diff --git a/doc.zih.tu-dresden.de/docs/software/Libraries.md b/doc.zih.tu-dresden.de/docs/software/Libraries.md
new file mode 100644
index 0000000000000000000000000000000000000000..3da400e5dfe9eefbd95489ceb20601d75dcd5ca6
--- /dev/null
+++ b/doc.zih.tu-dresden.de/docs/software/Libraries.md
@@ -0,0 +1,98 @@
+# Libraries
+
+The following libraries are available on our platforms:
+
+| | | | |
+|-----------|-----------------------|-----------------|------------|
+| | **Taurus** | **Venus** | **module** |
+| **Boost** | 1.49, 1.5\[4-9\], 160 | 1.49, 1.51,1.54 | boost |
+| **MKL** | 2013, 2015 | 2013 | mkl |
+| **FFTW** | 3.3.4 | | fftw |
+
+## The Boost Library
+
+Boost provides free peer-reviewed portable C++ source libraries, ranging from multithread and MPI
+support to regular expression and numeric funtions. See at http://www.boost.org for detailed
+documentation.
+
+## BLAS/LAPACK
+
+### Example
+
+```Fortran
+program ExampleProgram
+
+external dgesv
+integer:: n, m, c, d, e, Z(2) !parameter definition
+double precision:: A(2,2), B(2)
+
+n=2; m=1; c=2; d=2;
+
+A(1,1) = 1.0; A(1,2) = 2.0; !parameter setting
+A(2,1) = 3.0; A(2,2) = 4.0;
+
+B(1) = 14.0; B(2) = 32.0;
+
+Call dgesv(n,m,A,c,Z,B,d,e); !call the subroutine
+
+write(*,*) "Solution ", B(1), " ", B(2) !display on desktop
+
+end program ExampleProgram
+```
+
+### Math Kernel Library (MKL)
+
+The Intel Math Kernel Library is a collection of basic linear algebra subroutines (BLAS) and fast
+fourier transformations (FFT). It contains routines for:
+
+- Solvers such as linear algebra package (LAPACK) and BLAS
+- Eigenvector/eigenvalue solvers (BLAS, LAPACK)
+- PDEs, signal processing, seismic, solid-state physics (FFTs)
+- General scientific, financial - vector transcendental functions,
+ vector markup language (XML)
+
+More speciï¬cally it contains the following components:
+
+- BLAS:
+ - Level 1 BLAS: vector-vector operations, 48 functions
+ - Level 2 BLAS: matrix-vector operations, 66 functions
+ - Level 3 BLAS: matrix-matrix operations, 30 functions
+- LAPACK (linear algebra package), solvers and eigensolvers, hundreds
+ of routines, more than 1000 user callable routines
+- FFTs (fast Fourier transform): one and two dimensional, with and
+ without frequency ordering (bit reversal). There are wrapper
+ functions to provide an interface to use MKL instead of FFTW.
+- VML (vector math library), set of vectorized transcendental
+ functions
+- Parallel Sparse Direct Linear Solver (Pardiso)
+
+Please note: MKL comes in an OpenMP-parallel version. If you want to use it, make sure you know how
+to place your jobs. {{ In \[c't 18, 2010\], Andreas Stiller proposes the usage of
+`GOMP_CPU_AFFINITY` to allow the mapping of AMD cores. KMP_AFFINITY works only for Intel processors.
+}}
+
+#### Linking with the MKL
+
+For linker flag combinations, Intel provides the MKL Link Line Advisor
+at
+http://software.intel.com/en-us/articles/intel-mkl-link-line-advisor/
+(please make sure that JavaScript is enabled for this page).
+
+Can be compiled with MKL 11 like this
+
+```Bash
+ifort -I$MKL_INC -L$MKL_LIB -lmkl_core -lm -lmkl_gf_ilp64 -lmkl_lapack example.f90
+```
+
+#### Linking with the MKL at VENUS
+
+```Bash
+icc -O1 -I/sw/global/compilers/intel/2013/mkl//include -lmpi -mkl -lmkl_scalapack_lp64 -lmkl_blacs_sgimpt_lp64 -lmkl_intel_lp64 -lmkl_sequential -lmkl_core example.c
+```
+
+## FFTW
+
+FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more
+dimensions, of arbitrary input size, and of both real and complex data (as well as of even/odd data,
+i.e. the discrete cosine/sine transforms or DCT/DST). Before using this library, please check out
+the functions of vendor speciï¬c libraries ACML and/or MKL.
