HeLEM-GR: Heterogeneous Global Routing with Linearized Exponential Multiplier Method

Global routing (GR) plays an important role in the VLSI design flow. It not only serves as guidance for the follow-up detailed routing but also provides early design feedback for floorplanning and placement. Global routing engines are desired to provide a high-quality solution within a short time. With the design complexity growing, it becomes increasingly challenging to resolve routing overflow within affordable runtime. For example, ISPD 2024 GPU/ML-enhanced global routing contest has released large-scale industrial cases, which contain up to 50 million cells and 60 million signal nets, causing huge challenges to existing routing algorithms. In this paper, we propose HeLEM-GR, based on the linearized exponential multiplier method and heterogeneous routing kernels to achieve high-quality and ultrafast routing solutions. Our linearized exponential multiplier method can quickly reduce routing overflow. The routing process is extremely fast with GPU-enhanced massive parallelization. Experimental results demonstrate that we can achieve 4.8%-5.8% better quality scores and 1.62×-2.07× speedup compared with the top-3 winners in the ISPD 2024 contest.

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Publication Details

Published
2024-10-27
DOI
https://doi.org/10.1145/3676536.3676650
Citations
5
Primary Topic
VLSI and FPGA Design Techniques
Type
article
Field-Weighted Citation Impact
1.04

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HeLEM-GR: Heterogeneous Global Routing with Linearized Exponential Multiplier Method

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5 citations
VLSI and FPGA Design Techniques
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article

HeLEM-GR: Heterogeneous Global Routing with Linearized Exponential Multiplier Method

Yibo Lin, Zaiwen Wen, Chunyuan Zhao, Zizheng Guo, Rui Wang, Yun Liang
article en
5 citations

Abstract

Global routing (GR) plays an important role in the VLSI design flow. It not only serves as guidance for the follow-up detailed routing but also provides early design feedback for floorplanning and placement. Global routing engines are desired to provide a high-quality solution within a short time. With the design complexity growing, it becomes increasingly challenging to resolve routing overflow within affordable runtime. For example, ISPD 2024 GPU/ML-enhanced global routing contest has released large-scale industrial cases, which contain up to 50 million cells and 60 million signal nets, causing huge challenges to existing routing algorithms. In this paper, we propose HeLEM-GR, based on the linearized exponential multiplier method and heterogeneous routing kernels to achieve high-quality and ultrafast routing solutions. Our linearized exponential multiplier method can quickly reduce routing overflow. The routing process is extremely fast with GPU-enhanced massive parallelization. Experimental results demonstrate that we can achieve 4.8%-5.8% better quality scores and 1.62×-2.07× speedup compared with the top-3 winners in the ISPD 2024 contest.

Peking University (CN), Southwestern University of Finance and Economics (CN), Peking University International Hospital (CN)
National Science Foundation, National Natural Science Foundation of China, Higher Education Discipline Innovation Project
Openalex Percentile: Top 22%
VLSI and FPGA Design Techniques
1.04
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