docs: final reog

ansys · Sep 27, 2024 · db5e5da · db5e5da
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diff --git a/doc/source/user_guide/hpc.rst b/doc/source/user_guide/hpc.rst
diff --git a/doc/source/user_guide/hpc/index.rst b/doc/source/user_guide/hpc/index.rst
diff --git a/doc/source/user_guide/hpc/introduction.rst b/doc/source/user_guide/hpc/introduction.rst
@@ -1,14 +1,11 @@
 
 .. _ref_hpc_slurm:
 
-=================
-SLURM HPC cluster
-=================
+=====================
+Introduction to SLURM
+=====================
 
 
-Introduction
-============
-
 High performance computing (HPC) clusters are powerful systems designed to handle
 computationally intensive tasks efficiently. SLURM (Simple Linux Utility for Resource
 Management) is one of the most widely used job schedulers in HPC environments. This

diff --git a/doc/source/user_guide/hpc/mapdl.rst b/doc/source/user_guide/hpc/mapdl.rst
diff --git a/doc/source/user_guide/index.rst b/doc/source/user_guide/index.rst
@@ -11,12 +11,6 @@ This section provides a general overview of PyMAPDL and how you use it.
    pydata_sphinx_theme
 
 
-.. toctree::
-   :maxdepth: 1
-   :hidden:
-
-   troubleshoot
-
 .. toctree::
    :maxdepth: 1
    :hidden:
@@ -28,6 +22,7 @@ This section provides a general overview of PyMAPDL and how you use it.
    parameters
    components
    post
+   troubleshoot
 
 .. toctree::
    :maxdepth: 1
@@ -46,11 +41,19 @@ This section provides a general overview of PyMAPDL and how you use it.
    :hidden:
    :caption: Advanced
 
-   hpc/index.rst
    xpl
    upf
    krylov
 
+.. toctree::
+   :maxdepth: 1
+   :hidden:
+   :caption: High performance computing
+
+   hpc/introduction
+   hpc/pymapdl
+   hpc/troubleshooting
+
 
 PyMAPDL overview
 ================