Windows	Ubuntu

Makes the math routines in Intel Math Kernel Library available in .NET:

BLAS (Basic Linear Algebra Subprograms) routines with decent performance are essential to most .NET applications that involve numerical computation. Managed code performs quite well for some 1 dimensional operations but it won't be able to compete with heavily hand-optimized native libraries. Since OpenBLAS stopped releasing the binaries, MKL could be the only reasonable solution for a long time.

Single precision math functions are not yet available in the framework (#1551), these vector operations can partially solve the problem.

We have Average, Min, Max and Aggregate methods in LINQ, and System.Random with a wrong implementation (#5974). If one needs high-quality statistic functions, a quick solution was to invoke std::mersenne_twister_engine in STL, now we may have a better option.

If I understand it correctly, MKL now comes with a more friendly license than FFTW.

Under investigation.

• BLAS
  • Level 1
  • Level 2
  • Level 3
• Others

1. Build the solution.
2. Install the Visual Studio Extension produced by ./Source/MathKernel.Analyzers.Vsix, so that the compiler can detect inconsistent duplications:
3. Install Math Kernel Library, or any software that redistributes MKL (e.g., Anaconda and Microsoft R Open). Depending on environment variable settings, one may need to copy the binaries (e.g., mkl_rt.dll) into ./Native/MKL/.

To avoid compromising performance and generality, the level of abstraction should be just enough for argument validation and object lifetime management. This means the intended usage pattern is like

GEMM(1, A, B, 0, C)

instead of

C = A * B

or

A.Multiply(B, C)

This project ignores:

• x86
• Naming guidelines