I want to build R optimized, with either MKL, OpenBLAS or ATLAS. My OS: Fedora 22 Hardware: CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 8 Thread(s) per core: 2 Vendor ID: GenuineIntel Model name: Intel(R) Core(TM) i7-2600K CPU @ 3.40GHz
I am a little confused when it comes to choose a method and would like to hear your experiences. If I am right, I have 3 possibilities: - OpenBLAS: opensource and free, but I came across some posts describing seg faults issues and bugs. These posts are 2 years old and I wonder if it is still the case. - ATLAS: can't see any reason to not use it - Intel MKL: this is part of Intel Parallel Studio and is a paid software. Now, there is the MKL package distributed by Revolutionanalytics, but I am not certain how this can be distributed for free. Is there any kind of difference? In case of use of this package, do I need to install RRO or can I just build R from GNU against these libraries? Thank you for advices. -- google.com/+arnaudgabourygabx ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel