diff --git a/docs.it4i/anselm/introduction.md b/docs.it4i/anselm/introduction.md
index 1f0b7e64af02521bc0e060618df10311292d507d..b0fcc5dee2262a48b31d6a9cd8cfbed9622a3f84 100644
--- a/docs.it4i/anselm/introduction.md
+++ b/docs.it4i/anselm/introduction.md
@@ -8,4 +8,4 @@ User data shared file-system (HOME, 320 TB) and job data shared file-system (SCR
 
 The PBS Professional workload manager provides [computing resources allocations and job execution](resources-allocation-policy/).
 
-Read more on how to [apply for resources](../general/applying-for-resources/), [obtain login credentials,](../general/obtaining-login-credentials/obtaining-login-credentials/) and [access the cluster](shell-and-data-access/).
+Read more on how to [apply for resources](../general/applying-for-resources/), [obtain login credentials](../general/obtaining-login-credentials/obtaining-login-credentials/) and [access the cluster](shell-and-data-access/).
diff --git a/docs.it4i/anselm/job-submission-and-execution.md b/docs.it4i/anselm/job-submission-and-execution.md
index e0abdcb04f1d07b06edd594c2cb49aa5f550429f..b0ea19bd17cecb7fb2199c6112e0e0340a1d0b1a 100644
--- a/docs.it4i/anselm/job-submission-and-execution.md
+++ b/docs.it4i/anselm/job-submission-and-execution.md
@@ -48,7 +48,7 @@ $ qsub -A OPEN-0-0 -q qfree -l select=10:ncpus=16 ./myjob
 
 In this example, we allocate 10 nodes, 16 cores per node, for 12 hours. We allocate these resources via the qfree queue. It is not required that the project OPEN-0-0 has any available resources left. Consumed resources are still accounted for. Jobscript myjob will be executed on the first node in the allocation.
 
-All qsub options may be [saved directly into the jobscript](job-submission-and-execution/#PBSsaved). In such a case, no options to qsub are needed.
+All qsub options may be [saved directly into the jobscript](#example-jobscript-for-mpi-calculation-with-preloaded-inputs). In such a case, no options to qsub are needed.
 
 ```bash
 $ qsub ./myjob
@@ -345,6 +345,8 @@ In some cases, it may be impractical to copy the inputs to scratch and outputs t
 !!! note
     Store the qsub options within the jobscript. Use **mpiprocs** and **ompthreads** qsub options to control the MPI job execution.
 
+### Example Jobscript for MPI Calculation With Preloaded Inputs
+
 Example jobscript for an MPI job with preloaded inputs and executables, options for qsub are stored within the script :
 
 ```bash
@@ -370,7 +372,7 @@ exit
 
 In this example, input and executable files are assumed preloaded manually in /scratch/$USER/myjob directory. Note the **mpiprocs** and **ompthreads** qsub options, controlling behavior of the MPI execution. The mympiprog.x is executed as one process per node, on all 100 allocated nodes. If mympiprog.x implements OpenMP threads, it will run 16 threads per node.
 
-More information is found in the [Running OpenMPI](../software/mpi/Running_OpenMPI/) and [Running MPICH2](../software/mpi/running-mpich2/)
+More information is found in the [Running OpenMPI](software/mpi/Running_OpenMPI/) and [Running MPICH2](software/mpi/running-mpich2/)
 sections.
 
 ### Example Jobscript for Single Node Calculation
diff --git a/docs.it4i/anselm/software/ansys/ansys-cfx.md b/docs.it4i/anselm/software/ansys/ansys-cfx.md
index 392e5dbf04414e368497dedeb3169cdfef7a879a..b816f026430e7573ddffb81d5ced15770994435b 100644
--- a/docs.it4i/anselm/software/ansys/ansys-cfx.md
+++ b/docs.it4i/anselm/software/ansys/ansys-cfx.md
@@ -47,7 +47,7 @@ echo Machines: $hl
 /ansys_inc/v145/CFX/bin/cfx5solve -def input.def -size 4 -size-ni 4x -part-large -start-method "Platform MPI Distributed Parallel" -par-dist $hl -P aa_r
 ```
 
-Header of the PBS file (above) is common and description can be find on [this site](../../resource-allocation-and-job-execution/job-submission-and-execution/). SVS FEM recommends to utilize sources by keywords: nodes, ppn. These keywords allows to address directly the number of nodes (computers) and cores (ppn) which will be utilized in the job. Also the rest of code assumes such structure of allocated resources.
+Header of the PBS file (above) is common and description can be find on [this site](../../job-submission-and-execution/). SVS FEM recommends to utilize sources by keywords: nodes, ppn. These keywords allows to address directly the number of nodes (computers) and cores (ppn) which will be utilized in the job. Also the rest of code assumes such structure of allocated resources.
 
 Working directory has to be created before sending PBS job into the queue. Input file should be in working directory or full path to input file has to be specified. >Input file has to be defined by common CFX def file which is attached to the cfx solver via parameter -def
 
diff --git a/docs.it4i/anselm/software/ansys/ansys-ls-dyna.md b/docs.it4i/anselm/software/ansys/ansys-ls-dyna.md
index 18a0193bcbe0b49e2a6c30f5106fbef0c658e069..af46af93a30600c440e4e52cb5fdbd1edb677660 100644
--- a/docs.it4i/anselm/software/ansys/ansys-ls-dyna.md
+++ b/docs.it4i/anselm/software/ansys/ansys-ls-dyna.md
@@ -50,6 +50,6 @@ echo Machines: $hl
 /ansys_inc/v145/ansys/bin/ansys145 -dis -lsdynampp i=input.k -machines $hl
 ```
 
-Header of the PBS file (above) is common and description can be find on [this site](../../resource-allocation-and-job-execution/job-submission-and-execution/). [SVS FEM](http://www.svsfem.cz) recommends to utilize sources by keywords: nodes, ppn. These keywords allows to address directly the number of nodes (computers) and cores (ppn) which will be utilized in the job. Also the rest of code assumes such structure of allocated resources.
+Header of the PBS file (above) is common and description can be find on [this site](../../job-submission-and-execution/). [SVS FEM](http://www.svsfem.cz) recommends to utilize sources by keywords: nodes, ppn. These keywords allows to address directly the number of nodes (computers) and cores (ppn) which will be utilized in the job. Also the rest of code assumes such structure of allocated resources.
 
 Working directory has to be created before sending PBS job into the queue. Input file should be in working directory or full path to input file has to be specified. Input file has to be defined by common LS-DYNA .**k** file which is attached to the ANSYS solver via parameter i=
diff --git a/docs.it4i/anselm/software/ansys/ls-dyna.md b/docs.it4i/anselm/software/ansys/ls-dyna.md
index dd5682a25ba7846e49f179f3bf72666316f97aaf..063bcf245e7b74781c953eebb309adfad5c0e48d 100644
--- a/docs.it4i/anselm/software/ansys/ls-dyna.md
+++ b/docs.it4i/anselm/software/ansys/ls-dyna.md
@@ -30,6 +30,6 @@ module load lsdyna
 /apps/engineering/lsdyna/lsdyna700s i=input.k
 ```
 
-Header of the PBS file (above) is common and description can be find on [this site](../../resource-allocation-and-job-execution/job-submission-and-execution.html). [SVS FEM](http://www.svsfem.cz) recommends to utilize sources by keywords: nodes, ppn. These keywords allows to address directly the number of nodes (computers) and cores (ppn) which will be utilized in the job. Also the rest of code assumes such structure of allocated resources.
+Header of the PBS file (above) is common and description can be find on [this site](../../job-submission-and-execution/). [SVS FEM](http://www.svsfem.cz) recommends to utilize sources by keywords: nodes, ppn. These keywords allows to address directly the number of nodes (computers) and cores (ppn) which will be utilized in the job. Also the rest of code assumes such structure of allocated resources.
 
 Working directory has to be created before sending PBS job into the queue. Input file should be in working directory or full path to input file has to be specified. Input file has to be defined by common LS-DYNA **.k** file which is attached to the LS-DYNA solver via parameter i=
diff --git a/docs.it4i/anselm/software/debuggers/allinea-performance-reports.md b/docs.it4i/anselm/software/debuggers/allinea-performance-reports.md
index ad8d74d773f621ffad8ce0af1ca3bb5000e7ece3..614e6277ba5fcb8401b9a68668626709aa143ede 100644
--- a/docs.it4i/anselm/software/debuggers/allinea-performance-reports.md
+++ b/docs.it4i/anselm/software/debuggers/allinea-performance-reports.md
@@ -29,7 +29,7 @@ Instead of [running your MPI program the usual way](../mpi/), use the the perf r
     $ perf-report mpirun ./mympiprog.x
 ```
 
