Generated Computers
Locals는 Apple Silicon 엔진으로 로컬 LLM을 최대 3배 빠르게 실행하는 Generated Computers 제품
OpenROAD의 RTL에서 GDS까지 구현하는 스크립트
OpenROAD's scripts implementing an RTL-to-GDS Flow. Documentation at https://openroad-flow-scripts.readthedocs.io/en/latest/
개발 도구Verilog · SourcePawnGitHub @The-OpenROAD-Project직접 설치운영자 미확인
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README 전체를 불러오는 중입니다.
README 전문 보기 ↗OpenROAD-flow-scripts (ORFS) is a fully autonomous, RTL-GDSII flow for rapid architecture and design space exploration, early prediction of QoR and detailed physical design implementation. However, ORFS also enables manual intervention for finer user control of individual flow stages through Tcl commands and Python APIs.
%%{init: { 'logLevel': 'debug', 'theme': 'dark'
} }%%
timeline
title RTL-GDSII Using OpenROAD-flow-scripts
Synthesis
: Inputs [RTL, SDC, .lib, .lef]
: Logic Synthesis (Yosys)
: Output files [Netlist, SDC]
Floorplan
: Floorplan Initialization
: IO placement (random)
: Timing-driven mixed-size placement
: Macro placement
: Tapcell and welltie insertion
: PDN generation
Placement
: Global placement without placed IOs
: IO placement (optimized)
: Global placement with placed IOs
: Resizing and buffering
: Detailed placement
CTS : Clock Tree Synthesis
: Timing optimization
: Filler cell insertion
Routing
: Global Routing
: Detailed Routing
Finishing
: Metal Fill insertion
: Signoff timing report
: Generate GDSII (KLayout)
: DRC/LVS check (KLayout)
There are multiple ways to install and develop OpenROAD and ORFS. However, the best option depends on your use case, experience level, and personal preference.
Recommendation for new users:
If you are new to OpenROAD-flow-scripts, Docker can be a reliable way to get started since it avoids most dependency and environment issues.On supported platforms, using the pre-built binaries can be an even simpler option as it avoids building from source.
Alternatively, the Bazel-based flow also avoids manual dependency installation (aside from installing Bazelisk itself), similar to how Docker requires installing Docker.
bazel-orfs provides a seamless, reproducible way to manage dependencies and adapt the flow without requiring manual installations(no Docker images, sudo bash scripts, etc.)
By leveraging Bazel's robust build system, all dependencies are automatically resolved, versioned, and built in a consistent environment. This eliminates setup complexity, ensures fast incremental builds, and allows for easy customization of the flow, making it an efficient choice for both beginners and advanced users.
To ease dependency installation issues, ORFS uses docker images. Docker image includes ORFS binaries, applications as well as all required dependencies. All of the flow tools are encapsulated inside the container image.
If Docker is not installed already, install latest docker tool
based on OS from here.
To manage docker as non-root user and verify that you can run
docker commands without sudo must complete steps from
here.
Document for detailed steps on docker based installation found here.
You can download, set up and run ORFS easily with pre-built binaries, including OpenROAD, Yosys and Klayout. See instructions here.
Thanks to Precision Innovations for providing and supporting OpenROAD based binaries.
Note Only the latest version of OpenROAD is guaranteed to work with the latest version of ORFS.
Disclaimer The versions of OpenROAD, Yosys and Klayout provided by other third-party vendors are not guaranteed to work with ORFS.
Document for detailed local build from sources and installation steps found here.
ORFS supports hosting projects in your own git repository without the need to fork ORFS.
To build from your own git repository:
cd /home/me/myproject
make --file=~/OpenROAD-flow-scripts/flow/Makefile DESIGN_CONFIG=somefolder/config.mk ...
If you use this software in any published work, we would appreciate a citation! Please use the following references:
@article{ajayi2019openroad,
title={OpenROAD: Toward a Self-Driving, Open-Source Digital Layout Implementation Tool Chain},
author={Ajayi, T and Blaauw, D and Chan, TB and Cheng, CK and Chhabria, VA and Choo, DK and Coltella, M and Dobre, S and Dreslinski, R and Foga{\c{c}}a, M and others},
journal={Proc. GOMACTECH},
pages={1105--1110},
year={2019}
}
A copy of this paper is available here (PDF).
@inproceedings{ajayi2019toward,
title={Toward an open-source digital flow: First learnings from the openroad project},
author={Ajayi, Tutu and Chhabria, Vidya A and Foga{\c{c}}a, Mateus and Hashemi, Soheil and Hosny, Abdelrahman and Kahng, Andrew B and Kim, Minsoo and Lee, Jeongsup and Mallappa, Uday and Neseem, Marina and others},
booktitle={Proceedings of the 56th Annual Design Automation Conference 2019},
pages={1--4},
year={2019}
}
A copy of this paper is available here (PDF).
If you like the tools, please give us a star on our GitHub repos!
The OpenROAD-flow-scripts repository (build and run scripts) has a BSD 3-Clause License. The flow relies on several tools, platforms and designs that each have their own licenses:
OpenROAD-flow-scripts/tools/{tool}/ or OpenROAD-flow-scripts/tools/OpenROAD/src/{tool}/.OpenROAD-flow-scripts/flow/platforms/{platform}/.OpenROAD-flow-scripts/flow/designs/src/{design}/.