diff --git a/doc.zih.tu-dresden.de/docs/software/SoftwareDevelopment.md b/doc.zih.tu-dresden.de/docs/software/SoftwareDevelopment.md
new file mode 100644
index 0000000000000000000000000000000000000000..f7b222bf733bc911ea5cf1aef7d851c4e4af6cd8
--- /dev/null
+++ b/doc.zih.tu-dresden.de/docs/software/SoftwareDevelopment.md
@@ -0,0 +1,56 @@
+# Software Development at HPC Systems
+
+This section provides you with the basic knowledge and tools to get you out of trouble. It will tell
+you:
+
+- How to compile your code
+- Using mathematical libraries
+- Find caveats and hidden errors in application codes
+- Handle debuggers
+- Follow system calls and interrupts
+- Understand the relationship between correct code and performance
+
+Some hints that are helpful:
+
+- Stick to standards wherever possible, e.g. use the **`-std`** flag
+ for GNU and Intel C/C++ compilers. Computers are short living
+ creatures, migrating between platforms can be painful. In addition,
+ running your code on different platforms greatly increases the
+ reliably. You will find many bugs on one platform that never will be
+ revealed on another.
+- Before and during performance tuning: Make sure that your code
+ delivers the correct results.
+
+Some questions you should ask yourself:
+
+- Given that a code is parallel, are the results independent from the
+ numbers of threads or processes?
+- Have you ever run your Fortran code with array bound and subroutine
+ argument checking (the **`-check all`** and **`-traceback`** flags
+ for the Intel compilers)?
+- Have you checked that your code is not causing floating point
+ exceptions?
+- Does your code work with a different link order of objects?
+- Have you made any assumptions regarding storage of data objects in
+ memory?
+
+Subsections:
+
+- [Compilers](Compilers.md)
+- [Debugging Tools](Debugging Tools.md)
+ - [Debuggers](Debuggers.md) (GDB, Allinea DDT, Totalview)
+ - [Tools to detect MPI usage errors](MPIUsageErrorDetection.md) (MUST)
+- PerformanceTools.md: [Score-P](ScoreP.md), [Vampir](Vampir.md), [Papi Library](PapiLibrary.md)
+- [Libraries](Libraries.md)
+
+Intel Tools Seminar \[Oct. 2013\]
+
+- [TU-Dresden_Intel_Multithreading_Methodologies.pdf]**todo** %ATTACHURL%/TU-Dresden_Intel_Multithreading_Methodologies.pdf:
+ Intel Multithreading Methodologies
+- [TU-Dresden_Advisor_XE.pdf] **todo** %ATTACHURL%/TU-Dresden_Advisor_XE.pdf):
+ Intel Advisor XE - Threading prototyping tool for software
+ architects
+- [TU-Dresden_Inspector_XE.pdf] **todo** %ATTACHURL%/TU-Dresden_Inspector_XE.pdf):
+ Inspector XE - Memory-, Thread-, Pointer-Checker, Debugger
+- [TU-Dresden_Intel_Composer_XE.pdf] **todo** %ATTACHURL%/TU-Dresden_Intel_Composer_XE.pdf):
+ Intel Composer - Compilers, Libraries
diff --git a/doc.zih.tu-dresden.de/docs/software/Vampir.md b/doc.zih.tu-dresden.de/docs/software/Vampir.md
new file mode 100644
index 0000000000000000000000000000000000000000..8e2de70bcfbea2b576fc87459e65d551a9fa6f00
--- /dev/null
+++ b/doc.zih.tu-dresden.de/docs/software/Vampir.md
@@ -0,0 +1,169 @@
+# Vampir
+
+## Introduction
+
+Vampir is a graphical analysis framework that provides a large set of different chart
+representations of event based performance data generated through program instrumentation. These
+graphical displays, including state diagrams, statistics, and timelines, can be used by developers
+to obtain a better understanding of their parallel program inner working and to subsequently
+optimize it. Vampir allows to focus on appropriate levels of detail, which allows the detection and
+explanation of various performance bottlenecks such as load imbalances and communication
+deficiencies. [Follow this link for further
+information](http://tu-dresden.de/die_tu_dresden/zentrale_einrichtungen/zih/forschung/projekte/vampir).