-The mpi program will run as usual. The perf-report creates two additional files, in \*.txt and \*.html format, containing the performance report. Note that [demanding MPI codes should be run within the queue system](../../resource-allocation-and-job-execution/job-submission-and-execution/).
+The mpi program will run as usual. The perf-report creates two additional files, in \*.txt and \*.html format, containing the performance report. Note that [demanding MPI codes should be run within the queue system](../../job-submission-and-execution/).
 
 ## Example
 
@@ -56,4 +56,4 @@ Now lets profile the code:
     $ perf-report mpirun ./mympiprog.x
 ```
 
-Performance report files [mympiprog_32p\*.txt](mympiprog_32p_2014-10-15_16-56.txt) and [mympiprog_32p\*.html](mympiprog_32p_2014-10-15_16-56.html) were created. We can see that the code is very efficient on MPI and is CPU bounded.
+Performance report files [mympiprog_32p\*.txt](../../../src/mympiprog_32p_2014-10-15_16-56.txt) and [mympiprog_32p\*.html](../../../src/mympiprog_32p_2014-10-15_16-56.html) were created. We can see that the code is very efficient on MPI and is CPU bounded.
diff --git a/docs.it4i/anselm/software/debuggers/debuggers.md b/docs.it4i/anselm/software/debuggers/debuggers.md
index 68e804f48069479a127e82659d8fbba928f57fe1..dd2bc60d833d9fa269c1df98d895fb969a601cd7 100644
--- a/docs.it4i/anselm/software/debuggers/debuggers.md
+++ b/docs.it4i/anselm/software/debuggers/debuggers.md
@@ -57,4 +57,4 @@ Vampir is a GUI trace analyzer for traces in OTF format.
     $ vampir
 ```
 
-Read more at the [Vampir](../../salomon/software/debuggers/vampir/) page.
+Read more at the [Vampir](vampir/) page.
diff --git a/docs.it4i/anselm/software/debuggers/scalasca.md b/docs.it4i/anselm/software/debuggers/scalasca.md
index e14f18f9bfdb6f21acea338fabaff2add8343588..19daec04e24247f40721c8ef61632d17290daa80 100644
--- a/docs.it4i/anselm/software/debuggers/scalasca.md
+++ b/docs.it4i/anselm/software/debuggers/scalasca.md
@@ -11,7 +11,7 @@ Scalasca supports profiling of MPI, OpenMP and hybrid MPI+OpenMP applications.
 There are currently two versions of Scalasca 2.0 [modules](../../environment-and-modules/) installed on Anselm:
 
 * scalasca2/2.0-gcc-openmpi, for usage with [GNU Compiler](../compilers/) and [OpenMPI](../mpi/Running_OpenMPI/),
-* scalasca2/2.0-icc-impi, for usage with [Intel Compiler](../compilers.html) and [Intel MPI](../mpi/running-mpich2/).
+* scalasca2/2.0-icc-impi, for usage with [Intel Compiler](../compilers/) and [Intel MPI](../mpi/running-mpich2/).
 
 ## Usage
 
diff --git a/docs.it4i/anselm/software/debuggers/score-p.md b/docs.it4i/anselm/software/debuggers/score-p.md
index 215e8b75069b26d7b1b3508a64afb5fb3f7966c5..929d971faa2a8b465754c5563b09fa32f554eef2 100644
--- a/docs.it4i/anselm/software/debuggers/score-p.md
+++ b/docs.it4i/anselm/software/debuggers/score-p.md
@@ -11,7 +11,7 @@ Score-P can be used as an instrumentation tool for [Scalasca](scalasca/).
 There are currently two versions of Score-P version 1.2.6 [modules](../../environment-and-modules/) installed on Anselm :
 
 * scorep/1.2.3-gcc-openmpi, for usage     with [GNU Compiler](../compilers/) and [OpenMPI](../mpi/Running_OpenMPI/)
-* scorep/1.2.3-icc-impi, for usage with [Intel Compiler](../compilers.html)> and [Intel MPI](../mpi/running-mpich2/)>.
+* scorep/1.2.3-icc-impi, for usage with [Intel Compiler](../compilers/)> and [Intel MPI](../mpi/running-mpich2/)>.
 
 ## Instrumentation
 
diff --git a/docs.it4i/anselm/software/debuggers/vampir.md b/docs.it4i/anselm/software/debuggers/vampir.md
index f5336b9e629728b65a37dd8c73c669beb36bae3c..1c3009c8a4fe820473b812ec0067a83e3d1922d7 100644
--- a/docs.it4i/anselm/software/debuggers/vampir.md
+++ b/docs.it4i/anselm/software/debuggers/vampir.md
@@ -1,6 +1,6 @@
-# hVampir
+# Vampir
 
-Vampir is a commercial trace analysis and visualization tool. It can work with traces in OTF and OTF2 formats. It does not have the functionality to collect traces, you need to use a trace collection tool (such as [Score-P](../../../salomon/software/debuggers/score-p/)) first to collect the traces.
+Vampir is a commercial trace analysis and visualization tool. It can work with traces in OTF and OTF2 formats. It does not have the functionality to collect traces, you need to use a trace collection tool (such as [Score-P](score-p/)) first to collect the traces.
 
 ![](../../../img/Snmekobrazovky20160708v12.33.35.png)
 
diff --git a/docs.it4i/anselm/software/numerical-languages/octave.md b/docs.it4i/anselm/software/numerical-languages/octave.md
index 7624f95e5ee9092be169638cafe611a9d0c91508..19142eb0f6b9150df56c553ba395d385c4b92a47 100644
--- a/docs.it4i/anselm/software/numerical-languages/octave.md
+++ b/docs.it4i/anselm/software/numerical-languages/octave.md
@@ -48,7 +48,7 @@ To run octave in batch mode, write an octave script, then write a bash jobscript
     exit
 ```
 
-This script may be submitted directly to the PBS workload manager via the qsub command.  The inputs are in octcode.m file, outputs in output.out file. See the single node jobscript example in the [Job execution section](http://support.it4i.cz/docs/anselm/resource-allocation-and-job-execution).
+This script may be submitted directly to the PBS workload manager via the qsub command.  The inputs are in octcode.m file, outputs in output.out file. See the single node jobscript example in the [Job execution section](../../job-submission-and-execution/).
 
 The octave c compiler mkoctfile calls the GNU gcc 4.8.1 for compiling native c code. This is very useful for running native c subroutines in octave environment.
 
diff --git a/docs.it4i/anselm/software/numerical-languages/r.md b/docs.it4i/anselm/software/numerical-languages/r.md
index f62cad83d6f5e29a8310cef81d10eef8df6fcb60..d70ea9026f50ed82ff789a232a21de97b7b472cb 100644
--- a/docs.it4i/anselm/software/numerical-languages/r.md
+++ b/docs.it4i/anselm/software/numerical-languages/r.md
@@ -66,7 +66,7 @@ Example jobscript:
     exit
 ```
 
-This script may be submitted directly to the PBS workload manager via the qsub command.  The inputs are in rscript.R file, outputs in routput.out file. See the single node jobscript example in the [Job execution section](../../resource-allocation-and-job-execution/job-submission-and-execution/).
+This script may be submitted directly to the PBS workload manager via the qsub command.  The inputs are in rscript.R file, outputs in routput.out file. See the single node jobscript example in the [Job execution section](../../job-submission-and-execution/).
 
