A GPU-based Heterogeneous Computing Method to Speed up Wireless Channel Simulation

被引:1
作者
Yan, Kangning [1 ]
Zhang, Nianzu [1 ]
Jiang, Zhengbo [1 ]
Sheng, Yu [1 ]
Gao, Yiting [1 ]
机构
[1] Southeast Univ, State Key Lab Millimeter Waves, Nanjing, Peoples R China
来源
2022 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY (ICMMT) | 2022年
关键词
heterogeneous computing; wireless channel simulation; GPU; CUDA;
D O I
10.1109/ICMMT55580.2022.10023384
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a heterogeneous computing method to accelerate the wireless channel simulation. In this method, the calculation of channel coefficient is divided into several arrays and processed by the CPU(Central Processing Unit) and GPU(Graphics Processing Unit) respectively. Meanwhile, the performance of the method presented above is analyzed. The results show that the calculation time is reduced by 1 to 2 orders compared to the traditional CPU-based method. It is worth mentioning that CUDA (Compute Unified Device Architecture) is chosen as the computing architecture.
引用
收藏
页数:3
相关论文
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