Academic Journal

The Adaptive Streaming SAR Back-Projection Algorithm Based on Half-Precision in GPU

التفاصيل البيبلوغرافية
العنوان: The Adaptive Streaming SAR Back-Projection Algorithm Based on Half-Precision in GPU
المؤلفون: Yihao Xu, Zhuo Zhang, Longyong Chen, Zhenhua Li, Ling Yang
المصدر: Electronics; Volume 11; Issue 18; Pages: 2807
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2022
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: adaptive loss factor, asynchronous parallel stream, back-projection algorithm, half-precision floating point, graphics processing unit, synthetic aperture radar, fast back-projection algorithm
الوصف: The back-projection (BP) algorithm is completely accurate in the imaging principle, but the computational complexity is extremely high. The single-precision arithmetic used in the traditional graphics processing unit (GPU) acceleration scheme has low throughput and its usage of the video memory is large. An adaptive asynchronous streaming scheme for the BP algorithm based on half-precision is proposed in this study, and then it is extended to the fast back-projection (FBP) algorithm. In this scheme, the adaptive loss factors selection strategy ensures the dynamic range of data, the asynchronous streaming structure ensures the efficiency of large scene imaging, and the mixed-precision data processing ensures the imaging quality. The schemes proposed in this paper are compared with BP, FBP, and fast factorized back-projection (FFBP) algorithms of single-precision in GPU. The experimental results show that the two half-precision acceleration schemes in this paper reduce the video memory usage to 74% and 59% of the single-precision schemes with guaranteed image quality. The efficiency improvements of the proposed schemes are almost one and 0.5 times greater than that of the corresponding single-precision scheme, and the advantage can be more obvious when dealing with large computations.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: Computer Science & Engineering; https://dx.doi.org/10.3390/electronics11182807
DOI: 10.3390/electronics11182807
الاتاحة: https://doi.org/10.3390/electronics11182807
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.A0DF7EC4
قاعدة البيانات: BASE
الوصف
DOI:10.3390/electronics11182807