 ## Parallel R
 
@@ -396,4 +396,4 @@ Example jobscript for [static Rmpi](r/#static-rmpi) parallel R execution, runnin
     exit
 ```
 
-For more information about jobscript and MPI execution refer to the [Job submission](../../resource-allocation-and-job-execution/job-submission-and-execution/) and general [MPI](../mpi/mpi/) sections.
+For more information about jobscript and MPI execution refer to the [Job submission](../../job-submission-and-execution/) and general [MPI](../mpi/mpi/) sections.
diff --git a/docs.it4i/anselm/software/numerical-libraries/hdf5.md b/docs.it4i/anselm/software/numerical-libraries/hdf5.md
index 026531c21168b58a27bd0857e602cc46ffddb76d..d9abd72c405ab3ff867203fbe7c9408e9e7c5d7c 100644
--- a/docs.it4i/anselm/software/numerical-libraries/hdf5.md
+++ b/docs.it4i/anselm/software/numerical-libraries/hdf5.md
@@ -84,6 +84,6 @@ Load modules and compile:
     $ mpicc hdf5test.c -o hdf5test.x -Wl,-rpath=$LIBRARY_PATH $HDF5_INC $HDF5_SHLIB
 ```
 
-Run the example as [Intel MPI program](../anselm/software/mpi/running-mpich2/).
+Run the example as [Intel MPI program](../mpi/running-mpich2/).
 
 For further information, please see the website: <http://www.hdfgroup.org/HDF5/>
diff --git a/docs.it4i/anselm/software/omics-master/overview.md b/docs.it4i/anselm/software/omics-master/overview.md
index 7c3876e23f028126551d12c1ae7eb48e33b36e80..7a827c97b6cd5212bc932779b870e4ac8f8464cf 100644
--- a/docs.it4i/anselm/software/omics-master/overview.md
+++ b/docs.it4i/anselm/software/omics-master/overview.md
@@ -231,7 +231,7 @@ second one.
 
       --project>. Project ID of your supercomputer allocation.
 
-      --queue. [Queue](../../resource-allocation-and-job-execution/introduction.html) to run the jobs in.
+      --queue. [Queue](../../resources-allocation-policy/) to run the jobs in.
 ```
 
 Input, output and ped arguments are mandatory. If the output folder does not exist, the pipeline will create it.
@@ -278,7 +278,7 @@ Now, we can launch the pipeline (replace OPEN-0-0 with your Project ID):
     $ ngsPipeline -i /scratch/$USER/omics/sample_data/data -o /scratch/$USER/omics/results -p /scratch/$USER/omics/sample_data/data/file.ped --project OPEN-0-0 --queue qprod
 ```
 
-This command submits the processing [jobs to the queue](../../resource-allocation-and-job-execution/job-submission-and-execution.html).
+This command submits the processing [jobs to the queue](../../job-submission-and-execution/).
 
 If we want to re-launch the pipeline from stage 4 until stage 20 we should use the next command:
 
@@ -334,7 +334,7 @@ This listing show which tools are used in each step of the pipeline
 
 ## Interpretation
 
-The output folder contains all the subfolders with the intermediate data. This folder contains the final VCF with all the variants. This file can be uploaded into [TEAM](diagnostic-component-team.html) by using the VCF file button. It is important to note here that the entire management of the VCF file is local: no patient’s sequence data is sent over the Internet thus avoiding any problem of data privacy or confidentiality.
+The output folder contains all the subfolders with the intermediate data. This folder contains the final VCF with all the variants. This file can be uploaded into [TEAM](diagnostic-component-team/) by using the VCF file button. It is important to note here that the entire management of the VCF file is local: no patient’s sequence data is sent over the Internet thus avoiding any problem of data privacy or confidentiality.
 
 ![TEAM upload panel. Once the file has been uploaded, a panel must be chosen from the Panel list. Then, pressing the Run button the diagnostic process starts.]\((../../../img/fig7.png)
 
diff --git a/docs.it4i/anselm/software/openfoam.md b/docs.it4i/anselm/software/openfoam.md
index d7394a6e9282c42fb2ab1dc07ce3395f475dd645..a2c98e3f2d84e11b0e73b3b6c7d9c083422101bb 100644
--- a/docs.it4i/anselm/software/openfoam.md
+++ b/docs.it4i/anselm/software/openfoam.md
@@ -45,7 +45,7 @@ In /opt/modules/modulefiles/engineering you can see installed engineering softwa
     lsdyna/7.x.x               openfoam/2.2.1-gcc481-openmpi1.6.5-SP
 ```
 
-For information how to use modules please [look here](../environment-and-modules/ "Environment and Modules ").
+For information how to use modules please [look here](../environment-and-modules/).
 
 ## Getting Started
 
@@ -112,7 +112,7 @@ Job submission
     $ qsub -A OPEN-0-0 -q qprod -l select=1:ncpus=16,walltime=03:00:00 test.sh
 ```
 
-For information about job submission please [look here](../resource-allocation-and-job-execution/job-submission-and-execution/ "Job submission").
+For information about job submission please [look here](../job-submission-and-execution/).
 
 ## Running Applications in Parallel
 
diff --git a/docs.it4i/anselm/software/paraview.md b/docs.it4i/anselm/software/paraview.md
index 8d7f0552fef1a2a6d10e0f2471a153a3b9632875..7007369800f88b5c672640ee8c32952ca73d4df7 100644
--- a/docs.it4i/anselm/software/paraview.md
+++ b/docs.it4i/anselm/software/paraview.md
@@ -26,7 +26,7 @@ To launch the server, you must first allocate compute nodes, for example
     $ qsub -I -q qprod -A OPEN-0-0 -l select=2
 ```
 
-to launch an interactive session on 2 nodes. Refer to [Resource Allocation and Job Execution](../resource-allocation-and-job-execution/introduction/) for details.
+to launch an interactive session on 2 nodes. Refer to [Resource Allocation and Job Execution](../job-submission-and-execution/) for details.
 
 After the interactive session is opened, load the ParaView module :
 
diff --git a/docs.it4i/anselm/software/kvirtualization.md b/docs.it4i/anselm/software/virtualization.md
similarity index 98%
rename from docs.it4i/anselm/software/kvirtualization.md
rename to docs.it4i/anselm/software/virtualization.md
index b838944b0b6c1914a55a900ef306a61e2561f340..668a12ee79aa35bc7bf384f91fbf9fd50344fc8e 100644
--- a/docs.it4i/anselm/software/kvirtualization.md
+++ b/docs.it4i/anselm/software/virtualization.md
@@ -12,7 +12,7 @@ There are situations when Anselm's environment is not suitable for user needs.
 * Application requires privileged access to operating system
 * ... and combinations of above cases
 
-We offer solution for these cases - **virtualization**. Anselm's environment gives the possibility to run virtual machines on compute nodes. Users can create their own images of operating system with specific software stack and run instances of these images as virtual machines on compute nodes. Run of virtual machines is provided by standard mechanism of [Resource Allocation and Job Execution](../../resource-allocation-and-job-execution/introduction/).
+We offer solution for these cases - **virtualization**. Anselm's environment gives the possibility to run virtual machines on compute nodes. Users can create their own images of operating system with specific software stack and run instances of these images as virtual machines on compute nodes. Run of virtual machines is provided by standard mechanism of [Resource Allocation and Job Execution](../job-submission-and-execution/).
 
 Solution is based on QEMU-KVM software stack and provides hardware-assisted x86 virtualization.
 
@@ -202,7 +202,7 @@ Run script runs application from shared job directory (mapped as drive z:), proc
 
 ### Run Jobs
 
-Run jobs as usual, see  [Resource Allocation and Job Execution](../../resource-allocation-and-job-execution/introduction/). Use only full node allocation for virtualization jobs.
+Run jobs as usual, see  [Resource Allocation and Job Execution](../job-submission-and-execution/). Use only full node allocation for virtualization jobs.
 
 ### Running Virtual Machines
 
diff --git a/docs.it4i/general/accessing-the-clusters/graphical-user-interface/vnc.md b/docs.it4i/general/accessing-the-clusters/graphical-user-interface/vnc.md
index e516ab59cad1774c000f5c894975745fa7bb8a87..f064b2e6a89dc4b2c8290a0b552eac82ca973941 100644
--- a/docs.it4i/general/accessing-the-clusters/graphical-user-interface/vnc.md
+++ b/docs.it4i/general/accessing-the-clusters/graphical-user-interface/vnc.md
@@ -198,7 +198,7 @@ Allow incoming X11 graphics from the compute nodes at the login node:
 $ xhost +
 ```
 
