABSTRACT
The computational performance requirements of space payloads are constantly increasing, and the redevelopment of space-grade processors requires a significant amount of time and is costly. This study investigates performance evaluation benchmarks for processors designed for various application scenarios. It also constructs benchmark modules and typical space application benchmarks specifically tailored for the space domain. Furthermore, the study systematically evaluates and analyzes the performance of NVIDIA Jetson AGX Xavier platform and Loongson platforms to identify processors that are suitable for space missions. The experimental results of the evaluation demonstrate that Jetson AGX Xavier performs exceptionally well and consumes less power during dense computations. The Loongson platform can achieve 80% of Xavier's performance in certain parallel optimized computations, surpassing Xavier's performance at the expense of higher power consumption.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article