[R] Build R with optimized BLAS library
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. -- google.com/+arnaudgabourygabx __ 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.
Re: [R] Build R with optimized BLAS library
On Sat, Aug 22, 2015, 5:12 PM Jeff Newmiller jdnew...@dcn.davis.ca.us wrote: Questions about compiling generally belong on R-devel. Ok. Sorrx fpr the noise --- Jeff NewmillerThe . . Go Live... DCN:jdnew...@dcn.davis.ca.usBasics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/BatteriesO.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. [[alternative HTML version deleted]] __ 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.
Re: [R] Build R with optimized BLAS library
Questions about compiling generally belong on R-devel. --- Jeff NewmillerThe . . Go Live... DCN:jdnew...@dcn.davis.ca.usBasics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/BatteriesO.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.