-Get an interactive session on a compute node (for more detailed info [look here](../../../anselm/resource-allocation-and-job-execution/job-submission-and-execution/)). Use the **-v DISPLAY** option to propagate the DISPLAY on the compute node. In this example, we want a complete node (24 cores in this example) from the production queue:
+Get an interactive session on a compute node (for more detailed info [look here](../../../anselm/job-submission-and-execution/)). Use the **-v DISPLAY** option to propagate the DISPLAY on the compute node. In this example, we want a complete node (24 cores in this example) from the production queue:
 
 ```bash
 $ qsub -I -v DISPLAY=$(uname -n):$(echo $DISPLAY | cut -d ':' -f 2) -A PROJECT_ID -q qprod -l select=1:ncpus=24
diff --git a/docs.it4i/salomon/software/ansys/ansys-cfx.md b/docs.it4i/salomon/software/ansys/ansys-cfx.md
index 0eb52d3e6f29fcf4e8ab2e37c27a7166faea2247..21ce8f93b16958a184d15af5235830e9d39406b9 100644
--- a/docs.it4i/salomon/software/ansys/ansys-cfx.md
+++ b/docs.it4i/salomon/software/ansys/ansys-cfx.md
@@ -47,7 +47,7 @@ echo Machines: $hl
 /ansys_inc/v145/CFX/bin/cfx5solve -def input.def -size 4 -size-ni 4x -part-large -start-method "Platform MPI Distributed Parallel" -par-dist $hl -P aa_r
 ```
 
-Header of the pbs file (above) is common and description can be find on [this site](../../resource-allocation-and-job-execution/job-submission-and-execution/). SVS FEM recommends to utilize sources by keywords: nodes, ppn. These keywords allows to address directly the number of nodes (computers) and cores (ppn) which will be utilized in the job. Also the rest of code assumes such structure of allocated resources.
+Header of the pbs file (above) is common and description can be find on [this site](../../job-submission-and-execution/). SVS FEM recommends to utilize sources by keywords: nodes, ppn. These keywords allows to address directly the number of nodes (computers) and cores (ppn) which will be utilized in the job. Also the rest of code assumes such structure of allocated resources.
 
 Working directory has to be created before sending pbs job into the queue. Input file should be in working directory or full path to input file has to be specified. >Input file has to be defined by common CFX def file which is attached to the cfx solver via parameter -def
 
diff --git a/docs.it4i/salomon/software/ansys/ansys-ls-dyna.md b/docs.it4i/salomon/software/ansys/ansys-ls-dyna.md
index 5d49022a7dd18dc85af28e501cfa08b31be28272..8646c26665ea9f10d6d70405e961f1e2efe7fbb9 100644
--- a/docs.it4i/salomon/software/ansys/ansys-ls-dyna.md
+++ b/docs.it4i/salomon/software/ansys/ansys-ls-dyna.md
@@ -50,6 +50,6 @@ echo Machines: $hl
 /ansys_inc/v145/ansys/bin/ansys145 -dis -lsdynampp i=input.k -machines $hl
 ```
 
-Header of the pbs file (above) is common and description can be find on [this site](../../resource-allocation-and-job-execution/job-submission-and-execution/). [SVS FEM](http://www.svsfem.cz) recommends to utilize sources by keywords: nodes, ppn. These keywords allows to address directly the number of nodes (computers) and cores (ppn) which will be utilized in the job. Also the rest of code assumes such structure of allocated resources.
+Header of the pbs file (above) is common and description can be find on [this site](../../job-submission-and-execution/). [SVS FEM](http://www.svsfem.cz) recommends to utilize sources by keywords: nodes, ppn. These keywords allows to address directly the number of nodes (computers) and cores (ppn) which will be utilized in the job. Also the rest of code assumes such structure of allocated resources.
 
 Working directory has to be created before sending pbs job into the queue. Input file should be in working directory or full path to input file has to be specified. Input file has to be defined by common LS-DYNA .**k** file which is attached to the ansys solver via parameter i=
diff --git a/docs.it4i/salomon/software/debuggers/allinea-performance-reports.md b/docs.it4i/salomon/software/debuggers/allinea-performance-reports.md
index f79935222903cd0f98e90e9f1e923ae55c910eb0..3d0826e994bb6434b9cd0cd100249393191c03d3 100644
--- a/docs.it4i/salomon/software/debuggers/allinea-performance-reports.md
+++ b/docs.it4i/salomon/software/debuggers/allinea-performance-reports.md
@@ -28,7 +28,7 @@ Instead of [running your MPI program the usual way](../mpi/mpi/), use the the pe
     $ perf-report mpirun ./mympiprog.x
 ```
 
-The mpi program will run as usual. The perf-report creates two additional files, in \*.txt and \*.html format, containing the performance report. Note that demanding MPI codes should be run within [the queue system](../../resource-allocation-and-job-execution/job-submission-and-execution/).
+The mpi program will run as usual. The perf-report creates two additional files, in \*.txt and \*.html format, containing the performance report. Note that demanding MPI codes should be run within [the queue system](../../job-submission-and-execution/).
 
