Hw-ci - Hardware CD/CI and Development Container

Related tags

DevOps Toolshw-ci
Overview

Hardware CI & Dev Containter

Slim Container Size Full Container Size
Slim Container Size

These containers were created for my personal hardware development projects and courses duing my undergraduate degree. Please feel free to use them and give feedback, as I am always looking to improve them. hdl/containers also have a great selection of containers designed for hardware development, so be sure to check them out as well.

Getting Started

To get started with this container, pull either the slim or full variants from the Docker:

docker pull mluckydwyer/hw-ci:slim
docker pull mluckydwyer/hw-ci:full

This container also has support for VScode Development Containers and Github Code Spaces. In both cases, the full variant will be used, as it is intended for development and includes additional tools (See the Tools sections for more details).

Tools

This container is split into two variants, slim and full. The slim variant contains all of the primary simulation and testing tools needed for CD/CI hardware development and is intended to be used unattended. The full variant is built on top of the slim container and also includes additional tools that are useful when using the container for development. See the table below for additional details:

Tool Slim Full
Base OS Centos 7 Centos 7
Size (Download) ~4.6 GB ~5.2 GB
Size (Extracted) ~11.5 GB ~14 GB
Modelsim 20.1.1.720 (Intel) ✅ ✅
Verilator ✅ ✅
GHDL ✅ ✅
CocoTB + AXI, Coverage, and Pytest Plugins ✅ ✅
VUnit ✅ ✅
Python 3.6.14 ✅ ✅
Pytest + Plugins ✅ ✅
GCC 8 + GNAT (Ada Core 2017) + Make ✅ ✅
VNC (NoVNC Web Server) ✅
VSCode Server ✅
Matplotlib (Python) ✅
Debugpy + Remote_pdb (Python) ✅
Yowasp-Yosys + VSG (Python) ✅
TerosHDL (VSCode) ✅
GTKWave ✅
Firefox ✅
CMake ✅
Zsh ✅
Vim + Nano ✅
Sudo + Wget + Htop ✅
GUI Tool Helper Scripts ✅

CprE 480: GPU Architecture (Iowa State)

This container was originally created for the verifiaction of the OpenGL complient GPUs desined in this course. Thus, it purposefully includes VHDL simulation tools and Pytest support to make verification as easy as possible. For templates of lab verificaiton testbenches and automated Gitlab and Github Actions, please reach out to me either over e-mail or the alumni channel in Discord.

Contributors over time

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Comments
  • Fix Questa 22.2 installation

    Fix Questa 22.2 installation

    Questa now requires two separate files as installer.

    What remains to be done is to properly handle passing the license file to the container:

    To run the system the current command would be:

    docker run -v <path to license>:/license.dat -e LM_LICENSE_FILE=/license.dat --mac-address=<chosen mac> <cmd>

    where the mac address needs to be provided as NIC ID when obtaining a license from Intel. To force the MAC address in a Gitlab Runner container, there is a workaround (disclaimer: I did not test it).

    opened by dopsi 1
Releases(v1.2)
Owner
Matthew Dwyer
I am a grad student at Iowa State University studying Computer Engineering focusing on GPU Architecture, Computer Graphics, GPUGP Acceleration, and ML.
Matthew Dwyer
GitHub Repository
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