DocumentCode
1649880
Title
IR-drop analysis of graphene-based power distribution networks
Author
Miryala, Sandeep ; Calimera, Andrea ; Macii, Enrico ; Poncino, Massimo
Author_Institution
Dipt. di Autom. e Inf., Politec. di Torino, Torino, Italy
fYear
2012
Firstpage
81
Lastpage
86
Abstract
Electromigration (EM) has been indicated as the killer effect for copper interconnects. ITRS projections show that for future technologies (22nm and beyond) the on-chip current demand will exceed the physical limit copper metal wires can tolerate. This represents a serious limitation for the design of power distribution networks of next generation ICs. New carbon nanomaterials, governed by ballistic transport, have shown higher immunity to EM, thereby representing potential candidate to replace copper. In this paper we make use of compact conductance models to benchmark Graphene Nanoribbons (GNRs) against copper. The two materials have been used to route a state-of-the-art multi-level power-grid architecture obtained through an industrial 45nm physical design flow. Although the adopted design style is optimized for metal grids, results obtained using our simulation framework show that GNRs, if properly sized, can outperform copper, thus allowing the design of reliable circuits with reduced IR-drop penalties.
Keywords
ballistic transport; copper; distribution networks; electromigration; graphene; nanoribbons; GNR; IR-drop analysis; ITRS projection; ballistic transport; carbon nanomaterial; compact conductance model; copper interconnects; electromigration; graphene nanoribbon; graphene-based power distribution network; metal grid; multilevel power-grid architecture; next generation IC; on-chip current demand; Benchmark testing; Copper; Integrated circuit modeling; Mathematical model; Resistance; Wires;
fLanguage
English
Publisher
ieee
Conference_Titel
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2012
Conference_Location
Dresden
ISSN
1530-1591
Print_ISBN
978-1-4577-2145-8
Type
conf
DOI
10.1109/DATE.2012.6176437
Filename
6176437
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