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Improving Goldschmidt Division, Square Root, and Square Root Reciprocal
July 2000 (vol. 49 no. 7)
pp. 759-763

Abstract—The aim of this paper is to accelerate division, square root, and square root reciprocal computations when the Goldschmidt method is used on a pipelined multiplier. This is done by replacing the last iteration by the addition of a correcting term that can be looked up during the early iterations. We describe several variants of the Goldschmidt algorithm, assuming 4-cycle pipelined multiplier, and discuss obtained number of cycles and error achieved. Extensions to other than 4-cycle multipliers are given. If we call $G_m$ the Goldschmidt algorithm with $m$ iterations, our variants allow us to reach an accuracy that is between that of $G_3$ and that of $G_4$, with a number of cycle equal to that of $G_3$.

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Index Terms:
Division, square root, square root reciprocal, convergence division, computer arithmetic, Goldschmidt iteration.
Citation:
Milos D. Ercegovac, Laurent Imbert, David W. Matula, Jean-Michel Muller, Guoheng Wei, "Improving Goldschmidt Division, Square Root, and Square Root Reciprocal," IEEE Transactions on Computers, vol. 49, no. 7, pp. 759-763, July 2000, doi:10.1109/12.863046
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