Dense or Sparse? Post-Packing Interconnection Analysis in FPGAs

Packing is a crucial step of FPGA design, directly impacting interconnect complexity, routing congestion, and overall performance. This paper presents a post-packing interconnect-aware analysis, illustrating how dense (sparse) packing changes the interconnection structure. We introduce a new metric, RDensity, to define post-packing density and investigate its influence on routability. Through a comparative study of two packing tools, we demonstrate that density directly impacts routability. Our findings provide valuable insights into how packing decisions affect FPGA efficiency and offer guidance for improving FPGA packing tools and architecture design by integrating interconnect-aware methods. The goal is to achieve efficient routing while maintaining an optimal balance between cluster density, CLB pin counts, and logical block sizes.

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Publication Details

Published
2025-05-15
DOI
https://doi.org/10.1145/3728179.3728182
Primary Topic
VLSI and FPGA Design Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Dense or Sparse? Post-Packing Interconnection Analysis in FPGAs

Dirk Stroobandt, Xiaoke Wang
VLSI and FPGA Design Techniques
article

Dense or Sparse? Post-Packing Interconnection Analysis in FPGAs

Dirk Stroobandt, Xiaoke Wang
article en

Abstract

Packing is a crucial step of FPGA design, directly impacting interconnect complexity, routing congestion, and overall performance. This paper presents a post-packing interconnect-aware analysis, illustrating how dense (sparse) packing changes the interconnection structure. We introduce a new metric, RDensity, to define post-packing density and investigate its influence on routability. Through a comparative study of two packing tools, we demonstrate that density directly impacts routability. Our findings provide valuable insights into how packing decisions affect FPGA efficiency and offer guidance for improving FPGA packing tools and architecture design by integrating interconnect-aware methods. The goal is to achieve efficient routing while maintaining an optimal balance between cluster density, CLB pin counts, and logical block sizes.

Ghent University (BE)
China Scholarship Council
Openalex Percentile: Top 91%
VLSI and FPGA Design Techniques
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