Skip to main content

A framework for simulating and implementing HDL designs

Project description

Introduction

SimplHDL is a plugin-based command-line application for simplifying FPGA and ASIC development regardless of EDA tools and flows.

The goal is to embrase structured and reusable designs by creating a generic project model that can be used in any hdl development flow regardless of project structure and EDA tool requirements.

The plugin based architecture allows for SimplHDL to be migrated into any existing project, replacing ad-hoc simulation and implmentation scripts while providing a intuitive command-line interface for HDL design and verification engineers.

I wide vararity of languges, standards and tools are supported.

HDL languages

  • Verilog / System Verilog
  • VHDL
  • Chisel
  • SystemRDL
  • IPXact
  • Vivado IP containters (.xci, .xcix)
  • Quartus IP containers (.ip)

Methodologies

  • UVM
  • OSVMM
  • UVVM
  • Cocotb
  • pyuvm

EDA Tools

  • Vivado
  • Quartus
  • Modelsim
  • Questasim
  • Xsim
  • Vcs
  • Riviera Pro
  • Xcelium (coming)
  • Verilator (coming)
  • Icarus (coming)
  • GHDL (coming)

Getting Started

SimplHDL currently works on Linux and Windows WSL. It is written in Python and can be installed with pip. To run SimplHDL Python 3.8 or later is required. The tools for the flows you wish to run also need to be installed and set up correctly in the shell environment. SimplHDL can be installed on your system's Python installation, but it is highly recommended to install and run SimplHDL in a Python virtual environment or a Conda environment.

Example

To quickly try out SimplHDL follow these steps. In this example, we will use Vivado and QuestaSim. The prerequisites are that SimplHDL install installed and Vivado and QuestaSim are correctly set up in your shell environment.

  1. Clone Git repository from GitHub
git clone https://github.com/SimplHDL/simplhdl.git
  1. install SimplHDL from source
pip install ./simplhdl
  1. Run simulation
cd simplhdl/examples/hdl/alu/sim
simpl questasim
  1. Run simulation interactively in Gui.
cd simplhdl/examples/hdl/alu/sim
simpl questasim --gui
  1. Run implementation
cd ../syn
simpl vivado
  1. Run implementation interactively in Gui.
simpl vivado --gui

In this example, the project specification is written in Yaml. This format is only meant as a demonstration. To integrate SimplHDL into your project, you have to write a parser plugin for your specific project specification format. See the documentation and plugin examples for more information.

Links

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

simplhdl-0.2.3.tar.gz (266.5 kB view details)

Uploaded Source

Built Distribution

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

SimplHDL-0.2.3-py3-none-any.whl (78.0 kB view details)

Uploaded Python 3

File details

Details for the file simplhdl-0.2.3.tar.gz.

File metadata

  • Download URL: simplhdl-0.2.3.tar.gz
  • Upload date:
  • Size: 266.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for simplhdl-0.2.3.tar.gz
Algorithm Hash digest
SHA256 14674d743b3fae0a9ea7cea16b1c1fb21ba55640b0d595bfafb09fde93fb9131
MD5 94dd6394adcccf5773bdaf155dca4d4f
BLAKE2b-256 45d32a8cea67e9fb47a609487aa64994efc74c712bf09c320918dcfc6242bd35

See more details on using hashes here.

Provenance

The following attestation bundles were made for simplhdl-0.2.3.tar.gz:

Publisher: publish.yml on SimplHDL/simplhdl

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file SimplHDL-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: SimplHDL-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 78.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for SimplHDL-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 ce6c30f41c5009c0ffd404a51d242771b8b49843459e22dd0073ce6691201320
MD5 0b686bc6730969595bb9ee3d9b883d46
BLAKE2b-256 d190d0344810b3bae33a98af645d55abe0fac4df784ecf2d27a20d91781d9608

See more details on using hashes here.

Provenance

The following attestation bundles were made for SimplHDL-0.2.3-py3-none-any.whl:

Publisher: publish.yml on SimplHDL/simplhdl

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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