基于CPU-GPU 的超音速流场N-S 方程数值模拟.
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| Title: | 基于CPU-GPU 的超音速流场N-S 方程数值模拟. (Chinese) |
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| Alternate Title: | Numerical Simulation of N-S Equations for Supersonic Flow Fields Based on CPU-GPU. (English) |
| Authors: | 卢志伟, 张皓茹, 刘锡尧, 王亚东, 张卓凯, 张君安 |
| Source: | China Mechanical Engineering; Sep2025, Vol. 36 Issue 9, p1942-1950, 9p |
| Subject Terms: | SUPERSONIC flow, PARALLEL processing, COMPUTER simulation, AIRPLANE design, PARALLEL programming, HETEROGENEOUS computing, NAVIER-Stokes equations |
| Abstract (English): | To thoroughly analyze the characteristics of supersonic flow fields and enhance the efficiency of numerical computations, an efficient acceleration algorithm was designed. The algorithm herein fully leveraged the CPU-GPU heterogeneous parallel architecture and achieved data transmission and processing through asynchronous streaming, significantly accelerating the computational processes of supersonic flow field numerical simulations. The results demonstrate that the computational speed of GPU parallel processing is markedly faster than that of CPU serial processing, and the speedup ratio exhibits a pronounced increasing trend as the scale of the flow field grid expands. GPU parallel computing may effectively improve the computational speed of supersonic flow field simulations, providing a robust parallel computing method for the design, optimization, performance evaluation, and development of supersonic aircrafts. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): | 为深入分析超音速流场的特性并提高数值计算效率, 设计了一种高效的加速算法。该算法 充分利用中央处理器-图形处理器（CPU-GPU）异构并行模式, 通过异步流方式实现数据传输及处理, 显著加速了超音速流场数值模拟的计算过程。结果表明: GPU 并行计算速度明显高于CPU 串行计算 速度, 其加速比随流场网格规模的增大而明显提高。GPU 并行计算可以有效提高超音速流场的计算速 度, 为超音速飞行器的设计、优化、性能评估及其研发提供一种强有力的并行计算方法。 [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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