 ## Example
 
diff --git a/docs.it4i/salomon/software/numerical-languages/octave.md b/docs.it4i/salomon/software/numerical-languages/octave.md
index 1f96d0849dd4c0ffc1928bcb2406607600f06fd9..6461bc4cc003b806d0f75320d58d5c9009ab5b8b 100644
--- a/docs.it4i/salomon/software/numerical-languages/octave.md
+++ b/docs.it4i/salomon/software/numerical-languages/octave.md
@@ -45,7 +45,7 @@ To run octave in batch mode, write an octave script, then write a bash jobscript
     exit
 ```
 
-This script may be submitted directly to the PBS workload manager via the qsub command.  The inputs are in octcode.m file, outputs in output.out file. See the single node jobscript example in the [Job execution section](../../resource-allocation-and-job-execution/).
+This script may be submitted directly to the PBS workload manager via the qsub command.  The inputs are in octcode.m file, outputs in output.out file. See the single node jobscript example in the [Job execution section](../../).
 
 The octave c compiler mkoctfile calls the GNU gcc 4.8.1 for compiling native c code. This is very useful for running native c subroutines in octave environment.
 
diff --git a/docs.it4i/salomon/software/numerical-languages/r.md b/docs.it4i/salomon/software/numerical-languages/r.md
index e6f9a69b4d27fd0b4b844703759b7dc15d109d8c..6a01926e1b69bdd97d695d19b7a056419408acde 100644
--- a/docs.it4i/salomon/software/numerical-languages/r.md
+++ b/docs.it4i/salomon/software/numerical-languages/r.md
@@ -66,7 +66,7 @@ Example jobscript:
     exit
 ```
 
-This script may be submitted directly to the PBS workload manager via the qsub command.  The inputs are in rscript.R file, outputs in routput.out file. See the single node jobscript example in the [Job execution section](../../resource-allocation-and-job-execution/job-submission-and-execution/).
+This script may be submitted directly to the PBS workload manager via the qsub command.  The inputs are in rscript.R file, outputs in routput.out file. See the single node jobscript example in the [Job execution section](../../job-submission-and-execution/).
 
 ## Parallel R
 
@@ -392,7 +392,7 @@ Example jobscript for [static Rmpi](r/#static-rmpi) parallel R execution, runnin
     exit
 ```
 
-For more information about jobscripts and MPI execution refer to the [Job submission](../../resource-allocation-and-job-execution/job-submission-and-execution/) and general [MPI](../mpi/mpi/) sections.
+For more information about jobscripts and MPI execution refer to the [Job submission](../../job-submission-and-execution/) and general [MPI](../mpi/mpi/) sections.
 
 ## Xeon Phi Offload
 
diff --git a/docs.it4i/src/mympiprog_32p_2014-10-15_16-56.html b/docs.it4i/src/mympiprog_32p_2014-10-15_16-56.html
new file mode 100644
index 0000000000000000000000000000000000000000..ce60070a9ee25a91973a577fd048d88f31d4680e
--- /dev/null
+++ b/docs.it4i/src/mympiprog_32p_2014-10-15_16-56.html
@@ -0,0 +1,610 @@
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+        "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml">
+<head>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<title>mympiprog.x - Performance Report</title>
+<style type="text/css">
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+#error p {
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+.application_details {
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+<script type="text/javascript">var RadarChart = {
+  draw: function(id, d, options){
+    var cfg = {
+     radius: 5,
+     w: 600,
+     h: 600,
+     factor: .95,
+     factorLegend: 1,
+     levels: 3,
+     maxValue: 0,
+     radians: 2 * Math.PI,
+     opacityArea: 0.5,
+     color: d3.scale.category10(),
+     fontSize: 10
+    };
+    if('undefined' !== typeof options){
+      for(var i in options){
+        if('undefined' !== typeof options[i]){
+          cfg[i] = options[i];
+        }
+      }
+    }
+    cfg.maxValue = Math.max(cfg.maxValue, d3.max(d, function(i){return d3.max(i.map(function(o){return o.value;}))}));
+    var allAxis = (d[0].map(function(i, j){return i.axis}));
+    var total = allAxis.length;
+    var radius = cfg.factor*Math.min(cfg.w/2, cfg.h/2);
+    d3.select(id).select("svg").remove();
+    var g = d3.select(id).append("svg").attr("width", cfg.w).attr("height", 0.75 * cfg.h).append("g");
+
+    var tooltip;
+    function getPosition(i, range, factor, func){
+      factor = typeof factor !== 'undefined' ? factor : 1;
+      return range * (1 - factor * func(i * cfg.radians / total));
+    }
+    function getHorizontalPosition(i, range, factor){
+      return getPosition(i, range, factor, Math.sin);
+    }
+    function getVerticalPosition(i, range, factor){
+      return getPosition(i, range, factor, Math.cos);
+    }
+
+    for(var j=0; j<cfg.levels; j++){
+      var levelFactor = radius*((j+1)/cfg.levels);
+      g.selectAll(".levels").data(allAxis).enter().append("svg:line")
+       .attr("x1", function(d, i){return getHorizontalPosition(i, levelFactor);})
+       .attr("y1", function(d, i){return getVerticalPosition(i, levelFactor);})
+       .attr("x2", function(d, i){return getHorizontalPosition(i+1, levelFactor);})
+       .attr("y2", function(d, i){return getVerticalPosition(i+1, levelFactor);})
+       .attr("class", "line").style("stroke", "grey").style("stroke-width", "0.5px").attr("transform", "translate(" + (cfg.w/2-levelFactor) + ", " + (cfg.h/2-levelFactor) + ")");
+
+    }
+
+    series = 0;
+
+    var axis = g.selectAll(".axis").data(allAxis).enter().append("g").attr("class", "axis");
+
+    axis.append("line")
+        .attr("x1", cfg.w/2)
+        .attr("y1", cfg.h/2)
+        .attr("x2", function(j, i){return getHorizontalPosition(i, cfg.w/2, cfg.factor);})
+        .attr("y2", function(j, i){return getVerticalPosition(i, cfg.h/2, cfg.factor);})
+        .attr("class", "line").style("stroke", "grey").style("stroke-width", "1px");
+
+    axis.append("text").attr("class", function(d){ return "legend_" + d.replace("/", "") })
+        .text(function(d){return d})
+        .style("font-size", cfg.fontSize + "px")
+        .style("text-anchor", function(d, i){
+          var p = getHorizontalPosition(i, 0.5);
+          return (p < 0.4) ? "start" : ((p > 0.6) ? "end" : "middle");
+        })
+        .attr("transform", function(d, i){
+          var p = getVerticalPosition(i, cfg.h / 2);
+          return p < cfg.fontSize ? "translate(0, " + (cfg.fontSize - p) + ")" : "";
+        })
+        .attr("x", function(d, i){return getHorizontalPosition(i, cfg.w / 2, cfg.factorLegend);})
+        .attr("y", function(d, i){return getVerticalPosition(i, cfg.h / 2, cfg.factorLegend);});
+ 
+    d.forEach(function(y, x){
+      dataValues = [];
+      g.selectAll(".nodes")
+        .data(y, function(j, i){
+          dataValues.push([
+            getHorizontalPosition(i, cfg.w/2, (parseFloat(Math.max(j.value, 0))/cfg.maxValue)*cfg.factor),
+            getVerticalPosition(i, cfg.h/2, (parseFloat(Math.max(j.value, 0))/cfg.maxValue)*cfg.factor)
+          ]);
+        });
+      dataValues.push(dataValues[0]);
+      g.selectAll(".area")
+                     .data([dataValues])
+                     .enter()
+                     .append("polygon")
+                     .attr("class", "radar-chart-serie"+series)
+                     .style("stroke-width", "2px")
+                     .style("stroke", cfg.color(series))
+                     .attr("points",function(d) {
+                         var str="";
+                         for(var pti=0;pti<d.length;pti++){
+                             str=str+d[pti][0]+","+d[pti][1]+" ";
+                         }
+                         return str;
+                      })
+                     .style("fill", function(j, i){return cfg.color(series)})
+                     .style("fill-opacity", cfg.opacityArea)
+                     .on('mouseover', function (d){
+                                        z = "polygon."+d3.select(this).attr("class");
+                                        g.selectAll("polygon").transition(200).style("fill-opacity", 0.1); 
+                                        g.selectAll(z).transition(200).style("fill-opacity", .7);
+                                      })
+                     .on('mouseout', function(){
+                                        g.selectAll("polygon").transition(200).style("fill-opacity", cfg.opacityArea);
+                     });
+      series++;
+    });
+    series=0;
+
+
+    d.forEach(function(y, x){
+      g.selectAll(".nodes")
+        .data(y).enter()
+        .append("svg:circle").attr("class", "radar-chart-serie"+series)
+        .attr('r', cfg.radius)
+        .attr("alt", function(j){return Math.max(j.value, 0)})
+        .attr("cx", function(j, i){
+          dataValues.push([
+            getHorizontalPosition(i, cfg.w/2, (parseFloat(Math.max(j.value, 0))/cfg.maxValue)*cfg.factor),
+            getVerticalPosition(i, cfg.h/2, (parseFloat(Math.max(j.value, 0))/cfg.maxValue)*cfg.factor)
+          ]);
+          return getHorizontalPosition(i, cfg.w/2, (Math.max(j.value, 0)/cfg.maxValue)*cfg.factor);
+        })
+        .attr("cy", function(j, i){
+          return getVerticalPosition(i, cfg.h/2, (Math.max(j.value, 0)/cfg.maxValue)*cfg.factor);
+        })
+        .attr("data-id", function(j){return j.axis})
+        .style("fill", cfg.color(series)).style("fill-opacity", .9)
+        .on('mouseover', function (d){
+                    newX =  parseFloat(d3.select(this).attr('cx')) - 10;
+                    newY =  parseFloat(d3.select(this).attr('cy')) - 5;
+                    tooltip.attr('x', newX).attr('y', newY).text(d.value).transition(200).style('opacity', 1);
+                    z = "polygon."+d3.select(this).attr("class");
+                    g.selectAll("polygon").transition(200).style("fill-opacity", 0.1); 
+                    g.selectAll(z).transition(200).style("fill-opacity", .7);
+                  })
+        .on('mouseout', function(){
+                    tooltip.transition(200).style('opacity', 0);
+                    g.selectAll("polygon").transition(200).style("fill-opacity", cfg.opacityArea);
+                  })
+        .append("svg:title")
+        .text(function(j){return Math.max(j.value, 0)});
+
+      series++;
+    });
+    //Tooltip
+    tooltip = g.append('text').style('opacity', 0).style('font-family', 'sans-serif').style('font-size', '13px');
+  }
+}
+
+</script>
+<script type="text/javascript">window.onload = function() {
+    var cpu = 88.6;
+    var mpi = 11.4;
+    var io = 0.0;
+
+    // Draw radar chart, choose its color based on application classification
+    var radar_data = [[ { axis: "CPU", value: cpu },
+                        { axis: "MPI", value: mpi },
+                        { axis: "I/O", value: io } ]];
+    var radar_options = { w: 200, h: 200, factor: 0.7, fontSize: 16, radius: 0, 
+                          opacityArea: 0.64, maxValue: 100, 
+                          color: function() {
+                              if ("cpu" == "io")  return "#ed8140";
+                              if ("cpu" == "cpu") return "#4fd32e";
+                              if ("cpu" == "mpi") return "#409ded";
+                              else return "#bb58d6";
+                          }
+                        };
+    RadarChart.draw("#time_radar", radar_data, radar_options);
+
+    // Wrap the exe path on slashes if necessary
