## digitalmars.D - Awesome mir/glas package

- Picaud Vincent (13/13) Nov 13 2016 Just a word to say that I find the glas benchmark results and
- Ilya Yaroshenko (16/30) Nov 14 2016 Thank you, Vincent!
- Picaud Vincent (6/13) Nov 14 2016 That is great!

Just a word to say that I find the glas benchmark results and design awesome! https://github.com/libmir/mir I am new to D but I think this kind of developments has the potential to attract a lot of people doing numerical computations. I also would like to mention the "libFlame" approach used to describe and implement linear algebra algorithms like LU, Cholesky... decompositions. https://www.cs.utexas.edu/~flame/web/methodology.html IMHO the ndslice is a perfect match to benefit from this methodology. I hope the best future for glas, it is very attractive. Vincent

Nov 13 2016

On Monday, 14 November 2016 at 07:42:13 UTC, Picaud Vincent wrote:Just a word to say that I find the glas benchmark results and design awesome! https://github.com/libmir/mir I am new to D but I think this kind of developments has the potential to attract a lot of people doing numerical computations. I also would like to mention the "libFlame" approach used to describe and implement linear algebra algorithms like LU, Cholesky... decompositions. https://www.cs.utexas.edu/~flame/web/methodology.html IMHO the ndslice is a perfect match to benefit from this methodology. I hope the best future for glas, it is very attractive. VincentThank you, Vincent! Yes, I will use libFlame approach, it is a really good. In the same time Dlang is more user-friendly for SIMD optimization. GLAS routines probably will follow hypothetical (it is closed source) Intel MKL approach but without unrolled loops. LibFLAME has 2 kinds of algorithms: blocking and unblocking. GLAS where it is possible will have 3 kinds: tiny unblocking, register (SIMD) blocking, and normal blocking. Mir GLAS was moved to separate repo [1]. It is a "better C" library now. This means it is written in D but does not requre DRuntime. It also has standart BLAS API, so GLAS will be able to replace BLAS in already existing C / Fortran infrastructure. [1] https://github.com/libmir/mir-glas Best regards, Ilya

Nov 14 2016

On Monday, 14 November 2016 at 08:41:36 UTC, Ilya Yaroshenko wrote:Yes, I will use libFlame approach, it is a really good. In the same time Dlang is more user-friendly for SIMD optimization. GLAS routines probably will follow hypothetical (it is closed source) Intel MKL approach but without unrolled loops. LibFLAME has 2 kinds of algorithms: blocking and unblocking. GLAS where it is possible will have 3 kinds: tiny unblocking, register (SIMD) blocking, and normal blocking.That is great! I hope being able to use your lib soon, Again thank you for sharing and for these impressive results! Vincent

Nov 14 2016