@inproceedings{490e3c88ba6a4c8fb9b73af94bf43ecf,
title = "Pulse compression for velocity search based on half precision floating point format",
abstract = "Traditional methods of target velocity search based on pulse compression using GPU (Graphics Processing Unit) with single precision floating point format are difficult to meet the requirements of real-time processing. In this paper, a novel method for accelerating search process with half precision floating point format, which is based on the latest NVIDIA GPU card Tesla P100, is proposed. The scaling factor is defined to avoid the overflow issues with half precision floating point numbers. And the expression of scaling factor for LFM (Linear frequency modulation) signal is also derived. Measurement results show that about 50% promotion of computation speed is attainable with half precision floating point format when compared to single precision floating point format, which indicates the method can accelerate the searching speed efficiently.",
keywords = "GPU, half precision floating point format, pulse compression",
author = "Yan Wang and Defeng Chen and Huawei Cao and Tuo Fu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 3rd IEEE International Conference on Computer and Communications, ICCC 2017 ; Conference date: 13-12-2017 Through 16-12-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/CompComm.2017.8322761",
language = "English",
series = "2017 3rd IEEE International Conference on Computer and Communications, ICCC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1343--1347",
booktitle = "2017 3rd IEEE International Conference on Computer and Communications, ICCC 2017",
address = "United States",
}
