FABulous is designed to fulfill the objectives of ease of use, maximum portability to different process nodes, good control for customization, and delivering good area, power, and performance characteristics of the generated FPGA fabrics. The framework provides templates for logic, arithmetic, memory, and I/O blocks that can be easily stitched together, whilst enabling users to add their own fully customized blocks and primitives.
The FABulous ecosystem generates the embedded FPGA fabric for chip fabrication, integrates YosysHQ toolchain release packages, deals with the bitstream generation and provides after-fabrication tests. Additionally, we plan to provide an emulation path for system development.
This guide describes everything you need to set up your system to use the FABulous ecosystem, and the full project documentation can be found here.
The following paper can be used to cite FABulous:
Dirk Koch, Nguyen Dao, Bea Healy, Jing Yu, and Andrew Attwood. 2021. FABulous: An Embedded FPGA Framework. In The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA '21). Association for Computing Machinery, New York, NY, USA, 45–56. DOI: https://doi.org/10.1145/3431920.3439302
The following packages need to be installed for generating fabric HDL models and using the FABulous front end:
- Python 3.9 or later
Install python dependencies
pip3 install -r requirements.txt
sudo apt-get install python3-tk
The following packages need to be installed for the CAD toolchain
A flow using VPR, the place and route tool from the VTR project is also available. However, this still requires Yosys, as well as the FABulous nextpnr fork, since this contains files for design synthesis.
To build the docs locally, some further Python dependencies are required - to install these, run
pip3 install -r docs/requirements.txt
from the top directory of the repository.
To set up FABulous:
git clone https://github.com/FPGA-Research-Manchester/FABulous
cd FABulous
export FAB_ROOT=`pwd`
We have provided a Python Command Line Interface (CLI) as well as a project structure for easy access of the FABulous toolchain.
The Tile folder contains all the definitions of the fabric primitive as well as the fabric matrix configuration. fabric.csv is what defining the architecture of the fabric. The FABulous project folder also contains a .FABulous folder which contains all the metadata during the generation of the fabric.
We can initiate the FABulous shell with python3 FABulous.py <project_dir>. After that you will see a shell interface which allow for interactive fabric generation. To generate a fabric we first need to run load_fabric [fabric_CSV] to load in the fabric definition. Then we can call run_FABulous_fabric to generate a fabric.
To generate a model and bitstream for a specific design call run_FABulous_bitstream npnr <dir_to_top> which will
generate a bitstream for the provided design in the same folder as the design.
To exit the shell simply type exit and this will terminate the shell.
A demo of the whole flow:
python3 FABulous.py -c demo
# In the FABulous shell (python3 FABulous.py demo)
load_fabric
run_FABulous_fabric
run_FABulous_bitstream npnr ./user_design/sequential_16bit_en.v
exit
To run a simulation of a test bitstream on the design with Icarus Verilog:
cd demo/Test
./build_test_design.sh
./run_simulation.sh
The tool also supports using TCL script to drive the build process. Assuming you have created a demo project using
python3 FABulous.py -c demo, you can call python3 FABulous.py demo -s ./demo/FABulous.tcl to run the demo flow with the TCL interface.
More details on bitstream generation can be found here.
Detailed documentation for the project can be found here
FABulator supports exploration of fabrics generated by FABulous, as well as displaying user designs.
to import a fabric into FABulator, a geometry file for the fabric is needed. This can be generated by running
load_fabric
gen_fabric # only needed once to generate matrix.csv files
gen_geometry
in the FABulous shell. This file can then be imported into FABulator. More information can be found here.