Physical Design and Analysis of RISC-V Processor Modules Using Synopsys EDA Tools (32nm)

The growing demand for high-performance and energy-efficient computing systems has accelerated the adoption of the RISC-V instruction set architecture (ISA). Its open-source nature, modular design, and flexibility have positioned RISC-V as a strong candidate for next-generation processors in embedded systems, AI accelerators, and edge devices. While numerous studies have addressed front-end design and FPGA implementations of RISC-V cores, relatively fewer works present detailed back-end (physical design) flows using industry-standard tools. This paper contributes a comprehensive RTL-to-GDSII implementation methodology of two representative RISC-V processor modules, an Integer Execution Unit (EXU) and a 5-stage Pipeline Core (RV32I baseline), using Synopsys EDA tools. The work emphasizes the complete back-end flow including logic synthesis, floorplanning, placement, clock tree synthesis, routing, and signoff verification. A 32nm standard-cell technology library was employed to evaluate these modules. The flow achieved signoff-clean layouts with zero DRC and LVS violations, while successfully meeting timing closure targets for both modules at 500 MHz (EXU achieved 517 MHz, Pipeline Core achieved 505 MHz). The EXU occupied 81,110 µm² with 5.08 mW total power, and the Pipeline Core occupied 245,150 µm² with 13.62 mW total power. These results confirm that professional EDA flows can produce efficient, manufacturable layouts for open-source RISC-V designs, reinforcing the feasibility of integrating such architectures in commercial SoCs and serving as a practical reference for the VLSI community.

Authors

Publication Details

Published
2025-08-29
DOI
https://doi.org/10.36227/techrxiv.175647985.57192872/v1
Citations
1
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Physical Design and Analysis of RISC-V Processor Modules Using Synopsys EDA Tools (32nm)

Pachigolla Venkata Sai Naga Bhushanam
1 citations
Advancements in Semiconductor Devices and Circuit Design
0.73
article

Physical Design and Analysis of RISC-V Processor Modules Using Synopsys EDA Tools (32nm)

Pachigolla Venkata Sai Naga Bhushanam
article en
1 citations

Abstract

The growing demand for high-performance and energy-efficient computing systems has accelerated the adoption of the RISC-V instruction set architecture (ISA). Its open-source nature, modular design, and flexibility have positioned RISC-V as a strong candidate for next-generation processors in embedded systems, AI accelerators, and edge devices. While numerous studies have addressed front-end design and FPGA implementations of RISC-V cores, relatively fewer works present detailed back-end (physical design) flows using industry-standard tools. This paper contributes a comprehensive RTL-to-GDSII implementation methodology of two representative RISC-V processor modules, an Integer Execution Unit (EXU) and a 5-stage Pipeline Core (RV32I baseline), using Synopsys EDA tools. The work emphasizes the complete back-end flow including logic synthesis, floorplanning, placement, clock tree synthesis, routing, and signoff verification. A 32nm standard-cell technology library was employed to evaluate these modules. The flow achieved signoff-clean layouts with zero DRC and LVS violations, while successfully meeting timing closure targets for both modules at 500 MHz (EXU achieved 517 MHz, Pipeline Core achieved 505 MHz). The EXU occupied 81,110 µm² with 5.08 mW total power, and the Pipeline Core occupied 245,150 µm² with 13.62 mW total power. These results confirm that professional EDA flows can produce efficient, manufacturable layouts for open-source RISC-V designs, reinforcing the feasibility of integrating such architectures in commercial SoCs and serving as a practical reference for the VLSI community.

Openalex Percentile: Top 24%
Advancements in Semiconductor Devices and Circuit Design
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.