RapidPnR: Accelerating the Physical Design for FPGAs via Design-Level Parallelism

The runtime of physical design has become a critical issue for FPGA development as the scale and complexity of circuit designs surge with the increasing logic capacity of FPGA devices. The time-consuming process of physical design significantly extends the cycle of design iteration, which heavily impacts the efficiency of debugging and architecture optimization. To address this issue, this work proposes a generic, fully-automated and split-and-parallel physical design flow to accelerate the deployment of large-scale circuits on FPGAs. Specifically, our flow automatically partitions the synthesized netlist into multiple smaller pieces, performs parallel physical design of each piece, and then merges them into the complete design. Evaluated on a set of real circuit benchmarks, our flow reduces the runtime by more than 50% and ensures nearly the same design frequency compared to the physical design flow provided by the commercial tool Vivado.

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Publication Details

Published
2025-05-04
DOI
https://doi.org/10.1109/fccm62733.2025.00050
Primary Topic
VLSI and FPGA Design Techniques
Type
article
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article

RapidPnR: Accelerating the Physical Design for FPGAs via Design-Level Parallelism

Pingqiang Zhou, Wanzheng Weng
1 links
VLSI and FPGA Design Techniques
article

RapidPnR: Accelerating the Physical Design for FPGAs via Design-Level Parallelism

Pingqiang Zhou, Wanzheng Weng
article en

Abstract

The runtime of physical design has become a critical issue for FPGA development as the scale and complexity of circuit designs surge with the increasing logic capacity of FPGA devices. The time-consuming process of physical design significantly extends the cycle of design iteration, which heavily impacts the efficiency of debugging and architecture optimization. To address this issue, this work proposes a generic, fully-automated and split-and-parallel physical design flow to accelerate the deployment of large-scale circuits on FPGAs. Specifically, our flow automatically partitions the synthesized netlist into multiple smaller pieces, performs parallel physical design of each piece, and then merges them into the complete design. Evaluated on a set of real circuit benchmarks, our flow reduces the runtime by more than 50% and ensures nearly the same design frequency compared to the physical design flow provided by the commercial tool Vivado.

ShanghaiTech University (CN)
Affordable and clean energy
Openalex Percentile: Top 90%
VLSI and FPGA Design Techniques
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