Optimizing for Reduced Code Space using Genetic Algorithms

@inproceedings{Cooper1999OptimizingFR,
  title={Optimizing for Reduced Code Space using Genetic Algorithms},
  author={Keith D. Cooper and Philip J. Schielke and Devika Subramanian},
  booktitle={Workshop on Languages, Compilers, and Tools for Embedded Systems},
  year={1999}
}
Code space is a critical issue facing designers of software for embedded systems. Many traditional compiler optimizations are designed to reduce the execution time of compiled code, but not necessarily the size of the compiled code. Further, different results can be achieved by running some optimizations more than once and changing the order in which… CONTINUE READING

5 Figures & Tables

Topics

Statistics

02040'01'03'05'07'09'11'13'15'17
Citations per Year

320 Citations

Semantic Scholar estimates that this publication has 320 citations based on the available data.

See our FAQ for additional information.