图像处理应用中基于fpga的远程协处理器的性能

Domingo Benítez
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引用次数: 7

摘要

本文描述了通用计算机中基于fpga协处理器的图像处理应用的性能评估。我们的实验表明,最大加速取决于协处理器处理的数据量。以256/spl倍/256像素拍摄图像,10E+5 clb的适度FPGA容量为我们的大多数基准测试提供了比奔腾III处理器两个数量级的性能改进。但是,内存组织和主机总线会降低这些结果。那些能够表现出高性能改进的基准测试将需要大约200个256字节的内存库和高达30 GB/s的主机带宽。基于我们的定量方法,可以解释为什么一些目前可用的基于fpga的协处理器不能为某些图像处理应用提供可实现的性能水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance of remote FPGA-based coprocessors for image-processing applications
This paper describes a performance evaluation of image-processing applications on FPGA-based coprocessors that are part of general-purpose computers. Our experiments show that the maximum speed-up depends on the amount of data processed by the coprocessor. Taking images with 256/spl times/256 pixels, a moderate FPGA capacity of 10E+5 CLBs provides two orders of magnitude of performance improvement over a Pentium III processor for most of our benchmarks. However, memory organization and host bus degrade these results. Those benchmarks that can exhibit high performance improvement would require about 200 memory banks of 256 bytes and a host bandwidth as high as 30 GB/s. Based on our quantitative approach, it can be explained why some currently available FPGA-based coprocessors do not provide the achievable level of performance for some image-processing applications.
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