Update README.md

README.md

-# training_material
-## 01-Parallel_Programming
+# PRACE CodeVault
+
+PRACE CodeVault is an open repository containing various high
+performance computing code samples. The project aims to support
+self-learning of HPC programming and will be used as an Open platform
+for the HPC community to share example code snippets, proof-of-concept
+codes and so forth.  
+
+CodeVault contains training material from PRACE partners, as well as
+example codes of common HPC kernels such as dense and sparse linear
+algebra, spectral and N-body methods, structured and unstructured
+grids, Monte Carlo methods and parallel I/O. The code samples are
+published as open source and can be used both for educational purposes
+and as parts of real application suites (as permitted by particular
+license).  
+
+CodeVault consist of several Gitlab-projects which are organized into groups
+and subgroups.
+
+
+## HPC kernels
+
+HPC kernels are under [hpc-kernels](https://repository.prace-ri.eu/git/CodeVault/hpc-kernels) group where each individual
+kernel is a Gitlab project
+
+ * [Dense linear algebra](https://repository.prace-ri.eu/git/CodeVault/hpc-kernels/dense_linear_algebra)
+ * distributed_dense_linear_algebra
+ * monte_carlo_methods
+ * n-body_methods
+ * parallel_io
+ * sparse_linear_algebra
+ * spectral_methods
+ * structured_grids
+ * unstructured_grids
+
+## Training material
+
+### Parallel programming
+
+ * [MPI](https://repository.prace-ri.eu/git/CodeVault/training-material/MPI)
+ * [OpenMP](https://repository.prace-ri.eu/git/CodeVault/training-material/OpenMP)
+ * [Hybrid MPI/OpenMP](https://repository.prace-ri.eu/git/CodeVault/training-material/hybrid)
+
+### GPU Programming
+ * CUDA
+ * OpenACC
+
+### PGAS Languages
+
+ * [Chapel](https://repository.prace-ri.eu/git/CodeVault/training-material/chapel)
+
+### Python programming
+
+ * Numerical and parallel programming
+ * GPU programming
+
+### Data processing
+
+ * Python
+ * R
+
+
+
+
+Older test material
+
+
+
 ### MPI
 [link to project/git repo](https://dummy) 1-line description of the content