+
+A growing number of performance monitoring environments like [VampirTrace](../archive/VampirTrace.md),
+Score-P, TAU or KOJAK can produce trace files that are readable by Vampir. The tool supports trace
+files in Open Trace Format (OTF, OTF2) that is developed by ZIH and its partners and is especially
+designed for massively parallel programs.
+
+\<img alt="" src="%ATTACHURLPATH%/vampir-framework.png" title="Vampir Framework" />
+
+## Starting Vampir
+
+Prior to using Vampir you need to set up the correct environment on one
+the HPC systems with:
+
+```Bash
+module load vampir
+```
+
+For members of TU Dresden the Vampir tool is also available as
+[download](http://tu-dresden.de/die_tu_dresden/zentrale_einrichtungen/zih/forschung/projekte/vampir/vampir_download_tu)
+for installation on your personal computer.
+
+Make sure, that compressed display forwarding (e.g. `ssh -XC taurus.hrsk.tu-dresden.de`) is
+enabled. Start the GUI by typing
+
+```Bash
+vampir
+```
+
+on your command line or by double-clicking the Vampir icon on your personal computer.
+
+Please consult the
+[Vampir user manual](http://tu-dresden.de/die_tu_dresden/zentrale_einrichtungen/zih/forschung/projekte/vampir/dateien/Vampir-User-Manual.pdf)
+for a tutorial on using the tool.
+
+## Using VampirServer
+
+VampirServer provides additional scalable analysis capabilities to the Vampir GUI mentioned above.
+To use VampirServer on the HPC resources of TU Dresden proceed as follows: start the Vampir GUI as
+described above and use the *Open Remote* dialog with the parameters indicated in the following
+figure to start and connect a VampirServer instance running on taurus.hrsk.tu-dresden.de. Make sure
+to fill in your personal ZIH login name.
+
+\<img alt="" src="%ATTACHURLPATH%/vampir_open_remote_dialog.png"
+title="Vampir Open Remote Dialog" />
+
+Click on the Connect button and wait until the connection is established. Enter your password when
+requested. Depending on the available resources on the target system, this setup can take some time.
+Please be patient and take a look at available resources beforehand.
+
+## Advanced Usage
+
+### Manual Server Startup
+
+VampirServer is a parallel MPI program, which can also be started manually by typing:
+
+```Bash
+vampirserver start
+```
+
+Above automatically allocates its resources via the respective batch system. Use
+
+```Bash
+vampirserver start mpi
+```
+
+or
+
+```Bash
+vampirserver start srun
+```
+
+if you want to start vampirserver without batch allocation or inside an interactive allocation. The
+latter is needed whenever you manually take care of the resource allocation by yourself.
+
+After scheduling this job the server prints out the port number it is serving on, like `Listen port:
+30088`.
+
+Connecting to the most recently started server can be achieved by entering `auto-detect` as *Setup
+name* in the *Open Remote* dialog of Vampir.
+
+\<img alt=""
+src="%ATTACHURLPATH%/vampir_open_remote_dialog_auto_start.png"
+title="Vampir Open Remote Dialog" />
+
+Please make sure you stop VampirServer after finishing your work with
+the front-end or with
+
+```Bash
+vampirserver stop
+```
+
+Type
+
+```Bash
+vampirserver help
+```
+
+for further information. The [user manual of
+VampirServer](http://tu-dresden.de/die_tu_dresden/zentrale_einrichtungen/zih/forschung/projekte/vampir/dateien/VampirServer-User-Manual.pdf)
+can be found at *installation directory* /doc/vampirserver-manual.pdf.
+Type
+
+```Bash
+which vampirserver
+```
+
+to find the revision dependent *installation directory*.
+
+### Port Forwarding
+
+VampirServer listens to a given socket port. It is possible to forward
+this port (SSH tunnel) to a remote machine. This procedure is not
+recommended and not needed at ZIH. However, the following example shows
+the tunneling to a VampirServer on a compute node at Taurus. The same
+procedure works on Venus.
+
+Start VampirServer on Taurus and wait for its scheduling:
+
+```Bash
+vampirserver start
+```
+
+and wait for scheduling
+
+```Bash
+Launching VampirServer...
