(eng) The aim of this paper is to accelerate division, square root and square root reciprocal computations, when 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.(fre) Le but de cet article est l'accélération de la division, et du calcul de racines carrées et d'inverses de racines carrées lorsque la méthode de Goldschmidt est utilisée sur un multiplieur pipe-line. Nous faisons ceci en remplaçant la d...
This paper presents a rounding method for functional it-eration algorithms. The new method is made u...
Techniques are generally described that include methods, devices, systems and/or apparatus for divid...
Abstract — We describe a new algorithm designed to quickly and robustly solve general linear problem...
The aim of this paper is to accelerate division, square root and square root reciprocal computations...
AbstractBack in the 1960s Goldschmidt presented a variation of Newton–Raphson iterations for divisio...
Goldschmidt’s Algorithms for division and square root are often characterized as being useful for ha...
Multiplicative Newton–Raphson and Goldschmidt algorithms are widely used in current processors to im...
This paper presents a method to obtain one-sided error results from Goldschmidt (GLD) algorithm. In ...
(eng) This paper deals with the computation of reciprocals, square roots, inverse square roots, and ...
International audienceThis paper presents a simple hardware architecture for computing the seed valu...
The reciprocal and square root reciprocal operations are important in several applications such as c...
The Fast Reciprocal Square Root Algorithm is a well-established approximation technique consisting o...
Algorithms for generating and implementing square root function using high speed multiplier
textThis dissertation focuses on improving the division-by-convergence algorithm. While the division...
We aim at finding the best possible seed values when computing reciprocals, square-roots and square-...
This paper presents a rounding method for functional it-eration algorithms. The new method is made u...
Techniques are generally described that include methods, devices, systems and/or apparatus for divid...
Abstract — We describe a new algorithm designed to quickly and robustly solve general linear problem...
The aim of this paper is to accelerate division, square root and square root reciprocal computations...
AbstractBack in the 1960s Goldschmidt presented a variation of Newton–Raphson iterations for divisio...
Goldschmidt’s Algorithms for division and square root are often characterized as being useful for ha...
Multiplicative Newton–Raphson and Goldschmidt algorithms are widely used in current processors to im...
This paper presents a method to obtain one-sided error results from Goldschmidt (GLD) algorithm. In ...
(eng) This paper deals with the computation of reciprocals, square roots, inverse square roots, and ...
International audienceThis paper presents a simple hardware architecture for computing the seed valu...
The reciprocal and square root reciprocal operations are important in several applications such as c...
The Fast Reciprocal Square Root Algorithm is a well-established approximation technique consisting o...
Algorithms for generating and implementing square root function using high speed multiplier
textThis dissertation focuses on improving the division-by-convergence algorithm. While the division...
We aim at finding the best possible seed values when computing reciprocals, square-roots and square-...
This paper presents a rounding method for functional it-eration algorithms. The new method is made u...
Techniques are generally described that include methods, devices, systems and/or apparatus for divid...
Abstract — We describe a new algorithm designed to quickly and robustly solve general linear problem...