Implementation of convolution operation on general purpose processors

E. Jamro, K. Wiatr
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引用次数: 11

Abstract

Convolution (FIR filtering) is a computationally demanding operation, especially when performed as a two-dimension (2D) operation in a real time image processing system. Consequently, a great amount of research has been done to perform this operation more and more efficiently. This paper reviews different architectures of general-purpose processors giving the example of Pentium family. In recent years a rapid development of microprocessors have been observed, however, it can be seen that architecture of microprocessors is already complex and a further rapid increase of the calculation speed rather limited. Dedicated processors implement convolution operation very efficiently, nevertheless, the design is not flexible which makes design development, test and upgrade difficult.
卷积运算在通用处理器上的实现
卷积(FIR滤波)是一种计算要求很高的操作,特别是在实时图像处理系统中作为二维(2D)操作执行时。因此,人们进行了大量的研究,以更有效地实现这一操作。本文以Pentium系列为例,综述了通用处理器的不同体系结构。近年来,微处理器发展迅速,但可以看出,微处理器的结构已经很复杂,计算速度的进一步快速提高相当有限。专用处理器实现卷积运算的效率很高,但其设计不够灵活,给设计开发、测试和升级带来了困难。
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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