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Performance Evaluation Method for Intelligent Computing Components for Space Applications.

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This summary is machine-generated.

Evaluating space-grade processors is crucial for missions. NVIDIA Jetson AGX Xavier excels in dense computations with low power, while Loongson offers competitive performance for parallel tasks, albeit with higher energy use.

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embedded GPUhigh-performance computingloongson platformperformance evaluation

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Area of Science:

  • Spacecraft engineering
  • Computer architecture
  • High-performance computing

Background:

  • Increasing computational demands for space payloads necessitate efficient, reliable processors.
  • Developing space-grade processors is time-consuming and expensive, driving the need for performance evaluation of existing platforms.
  • Identifying suitable commercial off-the-shelf (COTS) processors can accelerate space mission development.

Purpose of the Study:

  • To investigate performance evaluation benchmarks for space-grade processors.
  • To construct tailored benchmark modules for space applications.
  • To assess the suitability of NVIDIA Jetson AGX Xavier and Loongson platforms for space missions.

Main Methods:

  • Development of benchmark modules and typical space application benchmarks.
  • Systematic performance evaluation of NVIDIA Jetson AGX Xavier and Loongson platforms.
  • Analysis of computational performance and power consumption under various workloads.

Main Results:

  • NVIDIA Jetson AGX Xavier demonstrates exceptional performance and lower power consumption in dense computations.
  • Loongson platforms achieve up to 80% of Xavier's performance in parallel optimized computations.
  • Loongson platforms can outperform Xavier in specific parallel tasks but with increased power demands.

Conclusions:

  • NVIDIA Jetson AGX Xavier is a strong candidate for space missions requiring high performance in dense computations with power efficiency.
  • Loongson processors present a viable alternative for parallel computing tasks in space, balancing performance and power trade-offs.
  • Performance benchmarks tailored for space applications are essential for selecting optimal processors for diverse space mission requirements.