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[]$ module spider r ---------------------------- r: ---------------------------- Versions: r/3.4.4 r/3.5.0-py27 r/3.5.0 r/3.5.1s r/3.5.2-py27 r/3.5.2 r/3.5.3-py27 r/3.5.3 r/3.6.1-intel r/3.6.1-py27 r/3.6.1 r/4.0.0-py27 r/4.0.2-intel r/4.0.2-py27 ---------------------------- For detailed information about a specific "r" module (including how to load the modules) use the module's full name. For example: $ module spider r/34.60.12-py27 ---------------------------- []$ module spider r/3.5.1s ---------------------------- r: r/3.5.1s ---------------------------- You will need to load all module(s) on any one of the lines below before the "r/3.5.1s" module is available to load. singularity/2.5.2 singularity/3.1.1 []$ module spider r/3.6.1 ---------------------------- r: r/3.6.1 ---------------------------- You will need to load all module(s) on any one of the lines below before the "r/3.6.1" module is available to load. swset/2018.05 gcc/7.3.0 module load gcc/7.3.0 r/3.6.1 |
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R and Intel/MKL
We have a version of r3versions of r (3.6.1/4.0.2) built with the Intel compiler and related MKL (Maths Kernel Library) that follows a request relating to Improving R Performance by installing optimized BLAS/LAPACK libraries.
To use:
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[]$ module load r/34.60.12-intel []$ R R version 34.60.12 (20192020-0706-0522) -- "ActionTaking ofOff the ToesAgain" Copyright (C) 20192020 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) ... > sessionInfo() R version 34.60.12 (20192020-0706-0522) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Storage Matrix products: default BLAS/LAPACK: /pfs/tsfs1/apps/el7-x86_64/u/intel/18.0.1/intel-mkl/2018.2.199-pti6y2y/compilers_and_libraries_2018.2.199/linux/mkl/lib/intel64_lin/libmkl_rt.so ... |
The Intel built version is dependent on the following modules core:
swset/2018.05intel/18.0.1
intel-mkl/2018.2.199
readline/7.0
bzip2/1.0.6
xz/5.2.4
curl/7.60.0
jdk/8u172-b11
The
module load r/3.6.1-intel
line will automatically load these modules for you.The
readline, bzip2, xz
andcurl
libraries are all versions that have also been built using the intel compiler.
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The
module load r/*.*.*-intel
line will automatically load these modules for you.
Installing Packages to Use with Intel Version
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On Teton, R packages are typically installed into:
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