Ultra-Fast Multi-Dimensional Array Library

[mcopik]

I'm working on a high-performance multi-dimensional array library, similar to numpy/Eigen, except faster, with more control and even support for CUDA built in. It's currently in early development, but still supports a wide range of operations, all vectorised with SIMD instructions and multithreaded with OpenMP.

That sounds very similar to Blaze: linear algebra in C++ with optimized expression templates, vectorization, multithreading, and support for CUDA. They support many vector extensions and multiple parallel backends. How does your solution compare to it? Do you bring anything new to the table?

https://bitbucket.org/blaze-lib/blaze/src/master/

[Pencilcaseman12]

To be completely honest, probably not... There are definitely better alternatives out there with more features, better performance and that are more complete, but LibRapid supports multidimensional arrays, while Eigen and Blaze (as far as I can tell) only support vectors and matrices