Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2002 / Cilt: 2 - Sayı: 1

A fast divider implementation based on the Newton-Raphson method using parallel computation units

Pages
409–415
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These units compute the second, third and fourth order Newton Raphson terms more faster than the standart technique using direct multipliers.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, a special divide hardware unit based on the Newton-Raphson iteration method is proposed.
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Key Findings & Data:To compute the reciprocal fast in division process, it utilizes fourth order Newton-Raphson reciprocal approximations.
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Conclusion & Impact:These units compute the second, third and fourth order Newton Raphson terms more faster than the standart technique using direct multipliers.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, a special divide hardware unit based on the Newton-Raphson iteration method is proposed. To compute the reciprocal fast in division process, it utilizes fourth order Newton-Raphson reciprocal approximations. By using fast and efficient parallel computation units the divider achives the computations. These units compute the second, third and fourth order Newton Raphson terms more faster than the standart technique using direct multipliers.

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Cite This Article

SERTBAŞ, A. (2022). A fast divider implementation based on the Newton-Raphson method using parallel computation units. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 2 - Sayı: 1, 409–415. https://ajindex.com/articles/543942

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References (4)

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  2. Liddicoat A. and Flynn M., (2000), ‘Parallel Square and Cube Computations’,Asilomar Conference on Signals, Systems and Computers, California, November
  3. Liddicoat A. and Flynn M., (2000), ‘Pipelinable Division Unit’, CSL-TR-00-809, The Technical Report, Computer System Labrotary, Stanford University, September
  4. Sertbaº A., ‘Fast and Efficient Parallel Computation Units for Exponential Functions’, ISCIS XVI International Symp.on Computer and Information Systems’, Antalya- Belek, November 5-9, 2001.