Monolithic 3D FPGA Design and Synthesis with Back-End-of-Line Configuration Memories

This work presents a novel monolithic 3D (M3D) FPGA architecture that leverages stackable back-end-of-line (BEOL) transistors to implement configuration memory and pass gates, significantly improving area, latency, and power efficiency. By integrating n-type (W -doped In<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf>) and p-type (SnO) amorphous oxide semiconductor (AOS) transistors in the BEOL, Si SRAM configuration bits are substituted with a less leaky equivalent that can be programmed at logic-compatible voltages. BEOL-compatible AOS transistors are currently under extensive research and development in the device community, with investment by leading foundries, from which reported data is used to develop robust physics-based models in TCAD that enable circuit design. The use of AOS pass gates reduces the overhead of reconfigurable circuits by mapping FPGA switch block (SB) and connection block (CB) matrices above configurable logic blocks (CLBs), thereby increasing the proximity of logic elements and reducing latency. By interfacing with the latest Verilog-to-Routing (VTR) suite, an AOS-based M3D FPGA implemented in 7 nm technology is demonstrated with $3.4 \times$ lower area-time squared product ($\mathbf{A T}^{2}$), 27% lower critical path latency, and 26% lower reconfigurable routing block power on benchmarks including hyperdimensional computing and large language models (LLMs).

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/dac63849.2025.11132615
Citations
1
Primary Topic
Embedded Systems Design Techniques
Type
article
Field-Weighted Citation Impact
2.27
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article

Monolithic 3D FPGA Design and Synthesis with Back-End-of-Line Configuration Memories

Jason Cong, Faaiq Waqar, Shimeng Yu, Anni Lu et al.
1 citations
Embedded Systems Design Techniques
2.27
article

Monolithic 3D FPGA Design and Synthesis with Back-End-of-Line Configuration Memories

Jason Cong, Faaiq Waqar, Shimeng Yu, Anni Lu, Jiahao Zhang, Zifan He
article en
1 citations

Abstract

This work presents a novel monolithic 3D (M3D) FPGA architecture that leverages stackable back-end-of-line (BEOL) transistors to implement configuration memory and pass gates, significantly improving area, latency, and power efficiency. By integrating n-type (W -doped In<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf>) and p-type (SnO) amorphous oxide semiconductor (AOS) transistors in the BEOL, Si SRAM configuration bits are substituted with a less leaky equivalent that can be programmed at logic-compatible voltages. BEOL-compatible AOS transistors are currently under extensive research and development in the device community, with investment by leading foundries, from which reported data is used to develop robust physics-based models in TCAD that enable circuit design. The use of AOS pass gates reduces the overhead of reconfigurable circuits by mapping FPGA switch block (SB) and connection block (CB) matrices above configurable logic blocks (CLBs), thereby increasing the proximity of logic elements and reducing latency. By interfacing with the latest Verilog-to-Routing (VTR) suite, an AOS-based M3D FPGA implemented in 7 nm technology is demonstrated with $3.4 \times$ lower area-time squared product ($\mathbf{A T}^{2}$), 27% lower critical path latency, and 26% lower reconfigurable routing block power on benchmarks including hyperdimensional computing and large language models (LLMs).

Georgia Institute of Technology (US), University of California, Los Angeles (US)
Openalex Percentile: Top 12%
Embedded Systems Design Techniques
2.27
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Monolithic 3D FPGA Design and Synthesis with Back-End-of-Line Configuration Memories — Jason Cong, Faaiq Waqar, et al. · (2025) | TGRS Research Map | TGRS