By Topic

AUTOSCALER for C: an optimizing floating-point to integer C program converter for fixed-point digital signal processors

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

3 Author(s)
Ki-Il Kum ; Seoul Nat. Univ., South Korea ; Jiyang Kang ; Wonyong Sung

A translator which converts C-based floating-point digital signal processing programs to optimized integer C versions is developed for convenient programming and efficient use of fixed-point digital signal processors (DSPs). It not only converts data types and supports automatic scaling, but also conducts shift optimization to enhance execution speed. Since the input and output of this translator are ANSI C compliant programs, it can be used for any fixed-point DSP that supports ANSI C compiler. The number of shift operations that are required for scaling in the converted integer programs is reduced by equalizing the integer word-lengths of relevant variables and constants. For an optimal reduction, a cost function that represents the overhead of scaling is formulated by considering the data- path of a target processor, program parsing, and profiling results. This cost function is then minimized by using either integer linear programming or simulated annealing algorithms. The translated integer C codes are 5-400 times faster than the floating-point versions when applied to TMS320C50, TMS320C60 and Motorola 56000 DSPs

Published in:

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing  (Volume:47 ,  Issue: 9 )