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Be sure to check out the comments on the page - lots of optimisations for the julia code.
Not if you want to avoid condescending "I cannot look at the Python code my eyes hurt" comments. Good to know the Julia community hasn't made any progress in that regard, though.
Does anyone know of examples of Mojo for GPU computations? The website makes multiple claims about it being able to run seamlessly on the GPU but I couldn't find any documentation on it...
The language is really new, it only supports amd64 Linux at the moment (at least publicly)
> Write Python or scale all the way down to the metal. Program the multitude of low-level AI hardware. No C++ or CUDA required.
I just thought they might already have something to show on that end...
tldr: in the test's first implementation mojo was faster but then the refactored and made the julia code faster by 8x over mojo. that's cool but mojo literally just came out
We have seen many languages cycle in popularity, but Julia is one of the few high-level languages that could actually match... or in some cases exceed C/C++ performance. There are always tradeoffs, and it usually takes a few weeks for people to come to terms with why Julia is unique. Definitely falls into the fun category. =)
has anyone seen programs like that?
Earlier quoted context omitted.
We have seen many languages cycle in popularity, but Julia is one of the few high-level languages that could actually match... or in some cases exceed C/C++ performance. There are always tradeoffs, and it usually takes a few weeks for people to come to terms with why Julia is unique. Definitely falls into the fun category. =)
How can Julia exceed C/C++ performance?
https://fortran-lang.discourse.group/t/fortran-is-faster-tha...
Mojo released an example of their new language which will mean readability and simplicity compared to the Python implementation will surely have been a requirement… I get someone within Modular doing some horrific looking low-level Mojo stuff could get it much quicker.
Earlier quoted context omitted.
We have seen many languages cycle in popularity, but Julia is one of the few high-level languages that could actually match... or in some cases exceed C/C++ performance. There are always tradeoffs, and it usually takes a few weeks for people to come to terms with why Julia is unique. Definitely falls into the fun category. =)
How can Julia exceed C/C++ performance?
In general though it's just a question of which hoops you have to jump through for which language comparing C/C++/Julia/Fortran when using LLVM