Top Tweets for #OpenBLAS
#ReciclarNotebooksParaRegalar
#CircularHardware
#CyberCirujas
Compu #78 (la ramera: el número de los sueños fue escrito en el siglo pasado)
Conectar Igualdad G6. Sorprendente máquina.
13GFLOPS fp32, 4 GFLOPS fp64, notar a la derecha como NO usa SIMD para DGEMM 🤷♀️ #OpenBLAS

I'm really happy to see @fortranlang and #OpenBLAS among the technologies funded by the @sovtechfund.
#OpenBLAS 0.3.24 Released With @Intel #SapphireRapids Improvements, Apple M2 Detection
https://t.co/Q1ISY3WtsC
#OpenBLAS 0.3.22 Introduces EmScripten #JavaScript, Fixes @AMDRyzen @AMDServer Zen 4 Handling
https://t.co/o0JkObg6Ez
#Castor is my first review for @JOSS_TheOJ. The authors introduce Castor a header only C++ library backed by #OpenBlas and #VTK to create a numerical processing framework with visualization capabilities.
Just published in JOSS: 'Castor: A C++ library to code "à la Matlab"' https://t.co/goMBGrsgv2
#OpenBLAS 0.3.20 Adds Support For Russia's Elbrus E2000, Arm Neoverse N2/V1 CPUs
https://t.co/oAB6yRajG2
#OpenBLAS 0.3.19 Released With @Intel #AlderLake & #SapphireRapids Detection
https://t.co/YXjz7B13uc
#OpenBLAS 0.3.18 Released With #LoongArch64 Support
- Intel #SkylakeX S/DGEMM kernels for small problem sizes.
- Optimized SBGEMM #CooperLake
- Better performance on IBM #POWER10
- Crash fixes for Apple M1
- Fixed building under BSDs on #MIPS/#MIPS64.
https://t.co/957CtrjXsc

#OpenBLAS 0.3.18 Released With LoongArch64 Support, More Optimizations
https://t.co/VHwmrcuqll
#OpenBLAS 0.3.16 Brings Various CPU Fixes, More Optimizations
https://t.co/D4gnG9ilsi
PRELOAD Trick: @JeffdotLayton shows you how to improve performance without making changes to applications using the LD_PRELOAD environment variable https://t.co/IhFTyDjcwe #HPC #Linux #PATH #Octave #OpenBLAS #OpenSource #NVBLAS #PRELOAD

#NumPy and #OpenBLAS have once again been awarded a grant from the @cziscience through Cycle 3 of the Essential #OpenSource Software for Science (EOSS) program! Read more about the announcement here: https://t.co/YaKyBNB0lZ
#DataScience
#FlexiBLAS in #Fedora33 means custom or even self-compiled BLAS & LAPACK implementations, like #netlib , #atlas , #openblas , #blis , #intelmkl , used by @GnuOctave , @MATLAB , @JuliaLanguage , @numpy_team , @_R_Foundation can be set system-wide during runtime! @heisedc
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