+Submitting slurm 30 minutes job (this might take a while)...
+salloc: Granted job allocation 2753510
+VampirServer 8.1.0 (r8451)
+Licensed to ZIH, TU Dresden
+Running 4 analysis processes... (abort with vampirserver stop 594)
+VampirServer listens on: taurusi1253:30055
+```
+
+Open a second console on your local desktop and create an ssh tunnel to the compute node with:
+
+```Bash
+ssh -L 30000:taurusi1253:30055 taurus.hrsk.tu-dresden.de
+```
+
+Now, the port 30000 on your desktop is connected to the VampirServer port 30055 at the compute node
+taurusi1253 of Taurus. Finally, start your local Vampir client and establish a remote connection to
+`localhost`, port 30000 as described in the manual.
+
+Remark: Please substitute the ports given in this example with appropriate numbers and available
+ports.
+
+### Nightly builds (unstable)
+
+Expert users who subscribed to the development program can test new, unstable tool features. The
+corresponding Vampir and VampirServer software releases are provided as nightly builds. Unstable
+versions of VampirServer are also installed on the HPC systems. The most recent version can be
+launched/connected by entering `unstable` as *Setup name* in the *Open Remote* dialog of Vampir.
+
+\<img alt=""
+src="%ATTACHURLPATH%/vampir_open_remote_dialog_unstable.png"
+title="Connecting to unstable VampirServer" />
diff --git a/doc.zih.tu-dresden.de/mkdocs.yml b/doc.zih.tu-dresden.de/mkdocs.yml
index 7b1774a37f357a44ce2e7d1c635572933e0f144d..f96e2b1b7a3bbc48fa29e84f26c849207f1e778e 100644
--- a/doc.zih.tu-dresden.de/mkdocs.yml
+++ b/doc.zih.tu-dresden.de/mkdocs.yml
@@ -50,14 +50,17 @@ nav:
- VM tools: software/VMTools.md
- Virtual Desktops: software/VirtualDesktops.md
- Software Development and Tools:
+ - Overview: software/SoftwareDevelopment.md
- GPU Programming: software/GPUProgramming.md
- Compilers: software/Compilers.md
- Debuggers: software/Debuggers.md
+ - Libraries: software/Libraries.md
- MPI Error Detection: software/MPIUsageErrorDetection.md
- Score-P: software/ScoreP.md
- PAPI Library: software/PapiLibrary.md
- Perf Tools: software/PerfTools.md
- PIKA: software/pika.md
+ - Vampir: software/Vampir.md
- Data Management:
- Overview: data_management/DataManagement.md
- Announcement of Quotas: data_management/AnnouncementOfQuotas.md
diff --git a/twiki2md/root/PerformanceTools/Vampir.md b/twiki2md/root/PerformanceTools/Vampir.md
deleted file mode 100644
index 2d681ac83d9a99794069d56f4f73258ee07c6c68..0000000000000000000000000000000000000000
--- a/twiki2md/root/PerformanceTools/Vampir.md
+++ /dev/null
@@ -1,186 +0,0 @@
-# Vampir
-
-Contents:
-
-1 [Introduction](#VampirIntro) 1 [Starting Vampir](#VampirUsage) 1
-[Using VampirServer](#VampirServerUsage) 1 [Advanced
-usage](#VampirAdvanced) 1 [Manual server
-startup](#VampirManualServerStartup) 1 [Port
-forwarding](#VampirPortForwarding) 1 [Nightly builds
-(unstable)](#VampirServerUnstable)
-
-#VampirIntro
-
-## Introduction
-
-Vampir is a graphical analysis framework that provides a large set of
-different chart representations of event based performance data
-generated through program instrumentation. These graphical displays,
-including state diagrams, statistics, and timelines, can be used by
-developers to obtain a better understanding of their parallel program
-inner working and to subsequently optimize it. Vampir allows to focus on
-appropriate levels of detail, which allows the detection and explanation
-of various performance bottlenecks such as load imbalances and
-communication deficiencies. [Follow this link for further
-information](http://tu-dresden.de/die_tu_dresden/zentrale_einrichtungen/zih/forschung/projekte/vampir).
