<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
<has> Decimal floating-point justification and new combined arithmetic rules.
<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>.