Questions about compiling generally belong on R-devel. --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity.
On August 22, 2015 7:51:39 AM PDT, arnaud gaboury <arnaud.gabo...@gmail.com> wrote: >I want to build R with an optimized BLAS library. >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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.