Numeric age for D: Mir GLAS is faster than OpenBLAS and Eigen

"This post presents performance benchmarks for general matrix-matrix multiplication between Mir GLAS, OpenBLAS, Eigen, and two closed source BLAS implementations from Intel and Apple.

OpenBLAS is the default BLAS implementation for most numeric and scientific projects, for example the Julia Programing Language and NumPy. The OpenBLAS Haswell computation kernels were written in assembler.

Mir is an LLVM-Accelerated Generic Numerical Library for Science and Machine Learning. It requires LDC (LLVM D Compiler) for compilation. Mir GLAS (Generic Linear Algebra Subprograms) has a single generic kernel for all CPU targets, all floating point types, and all complex types. It is written completely in D, without any assembler blocks. In addition, Mir GLAS Level 3 kernels are not unrolled and produce tiny binary code, so they put less pressure on the instruction cache in large applications."

http://blog.mir.dlang.io/glas/benchmark/openblas/2016/09/23/glas-gemm-benchmark.html

https://github.com/libmir/mir