By Topic

Efficient multiprecision floating point multiplication with optimal directional rounding

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
W. Krandick ; Res. Inst. for Symbolic Comput., Johannes Kepler Univ., Linz, Austria ; J. R. Johnson

An algorithm is described for multiplying multiprecision floating-point numbers. The algorithm can produce either the smallest floating-point number greater than or equal to the true product, or the greatest floating-point number smaller than or equal to the true product. Software implementations of multiprecision floating-point multiplication can reduce the computation time by a factor of two if they do not compute the low-order digits of the product of the two mantissas. However, these algorithms do not necessarily provide optimally rounded results. The algorithms described here is guaranteed to produce optimally rounded results and typically obtains the same savings

Published in:

Computer Arithmetic, 1993. Proceedings., 11th Symposium on

Date of Conference:

29 Jun-2 Jul 1993