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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
GPU-accelerated micromagnetic simulator
| Date | Stars |
|---|---|
| 2026-07-24 | 498 |
| 2026-07-25 | 498 |
| 2026-07-28 | 498 |
| 2026-07-30 | 498 |
| 2026-08-06 | 498 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
5.0
growth rate 0.00%/day
<!-- markdownlint-disable MD033 -->
# mumax³
**GPU-accelerated micromagnetism.**
Paper on the design and verification of MuMax3: <http://scitation.aip.org/content/aip/journal/adva/4/10/10.1063/1.4899186>
<!-- [](https://travis-ci.org/mumax/3) -->
## Downloads and documentation
👉 Pre-compiled binaries, examples, and documentation are available on the [mumax³ homepage](https://mumax.github.io).
Documentation of several tools, like `mumax3-convert`, is available [here](https://godoc.org/github.com/mumax/3/cmd).
## Contributing
Contributions are gratefully accepted. To contribute code, fork our GitHub repo and send a pull request.
## Building from source
Consider downloading a [pre-compiled mumax³ binary](https://mumax.github.io/download.html).
If you want to compile nevertheless, 4 essential components will be required to build mumax³: an ***NVIDIA driver***, ***Go***, ***CUDA*** (≤12.9) and ***C***.
* *If they are not yet present on your system*: install them as detailed below.
* *If they are already installed*: check if they work correctly by running the *check* for each component written below.
Click on the arrows below to expand the installation instructions:<br><sub><sup>These instructions were made for Windows 10 and Ubuntu 22.04 (but should be applicable to all Debian systems). Your mileage may vary.</sup></sub>
<details><summary><b><i>Install an NVIDIA driver</i></b></summary>
* **Windows**: Find a suitable driver [here](https://www.nvidia.com/en-us/drivers/).
* **Linux**: [Install the NVIDIA proprietary driver](https://www.nvidia.com/en-us/drivers/unix/). <!-- version 440.44 recommended --><details><summary>Troubleshooting Linux →click here←</summary>
If the following error occurs, proceed as follows:
```batch
nvidia-smi has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running
```
1) Check for existing NVIDIA drivers.
* Run `dpkg -l | grep nvidia` to see if any NVIDIA drivers are installed.
* If it shows some drivers, you might want to uninstall them before proceeding with the clean installation: `sudo apt-get --purge remove '*nvidia*'`
2) Update system packages. Make sure your system is up to date with `sudo apt update` and `sudo apt upgrade`.
3) (Optional but recommended:) Add the official NVIDIA PPA to ensure you have access to the latest NVIDIA drivers with `sudo add-apt-repository ppa:graphics-drivers/ppa` and `sudo apt update`.
4) Install the recommended driver. Ubuntu can automatically detect and recommend the right NVIDIA driver for your system with the command `ubuntu-drivers devices`. This will list the available drivers for your GPU and mark the recommended one. <br> To install the recommended NVIDIA driver, use `sudo apt install nvidia-driver-<version>` (replace `<version>` with the number of the recommended driver e.g., nvidia-driver-535)
5) Reboot your system with `sudo reboot` to apply the changes.
6) Verify the installation with `nvidia-smi`. This returns something like this, which shows you the driver version in the top center:
```bash
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 552.22 Driver Version: 552.22 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 3080 ... WDDM | 00000000:01:00.0 Off | N/Excerpt of 15,940 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:84c0f8c4128c5a78, topic:cuda
matched fp:84c0f8c4128c5a78, topic:scientific-computing