Multi-Row Standard Cell Layout Synthesis with Enhanced Scalability

Multi-Row standard cells are widely adopted in advanced technology nodes, especially for complicated and large cells like multi-bit flip-flops(MBFFs). Due to reduced cell heights and routing tracks, designing standard cell layouts in advanced technology nodes becomes increasingly challenging. Automatic standard cell layout synthesis is being actively explored. However, existing methods face scalability issues when synthesizing large-scale multi-row cells. In this paper, we propose a multi-row cell layout synthesis flow that addresses such scalability issue through a hierarchical approach, including transistor clustering, SMT-based row assignment, transistor-level and cluster-level placement, and genetic-algorithm-based sequential routing, which collectively enables efficient handling of large-scale designs. Experimental results on an industrial 7nm FinFET library demonstrate the ability to handle designs with up to 152 transistors, achieving area reductions up to 23% on large MBFF cells and reducing runtime by up to 36× compared to prior methods.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/iseda65950.2025.11101126
Citations
2
Primary Topic
VLSI and FPGA Design Techniques
Type
article
Field-Weighted Citation Impact
1.46
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article

Multi-Row Standard Cell Layout Synthesis with Enhanced Scalability

Yibo Lin, Kelei Guo
2 citations
VLSI and FPGA Design Techniques
1.46
article

Multi-Row Standard Cell Layout Synthesis with Enhanced Scalability

Yibo Lin, Kelei Guo
article en
2 citations

Abstract

Multi-Row standard cells are widely adopted in advanced technology nodes, especially for complicated and large cells like multi-bit flip-flops(MBFFs). Due to reduced cell heights and routing tracks, designing standard cell layouts in advanced technology nodes becomes increasingly challenging. Automatic standard cell layout synthesis is being actively explored. However, existing methods face scalability issues when synthesizing large-scale multi-row cells. In this paper, we propose a multi-row cell layout synthesis flow that addresses such scalability issue through a hierarchical approach, including transistor clustering, SMT-based row assignment, transistor-level and cluster-level placement, and genetic-algorithm-based sequential routing, which collectively enables efficient handling of large-scale designs. Experimental results on an industrial 7nm FinFET library demonstrate the ability to handle designs with up to 152 transistors, achieving area reductions up to 23% on large MBFF cells and reducing runtime by up to 36× compared to prior methods.

Peking University (CN)
Openalex Percentile: Top 16%
VLSI and FPGA Design Techniques
1.46
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