On Friday, 23 September 2016 at 14:55:02 UTC, John Colvin wrote:
On Friday, 23 September 2016 at 13:25:30 UTC, Ilya Yaroshenko wrote:
Mir is LLVM-accelerated Generic Numerical Library for Science and Machine Learning.


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

Mir v0.18.0 release notes:
https://github.com/libmir/mir/releases/tag/v0.18.0
The release includes Mir's D Foundation GSoC project.

Do not forget to star the project:
https://github.com/libmir/mir

Best regards,
Ilya

Looks excellent. I tested compared to Apple's Accelerate BLAS and got similar results.

Environment variables to set single thread for cblas:
for openBLAS: OPENBLAS_NUM_THREADS=1
for Accelerate (Apple): VECLIB_MAXIMUM_THREADS=1
for intel MKL: MKL_NUM_THREADS=1

Thank you, John. Will add them to the blog

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