+    var exe_path = document.getElementById("exe_path");
+    exe_path.innerHTML = exe_path.innerHTML.replace(/\//g, '/&#x200b;'); // insert a zero width space after slashes as a word wrap hint
+
+    // Format our byte value numbers to show at most 2 decimal places, but only if required to attain 3 digits of precision
+    // 1234.56 -> "1234"
+    // 12.3456 -> "12.3"
+    // 1.23456 -> "1.23"
+    // 0.00000 -> "0.00"
+    var formatNumber = function(num) {
+        if (num > 100) return new Number(num).toFixed(0); // 1234.56 -> 1234
+        if (num > 10)  return new Number(num).toFixed(1); // 12.3456 -> 12.3
+        else           return new Number(num).toFixed(2); // 1.23456 -> 1.23 and 0 -> 0.00
+    }
+
+    // Parse a number, but return 0 for invalid numbers, not NaN
+    var toNumber = function(num_str) {
+        var num = Number(num_str)
+        return isNaN(num) ? 0 : num;
+    }
+
+    // Scale byte values to bytes, kB, MB or GB as appropriate
+    var fillBytes = function(base_name, bytes_str, per_second) {
+        var units = "bytes";
+        var scale = 1.0;
+        var bytes = Number(bytes_str)
+        if      (isNaN(bytes)      ) { units = ""  ;                           }
+        else if (bytes > 1000000000) { units = "GB"; scale = 1*1000*1000*1000; }
+        else if (bytes > 1000000   ) { units = "MB"; scale = 1*1000*1000       }
+        else if (bytes > 1000      ) { units = "kB"; scale = 1*1000            }
+        var num = isNaN(bytes) ? bytes_str : formatNumber(bytes / scale);
+        var elementNum = document.getElementById(base_name + "_num");
+        elementNum.innerHTML = num;
+        var elementUnits = document.getElementById(base_name + "_units");
+        elementUnits.innerHTML = units + (per_second && !isNaN(bytes) ? "/s" : "");
+    };
+
+    // Fill all the byte numbers and their units with the scaled values
+    fillBytes("mpi_colrate", "1.65e+02", true);
+    fillBytes("mpi_p2prate", "0.00e+00", true);
+    fillBytes("io_readrate", "0.00e+00", true);
+    fillBytes("io_writerate", "0.00e+00", true);
+    fillBytes("ram_mean", "2.33e+07", false);
+    fillBytes("ram_peak", "2.35e+07", false);
+
+    // Set widths for all graphs
+    var bar = function(name, width) {
+        var rounded = Math.round(width);
+        if (!isFinite(rounded) || rounded < 1)
+            document.getElementById(name).style.width = "1px"
+        else
+            document.getElementById(name).style.width = rounded + "px";
+    };
+    bar("cpu_bar", cpu * 2);
+    bar("mpi_bar", mpi * 2);
+    bar("io_bar", io * 2);
+
+    bar("cpu_num_bar", toNumber("50.0") / 2);
+    bar("cpu_vec_bar", toNumber("50.0") / 2);
+    bar("cpu_mem_bar", toNumber("0.0") / 2);
+    bar("cpu_other_bar", toNumber("0.0") / 2);
+
+    bar("mpi_col_bar", toNumber("100.0") / 2);
+    bar("mpi_p2p_bar", toNumber("0.0") / 2);
+    var mpi_scale = Math.max(toNumber("1.65e+02"), toNumber("0.00e+00"));
+    bar("mpi_colrate_bar", 50 * toNumber("1.65e+02") / mpi_scale);
+    bar("mpi_p2prate_bar", 50 * toNumber("0.00e+00") / mpi_scale);
+
+    bar("io_read_bar", toNumber("0.0") / 2);
+    bar("io_write_bar", toNumber("0.0") / 2);
+    var io_scale = Math.max(toNumber("0.00e+00"), toNumber("0.00e+00"));
+    bar("io_readrate_bar", 50 * toNumber("0.00e+00") / io_scale);
+    bar("io_writerate_bar", 50 * toNumber("0.00e+00") / io_scale);
+
+    bar("ram_mean_bar", 50 * toNumber("2.33e+07") / toNumber("2.35e+07"));
+    bar("ram_peak_bar", 50);
+    bar("ram_node_bar", toNumber("2.8") / 2);
+
+    // Formatting replacement helper function
+    var replaceIn = function(elementId, re, new_text) {
+        element = document.getElementById(elementId);
+        element.innerHTML = element.innerHTML.replace(re, new_text);
+    };
+
+    // Add formatting for the overview advice section
+    replaceIn('overview_advice', /CPU/g,  '<span class="cpu_span">CPU</span>');
+    replaceIn('overview_advice', /MPI/g,  '<span class="mpi_span">MPI</span>');
+    replaceIn('overview_advice', /I\/O/g, '<span class="io_span">I\/O</span>');
+
+    // Add formatting for the CPU advice section
+    if ( 88.6 < 0.05 )
+        replaceIn('cpu_explanation', /application code/g, '<span class="cpu_span">application code</span>');
+    replaceIn('cpu_explanation', /vectorized instructions/g, '<span class="cpu_vec_span">vectorized instructions</span>');
+    replaceIn('cpu_explanation', /memory accesses/g,         '<span class="cpu_mem_span">memory accesses</span>');
+    replaceIn('cpu_explanation', /memory-bound/g,            '<span class="cpu_mem_span">memory-bound</span>');
+    replaceIn('cpu_explanation', /arithmetic-bound/g,        '<span class="cpu_num_span">arithmetic-bound</span>');
+    replaceIn('cpu_explanation', /numerical computation/g,   '<span class="cpu_num_span">numerical computation</span>');
+
+    // Add formatting for the MPI advice section
+    if ( 11.4 < 0.05 )
+        replaceIn('mpi_explanation', /MPI/g, '<span class="mpi_span">MPI</span>');
+    replaceIn('mpi_explanation', /collective calls/g, '<span class="mpi_col_span">collective calls</span>');
+    replaceIn('mpi_explanation', /point-to-point calls/g, '<span class="mpi_p2p_span">point-to-point calls</span>');
+    replaceIn('mpi_explanation', / very low/g,  ' <span class="mpi_colrate_span">very low</span>');
+    replaceIn('mpi_explanation', / low/g,       ' <span class="mpi_colrate_span">low</span>');
+    replaceIn('mpi_explanation', / average/g,   ' <span class="mpi_colrate_span">average</span>');
+    replaceIn('mpi_explanation', / very high/g, ' <span class="mpi_colrate_span">very high</span>');
+    replaceIn('mpi_explanation', / high/g,      ' <span class="mpi_colrate_span">high</span>');
+
+    // Add formatting for the I/O advice section
+    if ( 0.0 < 0.05 )
+        replaceIn('io_explanation', /I\/O/g, '<span class="io_span">I/O</span>');
+    replaceIn('io_explanation', /read operations/g, '<span class="io_read_span">read operations</span>');
+    replaceIn('io_explanation', /write operations/g, '<span class="io_write_span">write operations</span>');
+    replaceIn('io_explanation', / very low/g,  ' <span class="io_readrate_span">very low</span>');
+    replaceIn('io_explanation', / low/g,       ' <span class="io_readrate_span">low</span>');
+    replaceIn('io_explanation', / average/g,   ' <span class="io_readrate_span">average</span>');
+    replaceIn('io_explanation', / very high/g, ' <span class="io_readrate_span">very high</span>');
+    replaceIn('io_explanation', / high/g,      ' <span class="io_readrate_span">high</span>');
+
+    // Add formatting for the RAM advice section
+    replaceIn('ram_explanation', /high/g, ' <span class="ram_node_span">high</span>');
+    replaceIn('ram_explanation', /well-balanced/g, '<span class="ram_peak_span">well-balanced</span>');
+    replaceIn('ram_explanation', /significant variation/g, '<span class="ram_peak_span">significant variation</span>');
+    replaceIn('ram_explanation', /peak node memory usage/g, '<span class="ram_node_span">peak node memory usage</span>');
+
+    // Hide the error warning if the script got this far
+    document.getElementById('error').style.display = 'none';
+};
+</script>
+</head>
+
+<body>
+<div id="content">
+
+<div class="header">
+    <div class="logo"><img src="http://content.allinea.com/downloads/performance-report-logo.png" alt="Allinea Performance Reports" /></div>
+    <div class="header_left">
+        <div class="application_details">
+            <table>
+                <tr><td class="details_key">Executable:</td><td id="exe_name">mympiprog.x</td></tr>
+                <tr><td class="details_key">Resources:</td><td id="num_procs">32 processes, 2 nodes</td></tr>
+                <tr><td class="details_key">Machine:</td><td id="machine_name">cn182</td></tr>
+                <tr><td class="details_key">Start time:</td><td id="start_date">Wed Oct 15 16:56:23 2014</td></tr>
+                <tr><td class="details_key">Total time:</td><td id="time_string">7 seconds (0 minutes)</td></tr>
+                <tr><td class="details_key">Full path:</td><td id="exe_path">/home/user</td></tr>
+                <tr><td class="details_key">Notes:</td><td id="notes"></td></tr>
+            </table>
+        </div>
+    </div>
+    <div id="time_radar"></div>
+    <div class="clear"></div>
+</div>
+<hr />
+<div id="error">
+<p><strong>Error: javascript is not running</strong></p>
+<p>The graphs in this Performance Report require <strong>javascript</strong>, which is disabled or not working.</p>
+<p>Check whether your javascript support is enabled or try another browser.<p>
+<p>Remember, you can always contact <a href="mailto:support@allinea.com">support@allinea.com</a>, we're very nice!</p>
+</div>
+<div class="summary">
+    <div class="heading">Summary: mympiprog.x is <span class="cpu_span">CPU-bound</span> in this configuration</div>
+    <div>The total wallclock time was spent as follows:</div>
+    <table class="summary_table">
+        <tr><td class="heading_cpu">CPU</td><td class="percent">88.6%</td><td class="bar_graph"><div id="cpu_bar" /></td>
+            <td class="details"><p>Time spent running application code. High values are usually good.</p><p>This is <span id="summary_cpu_class">high</span>; check the CPU performance section for optimization advice.</p></td></tr>
