Accounting for systematic errors in approximate computing


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… (More)


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@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} }