WeatherBrier

4 ms·

1. 1.▲
   by WeatherBrier 2y ago

   The part about C++ is true, when you need to use a combination of SIMD/CUDA/MPI there is no game in town but C++. The ecosystem is so vast, we rely on too many scientific/numerical libraries that took tiny armies of grad stud
2. 2.▲
   by WeatherBrier 2y ago

   I feel the opposite, they really are focused on being a language that's great for AI and heterogeneous compute, since that's what Modular is focused on. But the features are attractive for other use cases, it has access to MLIR, c
3. 3.▲
   by WeatherBrier 2y ago

   I am really enjoying the language, the level of improvement over the last few months has been amazing. At work all our heterogeneous compute needs are implemented using C++/CUDA. I've been exploring new languages for the type of w
4. 4.▲
   by WeatherBrier 3y ago

   I feel the same way, I love using Julia, but the features that Mojo provides are exciting. It's great that we have both of them.
5. 5.▲
   by WeatherBrier 3y ago

   The language is far from stable, but I have had a LOT of fun writing Mojo code. I was surprised by that! The only promising new languages for low-level numerical coding that can dislodge C/C++/Fortran somewhat, in my opinion, have