Arbitrary precision arithmetic-SIMD style

S. Balakrishnan, S. Nandy
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引用次数: 10

Abstract

Current day general purpose processors have been enhanced with what is called "media instruction set" to achieve performance gains in applications that are media processing intensive. The instruction set that has been added exploits the fact that media applications have small native datatypes and have widths much less than that supported by commercial processors and the plethora of data-parallelism in such applications. Current processors enhanced with the "media instruction set" support arithmetic on sub-datatypes of only 8-bit, 16-bit, 32-bit and 64-bit precision. In this paper we motivate the need for arbitrary precision packed arithmetic wherein the width of the sub-datatypes are programmable by the user and propose an implementation for arithmetic on such packed datatypes. The proposed scheme has marginal hardware overhead over conventional implementations of arithmetic on processors incorporating a multimedia extended instruction set.
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任意精度算术- simd风格
当前的通用处理器已经通过所谓的“媒体指令集”进行了增强,以在媒体处理密集型应用程序中实现性能提升。添加的指令集利用了媒体应用程序具有较小的本机数据类型和宽度远小于商业处理器所支持的数据类型和宽度这一事实,以及此类应用程序中大量的数据并行性。当前使用“媒体指令集”增强的处理器只支持8位、16位、32位和64位精度的子数据类型运算。在本文中,我们激发了对任意精度封装算法的需求,其中子数据类型的宽度是由用户可编程的,并提出了在这种封装数据类型上的算法实现。与传统的包含多媒体扩展指令集的处理器上的算法实现相比,所提出的方案具有边际的硬件开销。
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