TY - GEN
T1 - Research on parallel architecture design of radar real-time signal processing based on CPU-GPU heterogeneous platform
AU - Dong, Henan
AU - Zheng, Cheng
AU - Tian, Weiming
N1 - Publisher Copyright:
© 2020 IET Conference Proceedings. All rights reserved.
PY - 2020
Y1 - 2020
N2 - in view of the central processing unit (CPU) platform processing performance limits on computationally intensive tasks, as well as the FPGA + DSP[1-3] platform of software and hardware of high coupling and difficult defects, using the graphics processor (GPU) powerful parallel computing power, the CPU and GPU pipeline technology, heterogeneous systems with multithreading, GPU more and more flow, such as strategy, puts forward the real-time signal processing system of the multiple perspectives analysis methods, make full use of the independence between modules and signal processing algorithm concurrency features within the GPU.The experimental results show that, compared with the traditional MATLAB platform, the maximum acceleration ratio based on CPU-GPU heterogeneous platform can reach more than 20000, and the parallel architecture designed can fully meet the real-time requirements of radar signal processing.
AB - in view of the central processing unit (CPU) platform processing performance limits on computationally intensive tasks, as well as the FPGA + DSP[1-3] platform of software and hardware of high coupling and difficult defects, using the graphics processor (GPU) powerful parallel computing power, the CPU and GPU pipeline technology, heterogeneous systems with multithreading, GPU more and more flow, such as strategy, puts forward the real-time signal processing system of the multiple perspectives analysis methods, make full use of the independence between modules and signal processing algorithm concurrency features within the GPU.The experimental results show that, compared with the traditional MATLAB platform, the maximum acceleration ratio based on CPU-GPU heterogeneous platform can reach more than 20000, and the parallel architecture designed can fully meet the real-time requirements of radar signal processing.
KW - GRAPHICS PROCESSING UNIT (GPU)
KW - REAL-TIME SIGNAL PROCESSING
KW - UNIVERSAL PARALLEL COMPUTING ARCHITECTURE (CUDA)
UR - http://www.scopus.com/inward/record.url?scp=85174656472&partnerID=8YFLogxK
U2 - 10.1049/icp.2021.0781
DO - 10.1049/icp.2021.0781
M3 - Conference contribution
AN - SCOPUS:85174656472
VL - 2020
SP - 323
EP - 329
BT - IET Conference Proceedings
PB - Institution of Engineering and Technology
T2 - 5th IET International Radar Conference, IET IRC 2020
Y2 - 4 November 2020 through 6 November 2020
ER -