-
-A growing number of performance monitoring environments like
-[VampirTrace](Compendium.VampirTrace), Score-P, TAU or KOJAK can produce
-trace files that are readable by Vampir. The tool supports trace files
-in Open Trace Format (OTF, OTF2) that is developed by ZIH and its
-partners and is especially designed for massively parallel programs.
-
-\<img alt="" src="%ATTACHURLPATH%/vampir-framework.png" title="Vampir
-Framework" />
-
-#VampirUsage
-
-## Starting Vampir
-
-Prior to using Vampir you need to set up the correct environment on one
-the HPC systems with:
-
- module load vampir
-
-For members of TU Dresden the Vampir tool is also available as
-[download](http://tu-dresden.de/die_tu_dresden/zentrale_einrichtungen/zih/forschung/projekte/vampir/vampir_download_tu)
-for installation on your personal computer.
-
-Make sure, that compressed display forwarding (e.g.
-`ssh -XC taurus.hrsk.tu-dresden.de`) is enabled. Start the GUI by typing
-
- vampir
-
-on your command line or by double-clicking the Vampir icon on your
-personal computer.
-
-Please consult the [Vampir user
-manual](http://tu-dresden.de/die_tu_dresden/zentrale_einrichtungen/zih/forschung/projekte/vampir/dateien/Vampir-User-Manual.pdf)
-for a tutorial on using the tool.
-
-#VampirServerUsage
-
-## Using VampirServer
-
-VampirServer provides additional scalable analysis capabilities to the
-Vampir GUI mentioned above. To use VampirServer on the HPC resources of
-TU Dresden proceed as follows: start the Vampir GUI as described above
-and use the *Open Remote* dialog with the parameters indicated in the
-following figure to start and connect a VampirServer instance running on
-taurus.hrsk.tu-dresden.de. Make sure to fill in your personal ZIH login
-name.
-
-\<img alt="" src="%ATTACHURLPATH%/vampir_open_remote_dialog.png"
-title="Vampir Open Remote Dialog" />
-
-Click on the Connect button and wait until the connection is
-established. Enter your password when requested. Depending on the
-available resources on the target system, this setup can take some time.
-Please be patient and take a look at available resources beforehand.
-
-#VampirAdvanced
-
-## Advanced Usage
-
-#VampirManualServerStartup
-
-### Manual Server Startup
-
-VampirServer is a parallel MPI program, which can also be started
-manually by typing:
-
- vampirserver start
-
-Above automatically allocates its resources via the respective batch
-system. Use
-
- vampirserver start mpi
-
-or
-
- vampirserver start srun
-
-if you want to start vampirserver without batch allocation or inside an
-interactive allocation. The latter is needed whenever you manually take
-care of the resource allocation by yourself.
-
-After scheduling this job the server prints out the port number it is
-serving on, like `Listen port: 30088`.
-
-Connecting to the most recently started server can be achieved by
-entering `auto-detect` as *Setup name* in the *Open Remote* dialog of
-Vampir.
-
-\<img alt=""
-src="%ATTACHURLPATH%/vampir_open_remote_dialog_auto_start.png"
-title="Vampir Open Remote Dialog" />
-
-Please make sure you stop VampirServer after finishing your work with
-the front-end or with
-
- vampirserver stop
-
-Type
-
- vampirserver help
-
-for further information. The [user manual of
-VampirServer](http://tu-dresden.de/die_tu_dresden/zentrale_einrichtungen/zih/forschung/projekte/vampir/dateien/VampirServer-User-Manual.pdf)
-can be found at *installation directory* /doc/vampirserver-manual.pdf.
-Type
-
- which vampirserver
-
-to find the revision dependent *installation directory*.
-
-#VampirPortForwarding
-
-### Port Forwarding
-
-VampirServer listens to a given socket port. It is possible to forward
-this port (SSH tunnel) to a remote machine. This procedure is not
-recommended and not needed at ZIH. However, the following example shows
-the tunneling to a VampirServer on a compute node at Taurus. The same
-procedure works on Venus.
-
-Start VampirServer on Taurus and wait for its scheduling:
-
- vampirserver start
-
-and wait for scheduling
-
- Launching VampirServer...
- Submitting slurm 30 minutes job (this might take a while)...
