🖥️💪 Do you struggle with numerical efficiency in your work? 🤔👨‍💼 Marcin Błażejowski has the answer! 💡👨‍🏫

Presented at the #gretl conference 2023 work on "Which C compiler and #BLAS/ #LAPACK library should I use?" to learn expert insights on configuration that boosts your work efficiency.

#economics #econometrics #gc2023 #econtwitter

🖥️💪 Do you struggle with numerical efficiency in your work? 🤔👨‍💼 Marcin Błażejowski has the answer! 💡👨‍🏫

Presented at the #gretl conference 2023 work on "Which C compiler and #BLAS/ #LAPACK library should I use?" to learn expert insights on configuration that boosts your work efficiency.

#numeralanalysis #economics #econometrics #gc2023 #econtwitter

It seems that Chris Zimmerman is unstoppable.
Now he started porting @llgcode@twitter.com's draw2d to #CrystalLang:

https://github.com/crystal-data/draw.cr

RT @alexanderadam__@twitter.com

Wow, Chris Zimmerman from Knowledge Based Systems (#KBSI) created some alternatives for #numpy / scientific computing libraries in @CrystalLanguage@twitter.com:

https://github.com/crystal-data/

i.e. bindings for @openclapi@twitter.com / @OpenCLorg@twitter.com & calculations with #OpenBLAS or #LAPACK.

🐦🔗: https://twitter.com/alexanderadam__/status/1232247965336645632

@rmhogervorst @rstats@gup.pe

Sources for using OpenBlas multi-threading numerical libraries in CRAN R:

[1] https://csantill.github.io/RPerformanceWBLAS/ (including Benchmarks and HowTo for Linux)

[2] http://brettklamer.com/diversions/statistical/faster-blas-in-r/

[3] https://www.r-bloggers.com/why-is-r-slow-some-explanations-and-mklopenblas-setup-to-try-to-fix-this/

[4] https://github.com/xianyi/OpenBLAS (binary packages for Windows)

#rstats #cran #multicore #multithreading #parallelization #linux #windows #OpenBlas #BLAS #LAPACK

Good news especially for Debian scientific computing users: BLAS/LAPACK Ecosys massive update https://lists.debian.org/debian-science/2019/10/msg00038.html #LAPACK #BLAS #LinearAlgebra