Hardware starting approximation for the square root operation

E. Schwarz, M. Flynn
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引用次数: 19

Abstract

A method for obtaining high-precision approximations of high-order arithmetic operations is presented. These approximations provide an accurate starting approximation for high-precision iterative algorithms, which translates into few iterations and a short overall latency. The method uses a partial product array to describe an approximation and sums the array on an existing multiplier. By reusing a multiplier the amount of dedicated hardware is made very small. For the square-root operation, a 16-bit approximation costs less than 1000 dedicated logic gates to implement and has the latency of approximately one multiplication. This is 1/500 the size of an equivalent look-up table method and over twice as many bits of accuracy as an equivalent polynomial method. Thus, a high-precision approximation of the square root operation and many other high-order arithmetic operations is possible at low cost.<>
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根号运算的硬件起始近似
提出了一种求高阶算术运算高精度近似的方法。这些近似值为高精度迭代算法提供了精确的起始近似值,从而转化为较少的迭代和较短的总体延迟。该方法使用部分积数组来描述近似值,并对现有乘法器上的数组求和。通过重用乘法器,专用硬件的数量变得非常小。对于平方根运算,16位近似值的实现成本少于1000个专用逻辑门,并且延迟大约为一次乘法。它的大小是等效查找表方法的1/500,精度是等效多项式方法的两倍多。因此,可以以较低的成本高精度地逼近平方根运算和许多其他高阶算术运算。
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Hardware starting approximation for the square root operation A modular multiplication algorithm with triangle additions Division with speculation of quotient digits Design of a fast validated dot product operation Exact rounding of certain elementary functions
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