更多关于任意边界填充算法

P. Karthikeyan, P. Ranganathan
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引用次数: 2

摘要

最近的微处理器已经增强了用于加速媒体算法的媒体指令集。他们利用媒体算法具有小数据类型和宽度远小于处理器的事实。当前的媒体指令集只支持8位、16位和32位子数据类型。这种方案在使用9、12等位长度的几个应用程序中效率很低。我们需要用户可编程的子数据类型位长度。S. Balakrishnan和S. k . Nandy(1998)讨论了任意边界填充加法。许多媒体算法都是基于乘法累加算法。对于完全加速,我们还需要任意边界填充乘法。我们提出了一种基于Wallace树乘法的方案。我们还对Balakrishnan和Nandy进行了扩展,并对子数据类型的中间带进行了详细的处理,这些子数据类型在以前的工作中丢失了。这些载体可用于饱和算法和流量控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
More on arbitrary boundary packed arithmetic
Recent microprocessors have been enhanced with media instruction sets for accelerating media algorithms. They exploit the fact that media algorithms have small data types, and widths much less than that of the processor. Current media instruction sets support only 8-, 16- and 32-bit sub-datatypes. This scheme is inefficient in several applications where bit lengths of 9, 12 and so on are used. We need user programmable sub-datatype bit lengths. S. Balakrishnan and S.K. Nandy (1998) discuss arbitrary boundary packed addition. Many media algorithms are based on multiply-accumulate algorithms. For full acceleration we also need arbitrary boundary packed multiplication. We present such a scheme based on Wallace tree multiplication. We also expand on Balakrishnan and Nandy and provide a detailed treatment of the intermediate carries of sub-datatypes which were lost in the previous work. These carries could be used for saturation arithmetic and flow control.
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