- salloc: Granted job allocation 2753510
- VampirServer 8.1.0 (r8451)
- Licensed to ZIH, TU Dresden
- Running 4 analysis processes... (abort with vampirserver stop 594)
- VampirServer listens on: taurusi1253:30055
-
-Open a second console on your local desktop and create an ssh tunnel to
-the compute node with:
-
- ssh -L 30000:taurusi1253:30055 taurus.hrsk.tu-dresden.de
-
-Now, the port 30000 on your desktop is connected to the VampirServer
-port 30055 at the compute node taurusi1253 of Taurus. Finally, start
-your local Vampir client and establish a remote connection to
-`localhost`, port 30000 as described in the manual.
-
-Remark: Please substitute the ports given in this example with
-appropriate numbers and available ports.
-
-#VampirServerUnstable
-
-### Nightly builds (unstable)
-
-Expert users who subscribed to the development program can test new,
-unstable tool features. The corresponding Vampir and VampirServer
-software releases are provided as nightly builds. Unstable versions of
-VampirServer are also installed on the HPC systems. The most recent
-version can be launched/connected by entering `unstable` as *Setup name*
-in the *Open Remote* dialog of Vampir.
-
-\<img alt=""
-src="%ATTACHURLPATH%/vampir_open_remote_dialog_unstable.png"
-title="Connecting to unstable VampirServer" />
diff --git a/twiki2md/root/SoftwareDevelopment/Libraries.md b/twiki2md/root/SoftwareDevelopment/Libraries.md
deleted file mode 100644
index 5ee93b848c913ccdc837f9d2d61089c4e508cd21..0000000000000000000000000000000000000000
--- a/twiki2md/root/SoftwareDevelopment/Libraries.md
+++ /dev/null
@@ -1,100 +0,0 @@
-# Libraries
-
-The following libraries are available on our platforms:
-
-| | | | |
-|-----------|-----------------------|-----------------|------------|
-| | **Taurus** | **Venus** | **module** |
-| **Boost** | 1.49, 1.5\[4-9\], 160 | 1.49, 1.51,1.54 | boost |
-| **MKL** | 2013, 2015 | 2013 | mkl |
-| **FFTW** | 3.3.4 | | fftw |
-
-## The Boost Library
-
-Boost provides free peer-reviewed portable C++ source libraries, ranging
-from multithread and MPI support to regular expression and numeric
-funtions. See at <http://www.boost.org> for detailed documentation.
-
-## BLAS/LAPACK
-
-### Example
-
- program ExampleProgram
-
- external dgesv
- integer:: n, m, c, d, e, Z(2) !parameter definition
- double precision:: A(2,2), B(2)
-
- n=2; m=1; c=2; d=2;
-
- A(1,1) = 1.0; A(1,2) = 2.0; !parameter setting
- A(2,1) = 3.0; A(2,2) = 4.0;
-
- B(1) = 14.0; B(2) = 32.0;
-
- Call dgesv(n,m,A,c,Z,B,d,e); !call the subroutine
-
- write(*,*) "Solution ", B(1), " ", B(2) !display on desktop
-
- end program ExampleProgram
-
-### Math Kernel Library (MKL)
-
-The Intel Math Kernel Library is a collection of basic linear algebra
-subroutines (BLAS) and fast fourier transformations (FFT). It contains
-routines for:
-
-- Solvers such as linear algebra package (LAPACK) and BLAS
-- Eigenvector/eigenvalue solvers (BLAS, LAPACK)
-- PDEs, signal processing, seismic, solid-state physics (FFTs)
-- General scientific, financial - vector transcendental functions,
- vector markup language (XML)
-
-More speciï¬cally it contains the following components:
-
-- BLAS:
- - Level 1 BLAS: vector-vector operations, 48 functions
- - Level 2 BLAS: matrix-vector operations, 66 functions
- - Level 3 BLAS: matrix-matrix operations, 30 functions
-- LAPACK (linear algebra package), solvers and eigensolvers, hundreds
- of routines, more than 1000 user callable routines
-- FFTs (fast Fourier transform): one and two dimensional, with and
- without frequency ordering (bit reversal). There are wrapper
- functions to provide an interface to use MKL instead of FFTW.
