# deRSE23 submission on Fortran-Lang community

**URL:** <https://fortran-lang.discourse.group/t/derse23-submission-on-fortran-lang-community/4769>\
**Category:** Uncategorized\
**Created:** [November 20, 2022, 3:15pm UTC](https://fortran-lang.discourse.group/t/derse23-submission-on-fortran-lang-community/4769 "2022-11-20T15:15:41Z")\
**Posts on this page:** 1\
**Showing post:** 10

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**Author:** ![FedericoPerini](https://yyz2.discourse-cdn.com/free1/user_avatar/fortran-lang.discourse.group/federicoperini/32/1750_2.png) [@FedericoPerini](https://fortran-lang.discourse.group/u/FedericoPerini)\
**Post date:** [June 18, 2024, 6:53am UTC](https://fortran-lang.discourse.group/t/derse23-submission-on-fortran-lang-community/4769/10 "2024-06-18T06:53:25Z")

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Great job Ivan, If you’re interested to include some info on our recent Linear Algebra effort for stdlib, you may want to take inspiration from the summaries of stdlib’s v0.5.0 and v0.6.0 releases:

> [@Fortran Standard Library: release v0.5.0](https://fortran-lang.discourse.group/t/fortran-standard-library-release-v0-5-0/7827):
>
> Dear Fortran Enthusiasts, We’re pleased to announce the release of Fortran Standard Library v0.5.0, a significant step forward in our efforts to enhance Fortran development tools. What’s New in v0.5.0: BLAS and LAPACK Support: We are delighted to introduce support for linear algebra BLAS and LAPACK interfaces. This addition lays the groundwork for implementing fast, user-friendly linear algebra APIs, empowering developers to tackle complex numerical computations with ease. Compiler Enhanceme…

> [@Fortran Standard Library v0.6.0 Released](https://fortran-lang.discourse.group/t/fortran-standard-library-v0-6-0-released/8011):
>
> Dear Fortran Enthusiasts, we’re pleased to announce the release of Fortran Standard Library v0.6.0. This release introduces major updates concerning the Linear Algebra APIs and the build system. I would like to stress the invaluable help from @jeremie.vandenplas @hkvzjal and all the stdlib enthusiasts that made this release possible! Linear Algebra I’ve been developing high-level APIs that leverage the modernized, any-precision BLAS/LAPACK backends introduced in v0.5.0. Eager to receive commu…

We are finalizing an almost NumPy-full set of linear algebra operations @jeremie.vandenplas @hkvzjal and soon you should see a new release! I think the most exciting points that we’ve been able to achieve overall are:

- A new, fully modernized LAPACK backend with quad-precision support
- Seamless build process with CMake or fpm
- Trivially use external tuned LAPACK libraries with 1 preprocessor flag
- Extremely easy APIs, but also full expert interfaces with error control, external storage, etc. We’ve been working hard to enable excellent performance (subroutine interfaces, `pure` LAPACK, no allocations, etc).

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