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Frankly speaking, CUDA support is currently in very bad shape on all platforms. There is no, generally reliable, approach for Linux and Windows.
Any benchmark comparison 12.3 vs 12.3.1 on M1 ??? So far presented results (see [here][1]) shows surprisingly small performance improvement of the native M1 MMA version. [1]:...
The current situation of Mathematica CUDA support for recent NVIDIA GPUs is really terrible. Try to compare with recent MATLAB R2021a support, where overall CUDA performance on similar tasks (discussed here) is far more better. Wolfram Research...
Itai, thanks for update. Could you post here Mathematica benchmark results for all three Apple M1 machines? This information is crucial for all Mathematica users which are planning to buy Apple M1 HW during near future.
First of all, the current Mathematica support of CUDA is still very limited. Another tools (MATLAB) provides significantly better GPU computing capabilities. NVIDIA CUDA is not only machine learning engine, this is a highly optimized eco-system...
I have some experience with Maple and especially with Physics package, which is really powerful tool to do very complex symbolic math operations in general Physics. Now I decide if it is appropriate to start using Mma instead of Maple. Is there any...
Szabolcs, please answer me frankly: is there any serious reason why to use Mathematica 12 for any kind of networks or graphs research? From my point of view the Mathematica is going to be a more and more the magic black box tool, which is able to...
Dataset are not obviously designed for small datasets (15MB CSV file???!!! ), too. Ones again, welcome to the Wolfram's world of big data processing!
Dan, that is all you are able to say??? This report clearly shows, that Mathematica symbolic capabilities for PDE are dramatically poor. Wolfram developers should work very hard on this topic instead of introducing numerous bizare new...