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
Questions about compiling generally belong on R-devel.
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On August 22, 2015 7:51:39 AM PDT, arnaud gaboury <arnaud.gaboury at
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.
On Sat, Aug 22, 2015, 5:12 PM Jeff Newmiller <jdnewmil at dcn.davis.ca.us>
wrote:
Questions about compiling generally belong on R-devel.
Ok. Sorrx fpr the noise
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DCN:<jdnewmil at 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.gaboury at
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.
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