# We can write an optimized BLAS library in pure Julia (please skip OP and jump to post 4)

**URL:** https://discourse.julialang.org/t/we-can-write-an-optimized-blas-library-in-pure-julia-please-skip-op-and-jump-to-post-4/11634
**Category:** Numerics
**Created:** [June 13, 2018, 3:17am UTC](https://discourse.julialang.org/t/we-can-write-an-optimized-blas-library-in-pure-julia-please-skip-op-and-jump-to-post-4/11634 "2018-06-13T03:17:35Z")
**Posts on this page:** 1
**Showing post:** 10

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### Author: ![LaurentPlagne](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/laurentplagne/32/10103_2.png) [@LaurentPlagne](https://discourse.julialang.org/u/LaurentPlagne)
#### Post date: [August 15, 2019, 8:08am UTC](https://discourse.julialang.org/t/we-can-write-an-optimized-blas-library-in-pure-julia-please-skip-op-and-jump-to-post-4/11634/10 "2019-08-15T08:08:46Z")

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Fantastic job !  
I think this effort is likely to drive the HPC community to consider Julia more seriously (should be presented at SC !).

Could this be mix with your accurate arithmetic efforts ([Julia equivalent of Python's "fsum" for floating point summation - #54 by ffevotte](https://discourse.julialang.org/t/julia-equivalent-of-pythons-fsum-for-floating-point-summation/17785/54)) to obtain fast and accurate gemms ?

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