+        <tr><td class="heading_mpi">MPI</td><td class="percent">11.4%</td><td class="bar_graph"><div id="mpi_bar" /></td>
+            <td class="details"><p>Time spent in MPI calls. High values are usually bad.</p><p>This is <span id="summary_mpi_class">very low</span>; this code may benefit from increasing the process count.</p></td></tr>
+        <tr><td class="heading_io">I/O</td><td class="percent">0.0%</td><td class="bar_graph"><div id="io_bar" /></td>
+            <td class="details"><p>Time spent in filesystem I/O. High values are usually bad.</p><p>This is <span id="summary_io_class">negligible</span>; there's no need to investigate I/O performance.</p></td></tr>
+    </table>
+    <div class="overview_general_advice"><p>This application run was <span class="cpu_span">CPU-bound</span>. A breakdown of this time and advice for investigating further is in the <span class="cpu_span">CPU</span> section below.</p><p id="overview_advice">As very little time is spent in MPI calls, this code may also benefit from running at larger scales.</p></div>
+</div>
+<hr />
+<div class="subsections">
+    <div class="ltcol">
+        <div class="heading_cpu">CPU</div>
+        <div>A breakdown of how the <span class="cpu_span">88.6</span>% total CPU time was spent:</div>
+        <table id="cpu_chart">
+            <tr><td>Scalar numeric ops</td><td class="right_cell"><span class="cpu_num_span">50.0</span>%</td><td class="mini_bar_graph"><div id="cpu_num_bar" /></td></tr>
+            <tr><td>Vector numeric ops</td><td class="right_cell"><span class="cpu_vec_span">50.0</span>%</td><td class="mini_bar_graph"><div id="cpu_vec_bar" /></td></tr>
+            <tr><td>Memory accesses</td><td class="right_cell"><span class="cpu_mem_span">0.0</span>%</td><td class="mini_bar_graph"><div id="cpu_mem_bar" /></td></tr>
+            <tr><td>Other</td><td class="right_cell"><span class="cpu_other_span">0.0</span>%</td><td class="mini_bar_graph"><div id="cpu_other_bar" /></td></tr>
+        </table>
+        <div id="cpu_explanation">
+            <div class="explanation">The per-core performance is arithmetic-bound. Try to increase the amount of time spent in vectorized instructions by analyzing the compiler's vectorization reports.</div>
+            <div class="explanation"></div>
+        </div>
+    </div>
+    <div class="rtcol">
+        <div class="heading_mpi">MPI</div>
+        <div>Of the <span class="mpi_span">11.4</span>% total time spent in MPI calls:</div>
+        <table id="mpi_chart">
+            <tr><td>Time in collective calls</td><td class="right_cell"><span class="mpi_col_span">100.0</span>%</td><td class="mini_bar_graph"><div id="mpi_col_bar" /></td></tr>
+            <tr><td>Time in point-to-point calls</td><td class="right_cell"><span class="mpi_p2p_span">0.0</span>%</td><td class="mini_bar_graph"><div id="mpi_p2p_bar" /></td></tr>
+            <tr><td>Effective process collective rate</td><td class="right_cell"><span class="mpi_colrate_span"><span id="mpi_colrate_num">1.65e+02</span></span>&nbsp;<span id="mpi_colrate_units"></span></td><td class="mini_bar_graph"><div id="mpi_colrate_bar" /></td></tr>
+            <tr><td>Effective process point-to-point rate</td><td class="right_cell"><span class="mpi_p2prate_span"><span id="mpi_p2prate_num">0.00e+00</span></span>&nbsp;<span id="mpi_p2prate_units"></span></td><td class="mini_bar_graph"><div id="mpi_p2prate_bar" /></td></tr>
+        </table>
+        <div id="mpi_explanation">
+            <div class="explanation">Most of the time is spent in collective calls with a very low transfer rate. This suggests load imbalance is causing synchonization overhead; use an MPI profiler to investigate further.</div>
+            <div class="explanation"></div>
+        </div>
+    </div>
+    <div class="clear"></div>
+</div>
+<div class="subsections">
+    <div class="ltcol">
+        <div class="heading_io">I/O</div>
+        <div>A breakdown of how the <span class="io_span">0.0</span>% total I/O time was spent:</div>
+        <table id="io_chart">
+            <tr><td>Time in reads</td><td class="right_cell"><span class="io_read_span">0.0</span>%</td><td class="mini_bar_graph"><div id="io_read_bar" /></td></tr>
+            <tr><td>Time in writes</td><td class="right_cell"><span class="io_write_span">0.0</span>%</td><td class="mini_bar_graph"><div id="io_write_bar" /></td></tr>
+            <tr><td>Effective process read rate</td><td class="right_cell"><span class="io_readrate_span"><span id="io_readrate_num">0.00e+00</span></span>&nbsp;<span id="io_readrate_units"></span></td><td class="mini_bar_graph"><div id="io_readrate_bar" /></td></tr>
+            <tr><td>Effective process write rate</td><td class="right_cell"><span class="io_writerate_span"><span id="io_writerate_num">0.00e+00</span></span>&nbsp;<span id="io_writerate_units"></span></td><td class="mini_bar_graph"><div id="io_writerate_bar" /></td></tr>
+        </table>
+        <div id="io_explanation">
+            <div class="explanation">No time is spent in I/O operations. There's nothing to optimize here!</div>
+            <div class="explanation"></div>
+        </div>
+    </div>
+    <div class="rtcol">
+        <div class="heading_ram">Memory</div>
+        <div>Per-process memory usage may also affect scaling:</div>
+        <table id="ram_chart">
+            <tr><td>Mean process memory usage</td><td class="right_cell"><span class="ram_mean_span"><span id="ram_mean_num">2.33e+07</span></span>&nbsp;<span id="ram_mean_units"></span></td><td class="mini_bar_graph"><div id="ram_mean_bar" /></td></tr>
+            <tr><td>Peak process memory usage</td><td class="right_cell"><span class="ram_peak_span"><span id="ram_peak_num">2.35e+07</span></span>&nbsp;<span id="ram_peak_units"></span></td><td class="mini_bar_graph"><div id="ram_peak_bar" /></td></tr>
+            <tr><td>Peak node memory usage</td><td class="right_cell"><span class="ram_node_span">2.8</span>%</td><td class="mini_bar_graph"><div id="ram_node_bar" /></td></tr>
+        </table>
+        <div id="ram_explanation">
+            <div class="explanation">The peak node memory usage is very low. You may be able to reduce the amount of allocation time used by running with fewer MPI processes and more data on each process.</div>
+            <div class="explanation"></div>
+        </div>
+    </div>
+    <div class="clear"></div>
+</div>
+</div> <!-- content -->
+</body>
+</html>
diff --git a/docs.it4i/src/mympiprog_32p_2014-10-15_16-56.txt b/docs.it4i/src/mympiprog_32p_2014-10-15_16-56.txt
new file mode 100644
index 0000000000000000000000000000000000000000..de8449179640fd943a9f007f9eda084b11f2a455
--- /dev/null
+++ b/docs.it4i/src/mympiprog_32p_2014-10-15_16-56.txt
@@ -0,0 +1,50 @@
+Executable:	mympiprog.x
+Resources:	32 processes, 2 nodes
+Machine:	cn182
+Started on:	Wed Oct 15 16:56:23 2014
+Total time:	7 seconds (0 minutes)
+Full path:	/home/user
+Notes:		
+
+Summary: mympiprog.x is CPU-bound in this configuration
+CPU:				  88.6% |========|
+MPI:				  11.4% ||
+I/O:				   0.0% |
+This application run was CPU-bound. A breakdown of this time and advice for investigating further is found in the CPU section below.
+As very little time is spent in MPI calls, this code may also benefit from running at larger scales.
+
+CPU:
+A breakdown of how the 88.6% total CPU time was spent:
+Scalar numeric ops:		   50.0% |====|
+Vector numeric ops:		   50.0% |====|
+Memory accesses:		    0.0% |
+Other:				    0.0% |
+The per-core performance is arithmetic-bound. Try to increase the amount of time spent in vectorized instructions by analyzing the compiler's vectorization reports.
+
+
+MPI:
+A breakdown of how the 11.4% total MPI time was spent:
+Time in collective calls:	  100.0% |=========|
+Time in point-to-point calls:	    0.0% |
+Effective collective rate:	1.65e+02 bytes/s
+Effective point-to-point rate:	0.00e+00 bytes/s
+Most of the time is spent in collective calls with a very low transfer rate. This suggests load imbalance is causing synchonization overhead; use an MPI profiler to investigate further.
+
+
+I/O:
+A breakdown of how the 0.0% total I/O time was spent:
+Time in reads:			    0.0% |
+Time in writes:			    0.0% |
+Effective read rate:		0.00e+00 bytes/s
+Effective write rate:		0.00e+00 bytes/s
+No time is spent in I/O operations. There's nothing to optimize here!
+
+
+Memory:
+Per-process memory usage may also affect scaling:
+Mean process memory usage:	2.33e+07 bytes
+Peak process memory usage:	2.35e+07 bytes
+Peak node memory usage:		    2.8% |
+The peak node memory usage is very low. You may be able to reduce the amount of allocation time used by running with fewer MPI processes and more data on each process.
+
+
diff --git a/mkdocs.yml b/mkdocs.yml
index d4d50a24f90a0f63c930f72700376111592a7ce9..0c557765ed5ea27ccfd005a03f8c943a3947469e 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -185,7 +185,7 @@ pages:
       - OpenFOAM: anselm/software/openfoam.md
       - Operating System: anselm/software/operating-system.md
       - ParaView: anselm/software/paraview.md
-      - Virtualization: anselm/software/kvirtualization.md
+      - Virtualization: anselm/software/virtualization.md
 #  - Modules Matrix: modules-matrix.md
   - PBS Pro Documentation: pbspro.md
 #  - Testing: