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<p>The use of graphene nanoribbon (GNR) interconnects has received significant attention in the domain of VLSI interconnects. Unlike conventional VLSI interconnects, routing GNR interconnects poses unique challenges due to their limited bending capabilities, restricted to angles of <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12046_2024_2666_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="17" /> </InlineMediaObject> <EquationSource Format="TEX">\(0^{\circ }\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mn>0</mn> <mo>∘</mo> </msup> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12046_2024_2666_Article_IEq2.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="25" /> </InlineMediaObject> <EquationSource Format="TEX">\(60^{\circ }\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mn>60</mn> <mo>∘</mo> </msup> </math></EquationSource> </InlineEquation>, and <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12046_2024_2666_Article_IEq3.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="33" /> </InlineMediaObject> <EquationSource Format="TEX">\(120^{\circ }\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mn>120</mn> <mo>∘</mo> </msup> </math></EquationSource> </InlineEquation>. The hybrid cost of GNR interconnects, which includes resistance, depends on both the length of the interconnect and the bending angles it undergoes. This paper presents the development of a routing tree for circuits utilizing GNR interconnects, with a primary objective of minimizing the product of crosstalk effects, total resistance, and interconnect delay. Our algorithm is subjected to thorough testing using a random dataset, resulting in highly promising outcomes.</p>

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Performance-aware routing optimization for graphene nanoribbon interconnects

  • 期刊论文

  • 发表日期：

    2025年2月20日

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  • Subrata Das,
  • Arighna Deb,
  • Debesh Kumar Das,
  • Soumya Pandit

摘要

The use of graphene nanoribbon (GNR) interconnects has received significant attention in the domain of VLSI interconnects. Unlike conventional VLSI interconnects, routing GNR interconnects poses unique challenges due to their limited bending capabilities, restricted to angles of \(0^{\circ }\) 0 ∘ , \(60^{\circ }\) 60 ∘ , and \(120^{\circ }\) 120 ∘ . The hybrid cost of GNR interconnects, which includes resistance, depends on both the length of the interconnect and the bending angles it undergoes. This paper presents the development of a routing tree for circuits utilizing GNR interconnects, with a primary objective of minimizing the product of crosstalk effects, total resistance, and interconnect delay. Our algorithm is subjected to thorough testing using a random dataset, resulting in highly promising outcomes.