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
