Article: Method of target damage probability distribution simulation and evaluation based on GPU parallel computing Journal: International Journal of Information and Communication Technology (IJICT) 2024 Vol.25 No.7 pp.37 - 56 Abstract: For the projectiles with proximity-fused warheads used to destroy the target, the most vulnerable information is vital to destroy targets efficiently. So, it is important to quickly locate the most vulnerable position of the target in combat. An algorithm combining GPU parallel computing and numerical simulation is proposed. For a specific target, a slicing processing method is used to define the spatial position parameters, and the damage probability distribution in the space near the target is established to determine the most vulnerable position. In the example, the computation speed of the method is about 3.6 times higher than that of the CPU serial calculation method. It could quickly locate the most vulnerable position of a certain ballistic missile, namely, when the projectile was situated in the plane of 1/5 projectile length from the bottom of the target, the target would be damaged with the highest probability of 90%. Inderscience Publishers - linking academia, business and industry through research

Title: Method of target damage probability distribution simulation and evaluation based on GPU parallel computing

Authors: Xiaoyun Lei; Yaping Tan; Lihua Zhu

Addresses: School of Information Technology, Jiangsu Open University, Nanjing, Jiangsu Province, China ' School of Information Technology, Jiangsu Open University, Nanjing, Jiangsu Province, China ' School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province, China

Abstract: For the projectiles with proximity-fused warheads used to destroy the target, the most vulnerable information is vital to destroy targets efficiently. So, it is important to quickly locate the most vulnerable position of the target in combat. An algorithm combining GPU parallel computing and numerical simulation is proposed. For a specific target, a slicing processing method is used to define the spatial position parameters, and the damage probability distribution in the space near the target is established to determine the most vulnerable position. In the example, the computation speed of the method is about 3.6 times higher than that of the CPU serial calculation method. It could quickly locate the most vulnerable position of a certain ballistic missile, namely, when the projectile was situated in the plane of 1/5 projectile length from the bottom of the target, the target would be damaged with the highest probability of 90%.

Keywords: damage probability; vulnerable position; GPU parallel computing; numerical simulation.

DOI: 10.1504/IJICT.2024.142171

International Journal of Information and Communication Technology, 2024 Vol.25 No.7, pp.37 - 56

Received: 30 Jul 2024
Accepted: 14 Sep 2024
Published online: 10 Oct 2024 *

Title: Method of target damage probability distribution simulation and evaluation based on GPU parallel computing

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