From 85edf3f0b6a0bf931edff9efbec750a209e8c57c Mon Sep 17 00:00:00 2001 From: easybuild <easybuild@login2.bullx> Date: Thu, 15 Feb 2018 10:15:03 +0100 Subject: [PATCH] Thu, 15 Feb 2018 10:15:03 +0100 --- anselm.csv | 1 + anselm.md | 1 + 2 files changed, 2 insertions(+) diff --git a/anselm.csv b/anselm.csv index 1238b9cc..20fa4ef6 100644 --- a/anselm.csv +++ b/anselm.csv @@ -641,6 +641,7 @@ mkl/13.5.192,1 mkl/14.0.1,1 mkl/15.2.164,1 mkl/15.3.187,1 +mkl/2017.4.239,1 MLD2P4/2.0-rc4-GCC-4.9.3-2.25,1 modflow-2005/1.11.00,1 modflow-nwt/1.0.9,1 diff --git a/anselm.md b/anselm.md index f093aecb..a41faa13 100644 --- a/anselm.md +++ b/anselm.md @@ -329,6 +329,7 @@ | [GSL](http://www.gnu.org/software/gsl/) | The GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. | | [imkl](http://software.intel.com/en-us/intel-mkl/) | Intel Math Kernel Library is a library of highly optimized, extensively threaded math routines for science, engineering, and financial applications that require maximum performance. Core math functions include BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math, and more. | | LIBLINEAR | | +| [mkl](http://software.intel.com/en-us/intel-mkl/) | Intel Math Kernel Library is a library of highly optimized, extensively threaded math routines for science, engineering, and financial applications that require maximum performance. Core math functions include BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math, and more. | | [MPI-LIBLINEAR](https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/distributed-liblinear/mpi/) | MPI LIBLINEAR is an extension of LIBLINEAR on distributed environments. The usage and the data format are the same as LIBLINEAR. It supports L2-regularized logistic regression, L2-regularized logistic regression, L2-regularized L2-loss linear SVM (primal trust-region Newton), L2-regularized L1-loss linear SVM (dual), L2-regularized logistic regression (primal limited common directions), L2-regularized L2-loss linear SVM (primal limited common directions). Module created by the PERMON Team (http://permon.it4i.cz). | | [NLopt](http://ab-initio.mit.edu/wiki/index.php/NLopt) | NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. | | [OpenBLAS](http://xianyi.github.com/OpenBLAS/) | OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version. | -- GitLab