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A space debris early warning method based on GPU acceleration

A technology of space debris and debris, which is applied in the field of space debris early warning calculation, can solve the problems of reducing calculation costs, etc., and achieve the effects of high cost efficiency, cost reduction, and fast speed-up ratio

Active Publication Date: 2019-02-19
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

[0005] The problem solved by the technology of the present invention is: while ensuring computing performance, greatly reduce computing cost, reduce computing power consumption, and propose a new space debris early warning algorithm based on GPU and SGP4 / SDP4 model

Method used

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  • A space debris early warning method based on GPU acceleration
  • A space debris early warning method based on GPU acceleration
  • A space debris early warning method based on GPU acceleration

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Embodiment 1

[0076] The invention takes a single spacecraft as an example to calculate the collision probability with the space debris group and analyze the precision and acceleration performance. The first GPU used is NVIDIA’s Tesla C2075, with a total of 448 acceleration cores. The specific configuration is shown in Table 1.

[0077] Table 1 Numerical simulation hardware configuration

[0078] Table 1 Numerical simulation hardware configuration

[0079]

[0080] The target spacecraft for early warning is selected as the space laboratory "Tiangong-1", and the probability of possible collision between Tiangong-1 and the debris group (a total of 1382 debris) formed by the collision between the US and Russian satellites in 2009 is calculated. Its TLE data is downloaded from the CelesTrack website (http: / / www.celestrak.com / ), and the warning calculation time starts from 0:00 on January 15, 2016, with a time step of 60s, a total of 2.5E5s (about three days).

[0081] Such as image 3 , 4...

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Abstract

Provided is a space debris pre-warning method based on GPU acceleration. The method comprises following steps: (1) transplanting an SGP4 / SDP4 model on a GPU, initializing parameters of the SGP4 / SDP4 model on a CPU and setting the number of thread blocks on the GPU and the thread number of each thread block; (2) obtaining TLE data of currently pre-warning space debris on the CPU and copying obtained data to the assigned GPU memory; (3) initializing a zero-copy memory pointer, mapping the pointer to the above GPU memory, combining the available maximum memory and thread number based on the number of currently pre-warning space debris to calculate the batch size of space debris; (4) using zero-copy technology for batching space debris according to the above batch size in order to obtain collision probability of each debris at each time point in the manner of an assembly line and sending back to the CPU for storage; (5) releasing assigned GPU memory after processing space debris.

Description

technical field [0001] The invention relates to a space debris early warning method, more particularly, using the GPU general computing platform of Nvidia Corporation to develop a parallel algorithm for space debris early warning calculation. Background technique [0002] Early warning of space debris, that is, pre-analyzing the relationship between space debris in orbit and the target spacecraft, and judging the degree of danger of collision between debris and spacecraft is a prerequisite for space activities. [0003] However, completing routine early warning tasks in a short time requires huge computing resources. Using high-performance computing equipment, it is an inevitable choice to develop high-performance algorithms to accelerate space debris early warning calculations. At present, at home and abroad, most of them choose multiple servers and multiple computing cores to form computer clusters to do large-scale space debris collision early warning calculations. [0...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06F15/163
CPCG06F15/163G06F30/367
Inventor 徐明林名培胡肖肖何艳超付小宇罗通
Owner BEIHANG UNIV
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