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 [itemtype] reference
 [nick]cowlis2003
 [type]paper
 [cat]fboqsv

 [title]Decimal Floating-Point: Algorism for Computers
 [author]Cowlishaw, Michael F.
 [in]Proceedings of the 16th IEEE Symposium on Computer Arithmetic
 [isbn]0-7695-1894-X
 [pub]IEEE
 [pp]104-111
 [date]June 2003
 [url]http://www.dec.usc.es/arith16/papers/paper-107.pdf
 [file]cowlis2003-DFP-algorism.pdf

 [proof]0

 [has]
 Decimal floating-point justification and new combined arithmetic rules.

 [keys]

 [abstract]
  Decimal arithmetic is the norm in human calculations, and
  human-centric applications must use a decimal floating-point
  arithmetic to achieve the same results.

  Initial benchmarks indicate that some applications spend 50% to 90% of
  their time in decimal processing, because software decimal arithmetic
  suffers a 100× to 1000× performance penalty over hardware.
  The need for decimal floating-point in hardware is urgent.

  Existing designs, however, either fail to conform to modern standards
  or are incompatible with the established rules of decimal arithmetic.
  This paper introduces a new approach to decimal floating-point which
  not only provides the strict results which are necessary for
  commercial applications but also meets the constraints and
  requirements of the IEEE 854 standard.

  A hardware implementation of this arithmetic is in development, and it
  is expected that this will significantly accelerate a wide variety of
  applications.

 [note]
  Softcopy is available in
  <a href="http://www.dec.usc.es/arith16/papers/paper-107.pdf">PDF</a>.