Design Objectives for Synthesis of Graphene PN Junction Circuits based on Two-level Representation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F24%3A00378095" target="_blank" >RIV/68407700:21240/24:00378095 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1109/DSD64264.2024.00011" target="_blank" >https://doi.org/10.1109/DSD64264.2024.00011</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/DSD64264.2024.00011" target="_blank" >10.1109/DSD64264.2024.00011</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Design Objectives for Synthesis of Graphene PN Junction Circuits based on Two-level Representation
Popis výsledku v původním jazyce
The development of electrostatically doped graphene PN-junctions shows promise for creating efficient low-power, high-speed circuits. In recent years, there has been a considerable interest in the synthesis of graphene PN junction logic circuits. However, existing synthesis methods lack assessment based on technology-specific cost metrics (e.g., the number of graphene PN junction gates, constant inputs), leading to insufficiently addressed design objectives. In this paper, we introduce synthesis approaches for graphene PN-junction circuits based on Sum-of-Products (SoP) and Exclusive Sum-of-Products (ESoP) function representations. Experimental results indicate that ESoP-based synthesis significantly reduces the number of graphene PN junction gates, constant inputs, and switching activity compared to SoP-based approaches. Overall, ESoP-based synthesis is deemed more suitable than SoP-based methods for designing graphene PN-junction logic circuits.
Název v anglickém jazyce
Design Objectives for Synthesis of Graphene PN Junction Circuits based on Two-level Representation
Popis výsledku anglicky
The development of electrostatically doped graphene PN-junctions shows promise for creating efficient low-power, high-speed circuits. In recent years, there has been a considerable interest in the synthesis of graphene PN junction logic circuits. However, existing synthesis methods lack assessment based on technology-specific cost metrics (e.g., the number of graphene PN junction gates, constant inputs), leading to insufficiently addressed design objectives. In this paper, we introduce synthesis approaches for graphene PN-junction circuits based on Sum-of-Products (SoP) and Exclusive Sum-of-Products (ESoP) function representations. Experimental results indicate that ESoP-based synthesis significantly reduces the number of graphene PN junction gates, constant inputs, and switching activity compared to SoP-based approaches. Overall, ESoP-based synthesis is deemed more suitable than SoP-based methods for designing graphene PN-junction logic circuits.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20206 - Computer hardware and architecture
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 2024 27th Euromicro Conference on Digital System Design
ISBN
979-8-3503-8038-5
ISSN
2639-3859
e-ISSN
2771-2508
Počet stran výsledku
8
Strana od-do
11-18
Název nakladatele
IEEE Computer Society
Místo vydání
Los Alamitos
Místo konání akce
Paris
Datum konání akce
28. 8. 2024
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
001414927800002