Skip to main content

ORDeC

Project description

ORDeC

License REUSE status ORDeC on PyPI Read the Docs GitHub Actions Workflow Status

ORDeC (Open Rapid Design Composer) is an open-source custom IC design platform. Its goal is to provide an accessible and streamlined interface to design and analyze analog, mixed-signal and custom digital integrated circuits from schematic to layout. ORDeC consists of:

  • the ORD hardware description language (HDL) for design entry,
  • a data model and data structures for representing IC design data (such as schematics),
  • external tool integration (e.g. to Ngspice for simulation),
  • a web interface for immediate graphical feedback during the design process.

ORDeC is developed by the Mixed Signal Circuit Design Group at Technische Universität Berlin.

The development of ORDeC is currently at an early, experimental stage. The main branch of this repository provides a working demo of some basic features and ideas:

Getting Started

The easiest way to get started is via Docker:

docker pull ghcr.io/tub-msc/ordec:latest
docker run --rm -p 127.0.0.1:8100:8100 -it ghcr.io/tub-msc/ordec:latest

Then, access the web interface via the generated URL and try out examples.

Web interface screenshot

Further documentation is located in the docs/ folder and is available online: https://ordec.readthedocs.io/

Motivation

ORDeC's goal is to provide an accessible and streamlined interface to design and analyze analog, mixed-signal and custom digital integrated circuits from schematic to layout.

Established open-source interfaces for IC design are mostly based on old-fashioned technologies (Tcl/Tk, C etc.) and lack a coherent experience across design stages such as schematic entry, simulation and layout. ORDeC offers a hardware description language (HDL) and interactive web interface across design stages. In the future, a public web-based ORDeC instance might make it possible to get started in custom IC design without any local setup. ORDeC's core is written in Python and is designed to make it easy to analyze and transform design data.

Why a new HDL instead of a WYSIWYG interface? The motivation is to make custom IC design more software-like. Design data is made transparent and suitable for software-style version control (e.g. Git), which improves maintainability and makes it possible to adapt workflows from software engineering.

Further goals of ORDeC are: built-in support for open PDKs, and visualizing silicon area and energy efficiency as sustainability design parameters.

Contact

Questions and feedback via GitHub issues are welcome! Alternatively, feel free to email Tobias Kaiser (kaiser@tu-berlin.de).

Acknowledgements

This work is supported by the German Federal Ministry of Research, Technology and Space (BMFTR) under grant 16ME0996 (DI-ORDeC).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ordec-0.2.0.tar.gz (538.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ordec-0.2.0-py3-none-any.whl (523.1 kB view details)

Uploaded Python 3

File details

Details for the file ordec-0.2.0.tar.gz.

File metadata

  • Download URL: ordec-0.2.0.tar.gz
  • Upload date:
  • Size: 538.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.2

File hashes

Hashes for ordec-0.2.0.tar.gz
Algorithm Hash digest
SHA256 e2e43a3bd3b159ac698ffe494ced8c3367b8971281493e2a45aa5387c6871d07
MD5 d9551271797d2d42cf754d82d8939cc4
BLAKE2b-256 96a3cdf238b5f9f73dd3ad0fd2096e0a4f4398b7d127278ae4e2284dc52592cd

See more details on using hashes here.

File details

Details for the file ordec-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: ordec-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 523.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.2

File hashes

Hashes for ordec-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0e00eae96581a73f79ce60c6af2f72f8df40ffd2852fd48b45e8d00335eaeb7b
MD5 ac454ceae27f1626b9954e5179ed436c
BLAKE2b-256 cd4a6ef0aa6b889d721c21130d293c66f4c0e3541bfba4778f11c0e6c123ffd0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page