@article{Soeken:233718,
title = {RM3 based logic synthesis},
author = {Soeken, Mathias and Gaillardon, Pierre-Emmanuel and De Micheli, Giovanni},
publisher = {IEEE},
journal = {Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS)},
year = {2017},
note = {ERC Cybercare 669354 / SNF MAJesty 200021-169084 / SNF 200021-146600},
abstract = {In-memory computing devices, such as resistive RAMs, natively implement material implication or a variant of the majority-of-three operation called RM<sub>3</sub>. This operation generalizes material implication and has been used as target operation in several logic synthesis algorithms for in-memory computing applications. In this work, we investigate a homogeneous logic network data structure that uses RM<sub>3</sub> as only logic operation. Such a data structure makes an ideal fit for the use in design automation algorithms for in-memory computing. We show how to derive RM<sub>3</sub> networks from well-known logic synthesis data structures and a technique how to obtain such networks using technology mapping.},
url = {http://infoscience.epfl.ch/record/233718},
doi = {10.1109/ISCAS.2017.8050223},
}