Research and Application of Energy Efficiency Optimization Algorithm for Spacecraft Simulation Platform

High performance computing plays an increasingly important role in the simulation and verification of the aerospace. The high-performance simulation and computing platform for spacecraft provides effective support for various professional fields such as spacecraft orbit design, mechanical structure analysis, electromagnetic simulation, etc. With the increasing scale and quantity of spacecraft, all kinds of simulation tasks tend to be complex and require high solving time, which puts forward higher requirements for the computing capability of the platform. While improving the computing power of the platform, its performance and scale are growing year by year, and its energy consumption is also growing synchronously. This paper combines the characteristics of various professional computing tasks in spacecraft simulation, experimental verifies with the actual operation data, analyzes the platform energy consumption model, and compares the optimized scheduling algorithm with the conventional scheduling algorithm. On the premise of not affecting the platform throughput and operation time, the overall energy consumption of the platform is reduced by an average of 25%, effectively improving the energy efficiency of the platform and saving the operation cost.