Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | IET Conference Proceedings |
| Publisher | Institution of Engineering and Technology |
| Pages | 323-329 |
| Number of pages | 7 |
| Volume | 2020 |
| Edition | 9 |
| ISBN (Electronic) | 9781839535406 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 5th IET International Radar Conference, IET IRC 2020 - Virtual, Online Duration: 4 Nov 2020 → 6 Nov 2020 |
Conference
| Conference | 5th IET International Radar Conference, IET IRC 2020 |
|---|---|
| City | Virtual, Online |
| Period | 4/11/20 → 6/11/20 |
Keywords
- GRAPHICS PROCESSING UNIT (GPU)
- REAL-TIME SIGNAL PROCESSING
- UNIVERSAL PARALLEL COMPUTING ARCHITECTURE (CUDA)
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