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All-Graphene Nano-Ribbon FET Based Complete FPGA Design
FPGA is among the most successful digital IC. Though initially targeted for prototyping, but received more attention even in small volume production. However, that success is under threat since Silicon is reaching physical limitations. According to ITRS, towards the sub-nanometer regime, various sec...
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Published in: | ECS journal of solid state science and technology 2020-03, Vol.9 (3), p.31004 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | FPGA is among the most successful digital IC. Though initially targeted for prototyping, but received more attention even in small volume production. However, that success is under threat since Silicon is reaching physical limitations. According to ITRS, towards the sub-nanometer regime, various second-order effects affect the functionality and reduces the performance of the device. Research on alternative materials indicates that Graphene is the most attractive candidate, and field-effect transistors using Graphene Nano-Ribbons Field Effect Transistors (GNRFETs) are promising because of their excellent properties. Toward all-Graphene microelectronics, and due to FPGA position in digital design, Graphene-based FPGA needs to be designed, analyzed, and evaluated. This paper explores FPGA design based on GNRFETs. It studies the design and characterization of all parts of a Graphene-based simple FPGA which could be a configurable logic structure for future microelectronics. It covers main parts, by design and characterization of Configurable Logic Block, routing switch, and I/O block, all based on GNRFET. The results as 47 ps delay for output and 23 ps for input proves feasibility, and indicate that proposed C-FPGA designs are much faster than conventional silicon-based counterparts. Power Delay Product of proposed CLB element is 5.3 times lesser than those of silicon counterparts. |
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ISSN: | 2162-8769 2162-8777 2162-8777 |
DOI: | 10.1149/2162-8777/ab8062 |