Abstract
Over the years, efficient algorithms have been proposed to realize logic functions on two-dimensional arrays of four-terminal switches, called switching lattices, using the fewest number of switches. Although existing algorithms can easily find a solution on logic functions with a small number of inputs and products, they can hardly handle large size instances. In order to cope with such logic functions, in this paper, we introduce SISYPHUS that exploits Boolean decomposition techniques and incorporates a state-of-art algorithm designed for the realization of logic functions using switching lattices. Experimental results indicate that SISYPHUS can find competitive solutions on logic functions with a small number of inputs and products when compared to those of previously proposed algorithms. Moreover, its solutions on large size functions are obtained using a little computational effort and are significantly better than the best solutions found so far.
Original language | English |
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Title of host publication | 2020 IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728133201 |
Publication status | Published - 2020 |
Event | 52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Virtual, Online Duration: 10 Oct 2020 → 21 Oct 2020 |
Publication series
Name | Proceedings - IEEE International Symposium on Circuits and Systems |
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Volume | 2020-October |
ISSN (Print) | 0271-4310 |
Conference
Conference | 52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020 |
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City | Virtual, Online |
Period | 10/10/20 → 21/10/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE
Funding
This work is supported by the European Union's H2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 691178 and the TUBITAK-2501 project #218E068. ACKNOWLEDGMENT This work is supported by the European Union’s H2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 691178 and the TUBITAK-2501 project #218E068.
Funders | Funder number |
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European Union's H2020 research and innovation programme | |
Horizon 2020 Framework Programme | |
H2020 Marie Skłodowska-Curie Actions | TUBITAK-2501, 691178, 218E068 |