exposure-notifications-server VS taichi

Not a small one, but a real-life one, the exposure-notifications-server is usually what I like to recommend, keep in mind that you probably need a bit of Go knowledge and context before looking at it so perhaps it isn't the best introductory project to look at; however I recommend you to bookmark it for future reference.

Here, I can even link you to an article of how exposure notifications work: https://www.google.com/covid19/exposurenotifications/

Google's Exposure Notification Reference Serve is a real life example of what you're asking for.

Which is just a massive misunderstanding of how the contact tracing API works, even if you do believe that it was "surreptitiously installed ... on users [sic] phones".

https://www.google.com/covid19/exposurenotifications/ (“The Exposure Notifications System was introduced in an update to Google Play Services. This update did not automatically turn on Exposure Notifications or enable any Exposure Notifications functionality. Exposure Notifications only works if you decide to opt-in.”) Android 6.0 and above.

Source: https://www.google.com/covid19/exposurenotifications/

taichi – Productive, portable, and performant GPU programming in Python

ETH Zurich is using it for their physics sim courses, University of Utah is using it for simulations (SIGGRAPH 2022), OPPO (they make smart devices running Android), Kuaishou uses it for liquid and gas simulation on GPUs. Lots of GPU accelerated sim stuff.

https://www.taichi-lang.org/

https://www.researchgate.net/publication/337118128_Taichi_a_...

https://github.com/taichi-dev/taichi

Check our the realease note (https://github.com/taichi-dev/taichi/releases) for more improvements.

I've recently started using Taichi (https://taichi-lang.org/) for numerical codes and the fact it doesn't try to trick you into thinking it's numpy is a nice "feature". ;)

Taichi v1.4.0 is released! See what's new: - Taichi AOT, along with a native Taichi Runtime library: Native applications can now load compiled AOT modules and launch Taichi kernels without a Python interpreter. - Taichi ndarray: An array object that holds contiguous multi-dimensional data to allow easy data exchange with external libraries. - Dynamic index: Use variable indices whenever necessary on all backends without affecting the performance of those matrices with only constant indices. See deprecation and more improvements in the release note.

Oh, then if you're not already tied to any particular VFX software, I might as well recommend Taichi again.

It's an upgrade of a basic version. See changes to the source code here: https://github.com/taichi-dev/taichi/pull/6851