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https://github.com/mopfel-winrux/NockPU
Quartus project file for NockPU
https://github.com/mopfel-winrux/NockPU
Last synced: 3 months ago
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Quartus project file for NockPU
- Host: GitHub
- URL: https://github.com/mopfel-winrux/NockPU
- Owner: mopfel-winrux
- Created: 2021-10-29T20:17:52.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-07-25T14:43:08.000Z (3 months ago)
- Last Synced: 2024-07-25T22:17:03.331Z (3 months ago)
- Language: Verilog
- Size: 1.08 MB
- Stars: 32
- Watchers: 1
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-urbit - NockPU
README
# NockPU
This repository contains Verilog code used to produce hardware that can execute Nock code directly.
Design and Reference documentation along with a general chat can be found by joining the urbit group:
`~mopfel-winrux/NockPU`
## How to run
This project can be simulated with `iverilog` and the waveform can be viewed with `gtkwave`. Please make sure those are installed on your system.
To compile the project run
`iverilog -o npu.vvp -c command_file`
This will create a file called `npu.vvp`. This can be simulated with `vvp` using the following command
`vvp npu.vvp`
When the simulation stops you can type `finish` to stop the simulation. This will create a file called `waveform.vcd` which will contain the waveform of the model.
This can be viewed using `gtkwave`:
`gtkwave waveform.vcd`
# Project Layout
In the `verilog` folder there is the verilog code that can be synthesized into hardware.
The `simulation` folder contains the ModelSim project files that are used to run simulations of the hardware.
The `synthesis` folder contains the Quartus project file that is used to synthesize the verilog code into hardware.
The `memory` folder contains memory files that can be loaded onto the synthesized SRAM.
The `testbenches` folder contains wrapper classes for different verilog modules to perform unit tests.
It contains Quartus and ModelSim project files . The synthesis and simulation folders respectively
## Acknowledgement
This work has been made possible by a Grant from [Tacen](https://www.tacen.com).