Goldschmidt’s Algorithms for division and square root are often characterized as being useful for hardware implementation, and lacking self-correction. A reexamination of these algorithms show that there are good software counterparts that retain the speed advantage of Goldschmidt’s Algorithm over the Newton-Raphson iteration. A final step is needed, however, to get the last bit rounded correctly. Key words: division, square root, Goldschmidt, floating-point
When performing divisions using Newton-Raphson (or similar) iterations on a processor with a floatin...
This paper presents the sequential and pipelined designs of a double precision floating point divide...
The advantages of the convergence with the square of the Newton-Raphson method are combined with the...
AbstractBack in the 1960s Goldschmidt presented a variation of Newton–Raphson iterations for divisio...
: The aim of this paper is to accelerate division, square root and square root reciprocal computatio...
This paper describes a study of a class of algorithms for the floating-point divide and square root ...
this paper is to clarify and evaluate the implementation tradeoffs at the FPU level, thus enabling d...
International audienceSince the introduction of the Fused Multiply and Add (FMA) in the IEEE-754-200...
Division is one of the basic arithmetic operations supported by every computer system. The operation...
Multiplicative Newton–Raphson and Goldschmidt algorithms are widely used in current processors to im...
In this project, the different methods of performing division and the square root function were impl...
The authors consider the possibility of designing architectures which combine in the best possible w...
Newton-Raphson and Goldschmidt algorithms can be sped up by using variable latency hardware architec...
With continued reductions in feature size, additional functionality may be added to future microproc...
The implementations of division and square root in the FPU's of current microprocessors are bas...
When performing divisions using Newton-Raphson (or similar) iterations on a processor with a floatin...
This paper presents the sequential and pipelined designs of a double precision floating point divide...
The advantages of the convergence with the square of the Newton-Raphson method are combined with the...
AbstractBack in the 1960s Goldschmidt presented a variation of Newton–Raphson iterations for divisio...
: The aim of this paper is to accelerate division, square root and square root reciprocal computatio...
This paper describes a study of a class of algorithms for the floating-point divide and square root ...
this paper is to clarify and evaluate the implementation tradeoffs at the FPU level, thus enabling d...
International audienceSince the introduction of the Fused Multiply and Add (FMA) in the IEEE-754-200...
Division is one of the basic arithmetic operations supported by every computer system. The operation...
Multiplicative Newton–Raphson and Goldschmidt algorithms are widely used in current processors to im...
In this project, the different methods of performing division and the square root function were impl...
The authors consider the possibility of designing architectures which combine in the best possible w...
Newton-Raphson and Goldschmidt algorithms can be sped up by using variable latency hardware architec...
With continued reductions in feature size, additional functionality may be added to future microproc...
The implementations of division and square root in the FPU's of current microprocessors are bas...
When performing divisions using Newton-Raphson (or similar) iterations on a processor with a floatin...
This paper presents the sequential and pipelined designs of a double precision floating point divide...
The advantages of the convergence with the square of the Newton-Raphson method are combined with the...