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iEDA

An open-source EDA infracstrucutre and tools from netlist to GDS for ASIC design.

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iEDA Homepage:ieda.oscc.cc

About iEDA

  • About “i”in iEDA
    • Meaning 1: Infrastructure
    • Meaning 2: Intelligent
  • The goal of the iEDA project
    • EDA Infrastructure
    • High quality and performance EDA tool
  • Open-source is not a goal but a way

Main Contents and Plans

  • Enhance the infrastructure to support more design requirement
  • Complete the EDA tool chain from RTL-GDS II
  • Improve the quality and performance of all EDA tool operations
  • Construct AI for EDA platform and introduce trained AI model to the EDA platform
  • Build data system with enough chip design and labeling process data
  • Achieve the adaptability of the EDA platform for cloud-native
iEDA_framework

iEDA Structure

iEDA_structure

iEDA Infrastructure

iEDA_infrastructure

iEDA Operations (Tools)

iEDA_operation

iEDA Tapeout

iEDA_tapeout

🎉 News:

Presentation in ISEDA-2023, May-09 2023, Nanjing, China, Session 2: iEDA: An Open-Source Intelligent Physical lmplementation Toolkit and Library [paper, slides],and Panel 4 Is ML a real cure for modern design automation?, and Panel 6 Open-source EDA and Standards


Papers and Presentations

  • ISEDA 2023: iEDA:An Open-Source Intelligent Physical Implementation Toolkit and Library [paper, slides]

iEDA User Guide

Before designing chip by iEDA,you need to obtain the execution binary of iEDA.

If you need to modify iEDA through source code construction, please read in sequence.

You can also directly use the latest release docker, then you can skip "1. Source code construction of iEDA".

PS: you can refer Docker install and initilization to know how to install Docker.

1. Build iEDA from source code

We provide two methods for source code construction of iEDA as examples.

Method 1. Use the iEDA mirror (Redommended)

Download the latest “iedaopensource/base” mirror from Dockerhub, which includes the latest master branch code and dependencies (build tools and dependency libraries). You can also use the ‘-v’ command to mount your own downloaded iEDA code repository. The build will only use the compile tools and dependency libraries provided by the mirror.

The current directory after entering the container is the iEDA master branch code, refering the following commands:

# ieda opensource/base:(latest, ubuntu, debian)
docker run -it --rm iedaopensource/base:latest bash 
# enter docker and run build.sh to build
bash build.sh
# if output "Hello iEDA!", then compile successfully
./bin/iEDA -script scripts/hello.tcl

We have ubuntu(Ubuntu20.04)and debian(Debian11)mirror tag.

Method 2. Install dependencies and compile

installing command on Ubuntu 20.04:

# download iEDA repo
git clone https://gitee.com/oscc-project/iEDA.git iEDA && cd iEDA
# compile dependencies with an apt installation requires root permission
sudo bash build.sh -i apt
# comple iEDA
bash build.sh
# if output "Hello iEDA!", then compile successfully
./bin/iEDA -script scripts/hello.tcl

2. Design chip by using iEDA

Here, two iEDA operation methods are provided for reference

About how to use iEDA, please refer Tcl command manual and the tool instruction docs of readme.md in src/operation.

Method 1. Run release or demo mirror(Redommended)

If you need to use custom processes and designs, mount the associated files into the docker to run. About the structure and the corresponding config files, please refer the demo in scripts/sky130.

docker run -it -v ${file directory of pdk and design}:${file directory in docker} --rm iedaopensource/release:latest

Method 2. Compile iEDA binary and run

Refering the file directory in scripts/sky130,add the path of iEDA execution binary into the system path variable $PATH, and runing sh run_iEDA.sh,and seeing the result in result.

iEDA/scripts/sky130
├── iEDA_config   # iEDA parameters configuration files
├── lef           # lef files
├── lib           # lib files
├── result        # iEDA result output files
├── script        # Tcl script files
├── sdc           # sdc files
├── run_iEDA.py   # Python3 script for running iEDA
└── run_iEDA.sh   # POSIX shell script for running iEDA

Contribution Guide

Fork this iEDA repository,after adding and commiting code, please summit Pull Request

Please note the using Coding Style of iEDA。

Discussion

  • Create issue in repo
  • QQ Group:793409748
  • WeChat Group:
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License

MulanPSL-2.0

Acknowledgement

In the development of iEDA, some sub-modules from the open-source community are employed. All relevant usage is listed below.

Sub-module Source Detail
flute3 FastRoute Generate rectange steiner tree by flute3.
abseil-cpp Google abseil Use Google's high performance C++ container and algorithm library to improve performance compared to STL.
json JSON for Modern C++ Json C++ library, used to parse the program Json configuration file.
magic_enum Static reflection for enums (to string, from string, iteration) Supports the conversion of enum values and character strings.
libfort Seleznev Anton libfort The C/C++ library produces formatted ASCII tables.
pegtl PEGTL(Parsing Expression Grammar Template Library) Use PEGTL to parse SPEF files easily.
pybind11 pybind 11 Easy for python to call C++.
VCDParser ben-marshall verilog-vcd-parser Parse power VCD waveform file.
def lef def lef parser Parse physical layout and design DEF/LEF files.
ThreadPool Jakob Progsch, Václav Zeman threadpool C++11 template library implementation of multithreaded pool.
fft fft Fast Fourier transform library.
hMETIS hMETIS Efficient graph partitioning algorithm.
lemon lemon Efficient modeling and optimization in graphs and networks.
SALT SALT Generating VLSI routing topology, It trades off between path length (shallowness) and wirelength (lightness).
scipoptsuite SCIP It is used to quickly solve mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP).
parser/verilog OpenROAD/OpenSTA/verilog parse netlist file .
mt-kahypar mt-kahypar Multi-Threaded Karlsruhe Hypergraph Partitioner .

We are grateful for the support of the open-source community and encourage other open-source projects to reuse our code within the scope of the MulanPSL-2.0.

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  • C++ 88.0%
  • Verilog 4.7%
  • Rust 4.3%
  • CMake 1.7%
  • Tcl 1.0%
  • Python 0.1%
  • Other 0.2%