A floating point divider performing IEEE rounding and quotient conversion in parallel

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Processing floating point division generally consists of SRT recurrence, quotient conversion, rounding, and normalization steps. In the rounding step, a high speed adder is required for increment operation, increasing the overall execution time. In this paper, a floating point divider performing quotient conversion and rounding in parallel is presented by analyzing the operational characteristics of floating point division. The proposed floating point divider does not require any additional execution time, nor does it need any high speed adder for the rounding step. The proposed divider can execute quotient conversion, rounding, and normalization within one cycle. To support design efficiency, the quotient conversion/rounding unit of the proposed divider can be shared efficiently with the addition/rounding hardware for floating point multiplier.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsPen-Chung Yew, Jingling Xue
PublisherSpringer Verlag
Pages568-581
Number of pages14
ISBN (Electronic)3540230033, 9783540230038
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3189
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Park, W. C., Han, T. D., & Yang, S. B. (2004). A floating point divider performing IEEE rounding and quotient conversion in parallel. In P-C. Yew, & J. Xue (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 568-581). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3189). Springer Verlag. https://doi.org/10.1007/978-3-540-30102-8_47