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Comment by ur-whale | Hacker News Reader

At the risk of sounding dumb, I'll ask the obvious question: in what way is this different from myriad other similar efforts (e.g. Eigen, Blas, Atlas, etc...)?

Also: why is it that for projects like these, the very first 10 lines on the web site is not an actual code example of what usage looks like?

I had to actually go dig in the test directory to find actual code.

https://bitbucket.org/blaze-lib/blaze/src/master/blazetest/s...

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There really aren't a myriad of similar efforts. Eigen is pretty much the only C++ linear algebra library. BLAS is a C library which is the de facto standard, and ATLAS is an alternative implementation of the BLAS API.

Other than this, there really isn't much more to pick from.

>There really aren't a myriad of similar efforts.

Fair enough, but still doesn't tell me what's different about this project.

Hmm… BLAS started life as Fortran codes (said intentionally to sound like a native Fortean-er).

Saying BLAS is a C library skips over much of the depth and history of its FORTRAN roots. The work that went into achieving numeric stability of this stuff is astounding. Ditto with LAPACK.

https://en.m.wikipedia.org/wiki/Basic_Linear_Algebra_Subprog...

The original BLAS library on Netlib was and still is written in Fortran (F77 likely) but includes a C api called CBLAS that calls into the Fortran code. Alternatives like ATLAS or maybe Intels MKL might be written in C/C++ or other languages.

Fair enough. Are there any notable improvements over Eigen? I couldn't see whether Blaze supports dynamic rank tensor operations (Eigen doesn't). Thanks.

Armadillo, MKL

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