-- VML (vector math library), set of vectorized transcendental
- functions
-- Parallel Sparse Direct Linear Solver (Pardiso)
-
-Please note: MKL comes in an OpenMP-parallel version. If you want to use
-it, make sure you know how to place your jobs. {{ In \[c't 18, 2010\],
-Andreas Stiller proposes the usage of `GOMP_CPU_AFFINITY` to allow the
-mapping of AMD cores. KMP_AFFINITY works only for Intel processors. }}
-
-#### Linking with the MKL
-
-For linker flag combinations, Intel provides the MKL Link Line Advisor
-at
-<http://software.intel.com/en-us/articles/intel-mkl-link-line-advisor/>
-(please make sure that JavaScript is enabled for this page).
-
-Can be compiled with MKL 11 like this
-
- ifort -I$MKL_INC -L$MKL_LIB -lmkl_core -lm -lmkl_gf_ilp64 -lmkl_lapack example.f90
-
-#### Linking with the MKL at VENUS
-
-Please follow the infomation at website \<br />
-<http://hpcsoftware.ncsa.illinois.edu/Software/user/show_all.php?deploy_id=951&view=NCSA>
-
- icc -O1 -I/sw/global/compilers/intel/2013/mkl//include -lmpi -mkl -lmkl_scalapack_lp64 -lmkl_blacs_sgimpt_lp64 -lmkl_intel_lp64 -lmkl_sequential -lmkl_core example.c
-
-####
-
-## FFTW
-
-FFTW is a C subroutine library for computing the discrete Fourier
-transform (DFT) in one or more dimensions, of arbitrary input size, and
-of both real and complex data (as well as of even/odd data, i.e. the
-discrete cosine/sine transforms or DCT/DST). Before using this library,
-please check out the functions of vendor speciï¬c libraries ACML and/or
-MKL.
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-# Software Development at HPC systems
-
-This section should provide you with the basic knowledge and tools to
-get you out of trouble. It will tell you:
-
-- How to compile your code
-- Using mathematical libraries
-- Find caveats and hidden errors in application codes
-- Handle debuggers
-- Follow system calls and interrupts
-- Understand the relationship between correct code and performance
-
-Some hints that are helpful:
-
-- Stick to standards wherever possible, e.g. use the **`-std`** flag
- for GNU and Intel C/C++ compilers. Computers are short living
- creatures, migrating between platforms can be painful. In addition,
- running your code on different platforms greatly increases the
- reliably. You will find many bugs on one platform that never will be
- revealed on another.
-- Before and during performance tuning: Make sure that your code
- delivers the correct results.
-
-Some questions you should ask yourself:
-
-- Given that a code is parallel, are the results independent from the
- numbers of threads or processes?
-- Have you ever run your Fortran code with array bound and subroutine
- argument checking (the **`-check all`** and **`-traceback`** flags
- for the Intel compilers)?
-- Have you checked that your code is not causing floating point
- exceptions?
-- Does your code work with a different link order of objects?
-- Have you made any assumptions regarding storage of data objects in
- memory?
-
-Subsections:
-
-- [Compilers](Compilers)
-- [Debugging Tools](Debugging Tools)
- - [Debuggers](Debuggers) (GDB, Allinea DDT, Totalview)
- - [Tools to detect MPI usage errors](MPIUsageErrorDetection)
- (MUST)
-- [Performance Tools](Performance Tools) (Score-P, Vampir, performance
- counters, etc.)
-- [Libraries](Libraries)
-- [Miscellaneous](Miscellaneous)
-
-Intel Tools Seminar \[Oct. 2013\]
-
-- [TU-Dresden_Intel_Multithreading_Methodologies.pdf](%ATTACHURL%/TU-Dresden_Intel_Multithreading_Methodologies.pdf):
- Intel Multithreading Methodologies
-- [TU-Dresden_Advisor_XE.pdf](%ATTACHURL%/TU-Dresden_Advisor_XE.pdf):
- Intel Advisor XE - Threading prototyping tool for software
- architects
-- [TU-Dresden_Inspector_XE.pdf](%ATTACHURL%/TU-Dresden_Inspector_XE.pdf):
- Inspector XE - Memory-, Thread-, Pointer-Checker, Debugger
-- [TU-Dresden_Intel_Composer_XE.pdf](%ATTACHURL%/TU-Dresden_Intel_Composer_XE.pdf):
- Intel Composer - Compilers, Libraries