• Title/Summary/Keyword: K'th order Goldschmidt

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Floating Point Number N'th Root K'th Order Goldschmidt Algorithm (부동소수점수 N차 제곱근 K차 골드스미스 알고리즘)

  • Cho, Gyeong Yeon
    • Journal of Korea Multimedia Society
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    • v.22 no.9
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    • pp.1029-1035
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    • 2019
  • In this paper, a tentative Kth order Goldschmidt floating point number Nth root algorithm for K order convergence rate in one iteration is proposed by applying Taylor series to the Goldschmidt square root algorithm. Using the proposed algorithm, Nth root and Nth inverse root can be computed from iterative multiplications without division. It also predicts the error of the algorithm iteration. It iterates until the predicted error becomes smaller than the specified value. Since the proposed algorithm only performs the multiplications until the error gets smaller than a given value, it can be used to improve the performance of a floating point number Nth root unit.

Error Corrected K'th order Goldschmidt's Floating Point Number Division (오차 교정 K차 골드스미트 부동소수점 나눗셈)

  • Cho, Gyeong-Yeon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.10
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    • pp.2341-2349
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    • 2015
  • The commonly used Goldschmidt's floating-point divider algorithm performs two multiplications in one iteration. In this paper, a tentative error corrected K'th Goldschmidt's floating-point number divider algorithm which performs K times multiplications in one iteration is proposed. Since the number of multiplications performed by the proposed algorithm is dependent on the input values, the average number of multiplications per an operation in single precision and double precision divider is derived from many reciprocal tables with varying sizes. In addition, an error correction algorithm, which consists of one multiplication and a decision, to get exact result in divider is proposed. Since the proposed algorithm only performs the multiplications until the error gets smaller than a given value, it can be used to improve the performance of a divider unit. Also, it can be used to construct optimized approximate reciprocal tables.