@inproceedings{f669e4f1513b415e8c2fb563147f62e1,
title = "Virtual single-node processing for SAR imaging based on multi-DSP",
abstract = "With the development of SAR technology, the SAR imaging processing data capability and computation complexity increases greatly. According to the situation, we design a virtual single node (VSN) parallel processing method, which uses 8 TMS320C6678 DSPs as a big processor to realize the large capability distributed storage and short time delay of SAR imaging processing. This method designs a remote reading and writing time beat of range line and azimuth line in distributed DDR to improve the remote transmission bandwidth between DSPs, and a data layout optimization approach in local DDR to achieve a balanced two-dimensional matrix local storage bandwidth. Finally, this paper realizes the SAR imaging algorithm based on the VSN method using 8 C6678s.",
keywords = "Multi-DSP Parallel processing Multi-core Programming, SAR imaging process, TMS320C6678, virtual nodes",
author = "Jin Ye and Hu Shanqing and Zhao Jiayun and Long Teng",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 ; Conference date: 05-08-2016 Through 08-08-2016",
year = "2016",
month = nov,
day = "22",
doi = "10.1109/ICSPCC.2016.7753660",
language = "English",
series = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",
address = "United States",
}