GPGPU Acceleration using OpenCL for a Spotlight SAR Simulator

E. Balster, M. Hoffman, J. P. Skeans, David Fan
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引用次数: 4

Abstract

In this paper, OpenCL is used to target a general purpose graphics processing unit (GPGPU) for acceleration of 2 modules used in a synthetic aperture radar (SAR) simulator. Two of the most computationally complex modules, the Back Projection and Generate Return modules, are targeted to an AMD FirePro M5100 GPGPU. The resulting speedup is 3X over multi-threaded C++ implementations of those algorithms running on an 4-core Intel I7 2.8GHz processor, 4X and 7X over single-threaded C++ implementations, and 19X and 29X over native MATLAB implementations, respectively.
GPGPU加速使用OpenCL的聚光灯SAR模拟器
本文以OpenCL为目标,针对合成孔径雷达(SAR)模拟器中2个模块的加速,设计了通用图形处理单元(GPGPU)。两个计算最复杂的模块,Back Projection和Generate Return模块,是针对AMD FirePro M5100 GPGPU的。这些算法在4核Intel I7 2.8GHz处理器上的多线程c++实现的速度提高了3倍,比单线程c++实现的速度提高了4倍和7倍,比原生MATLAB实现的速度提高了19倍和29倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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