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Commit 3300fb45 authored by easybuild's avatar easybuild
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Tue, 01 Aug 2017 12:00:05 +0200

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...@@ -509,6 +509,8 @@ GMP/6.1.1-intel-2017a,1 ...@@ -509,6 +509,8 @@ GMP/6.1.1-intel-2017a,1
GMP/6.1.1,1 GMP/6.1.1,1
GMP/6.1.2,1 GMP/6.1.2,1
ISL/0.15,1 ISL/0.15,1
Keras/2.0.5-Tensorflow-1.1.0-CUDA-7.5.18-Python-3.6.1,1
Keras/2.0.5-Tensorflow-1.1.0-CUDA-8.0.44-Python-3.6.1,1
METIS/5.1.0-intel-2017a,1 METIS/5.1.0-intel-2017a,1
METIS/5.1.0,1 METIS/5.1.0,1
MLD2P4/2.0-rc4-GCC-4.9.3-2.25,1 MLD2P4/2.0-rc4-GCC-4.9.3-2.25,1
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...@@ -264,6 +264,7 @@ ...@@ -264,6 +264,7 @@
| GEOS |   | | GEOS |   |
| [GMP](http://gmplib.org/) | GMP is a free library for arbitrary precision arithmetic, operating on signed integers, rational numbers, and floating point numbers. | | [GMP](http://gmplib.org/) | GMP is a free library for arbitrary precision arithmetic, operating on signed integers, rational numbers, and floating point numbers. |
| [ISL](http://isl.gforge.inria.fr/) | isl is a library for manipulating sets and relations of integer points bounded by linear constraints. | | [ISL](http://isl.gforge.inria.fr/) | isl is a library for manipulating sets and relations of integer points bounded by linear constraints. |
| Keras |   |
| libcerf |   | | libcerf |   |
| METIS |   | | 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. | | [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. |
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