Accounting for systematic errors in approximate computing

@article{Bruestel2017AccountingFS,
  title={Accounting for systematic errors in approximate computing},
  author={Martin Bruestel and Akash Kumar},
  journal={Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017},
  year={2017},
  pages={298-301}
}
Approximate computing is gaining more and more attention as potential solution to the problem of increasing energy demand in computing. Several recent works focus on the application of deterministic approximate computing to arithmetic computations. Circuits for addition and multiplication are simplified, trading exactness for energy and/or speed. Recent approximation techniques for adders focus on modifications of individual full adders' truth tables or shortening carry chains. While the… CONTINUE READING