diff --git a/anselm.csv b/anselm.csv index a4398d2ced8f41a010085d91fcfc000e093bd00e..58e42adf66032de69f667e4d4a2c82992d9b8b91 100644 --- a/anselm.csv +++ b/anselm.csv @@ -322,6 +322,7 @@ Python/2.7.9,1 Python/2.7.11-intel-2015b,1 Python/2.7.11-intel-2017a,1 Python/2.7.12-intel-2017a,1 +Python/2.7.13-base,1 Python/2.7.13,1 Python/3.5.2-foss-2016a,1 Python/3.5.2-intel-2017.00,1 @@ -428,6 +429,7 @@ libxml2/2.9.3-foss-2016a,1 libxml2/2.9.3-intel-2016a,1 libxml2/2.9.4-Python-2.7.13,1 libxml2/2.9.4,1 +libxslt/1.1.29,1 nettle/3.2-intel-2017a,1 nettle/3.3-intel-2017a,1 snappy/1.1.3,1 @@ -539,6 +541,7 @@ numpy/1.8.2-intel-2015b-Python-2.7.9,1 numpy/1.8.2-intel-2015b-Python-2.7.11,1 numpy/1.8.2-intel-2016.01-Python-2.7.9,1 numpy/1.12.1-intel-2017a-Python-2.7.11,1 +numpy/1.13.0-Python-2.7.13-base,1 MPICH/3.2-GCC-4.9.3-2.25,1 OpenMPI/1.8.8-GNU-4.9.3-2.25,1 OpenMPI/1.8.8-iccifort-2015.3.187-GNU-4.9.3-2.25,1 @@ -934,6 +937,7 @@ fontconfig/2.12.1-libpng-1.6.29,1 freetype/2.5.3,1 freetype/2.6.3,1 freetype/2.7.1-libpng-1.6.29,1 +freetype/2.8,1 gettext/.0.19.2,1 gettext/0.19.2-foss-2015g,1 gettext/0.19.2,1 @@ -959,6 +963,7 @@ libXinerama/1.1.3,1 libXt/1.1.4-libX11-1.6.2,1 libXt/1.1.5,1 matplotlib/1.5.1-Python-2.7.13-freetype-2.6.3,1 +matplotlib/2.0.2-Python-2.7.13-base,1 matplotlib/2.0.2-Python-3.6.1-libpng-1.6.29,1 pixman/0.32.6,1 pixman/0.34.0,1 diff --git a/anselm.md b/anselm.md index e8cb6cdc016d35d1e0b17f107cf5d108e1e687c5..61b0699d3f307baa99a5e8f78b2dd00cd9df3bfe 100644 --- a/anselm.md +++ b/anselm.md @@ -218,6 +218,7 @@ | [libunistring](http://www.gnu.org/software/libunistring/) | This library provides functions for manipulating Unicode strings and for manipulating C strings according to the Unicode standard. | | libxcb | | | libxml2 | | +| libxslt | | | nettle | | | PROJ | | | [SIONlib](http://www.fz-juelich.de/ias/jsc/EN/Expertise/Support/Software/SIONlib/_node.html) | SIONlib is a scalable I/O library for parallel access to task-local files. The library not only supports writing and reading binary data to or from several thousands of processors into a single or a small number of physical files, but also provides global open and close functions to access SIONlib files in parallel. This package provides a stripped-down installation of SIONlib for use with performance tools (e.g., Score-P), with renamed symbols to avoid conflicts when an application using SIONlib itself is linked against a tool requiring a different SIONlib version. | @@ -270,7 +271,7 @@ | METIS | | | [MLD2P4](http://www.mld2p4.it) | MLD2P4 (Multi-Level Domain Decomposition Parallel Preconditioners Package based on PSBLAS) is a package of parallel algebraic multi-level preconditioners. It implements various versions of one-level additive and of multi-level additive and hybrid Schwarz algorithms. In the multi-level case, a purely algebraic approach is applied to generate coarse-level corrections, so that no geometric background is needed concerning the matrix to be preconditioned. The matrix is assumed to be square, real or complex, with a symmetric sparsity pattern. | | MPFR | | -| [numpy](http://www.numpy.org) | NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities. Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. | +| numpy | | | [Octave](http://www.gnu.org/software/octave/) | GNU Octave is a high-level interpreted language, primarily intended for numerical computations. | | [PSBLAS](http://people.uniroma2.it/salvatore.filippone/psblas/) | Most computationally intensive applications work on irregular and sparse domains that complicate their implementation on parallel machines. The major goal of the Parallel Sparse Basic Linear Algebra Subroutines (PSBLAS) project is to provide a framework to enable easy, efficient and portable implementations of iterative solvers for linear systems, while shielding the user from most details of their parallelization. The interface is designed keeping in view a Single Program Multiple Data programming model on distributed memory machines. | | [PSBLAS-ext](http://people.uniroma2.it/salvatore.filippone/psblas/) | PSBLAS - Extended formats and NVIDIA GPU support |