Use of BLAS vs direct SIMD for linear algebra library operations?

• usimd

  1 72 1.8 C

  Cross platform portable accelerate math library using universal intrinsics.

  

My question is, should I be using these libraries to compute e.g. dot products, matrix products etc.? Is that there ultimate intended use? If so, is OpenBLAS a reasonable choice for this? Or should I use something like usimd to compute these using SIMD instructions directly myself?

• DirectXMath

  13 1,481 6.8 C++

  DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps

  

For graphics DX math is a very good library.

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• Fastor

  5 702 4.3 C++

  A lightweight high performance tensor algebra framework for modern C++

Picking what size you are targeting is really important, though. Could the matrices you are working with realistically be bigger than say 32x32? BLAS is good for big matrices. It's not as great for small matrices. Eigen or Fastor will do better for these smaller problems. And for various common operations on sizes 2, 3, and 4, hand coded graphics-oriented libraries might outperform those.

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