[Scalasca](http://www.scalasca.org/) is a software tool that supports the performance optimization of parallel programs by measuring and analyzing their runtime behavior. The analysis identifies potential performance bottlenecks – in particular those concerning communication and synchronization – and offers guidance in exploring their causes.
[Scalasca][a] is a software tool that supports the performance optimization of parallel programs by measuring and analyzing their runtime behavior. The analysis identifies potential performance bottlenecks – in particular those concerning communication and synchronization – and offers guidance in exploring their causes.
Scalasca supports profiling of MPI, OpenMP and hybrid MPI+OpenMP applications.
## Installed Versions
There are currently two versions of Scalasca 2.0 [modules](modules-matrix/) installed on Anselm:
There are currently two versions of Scalasca 2.0 [modules][1] installed on Anselm:
* scalasca2/2.0-gcc-openmpi, for usage with [GNU Compiler](software/compilers/) and [OpenMPI](software/mpi/Running_OpenMPI/),
* scalasca2/2.0-icc-impi, for usage with [Intel Compiler](software/compilers/) and [Intel MPI](software/mpi/running-mpich2/).
* scalasca2/2.0-gcc-openmpi, for usage with [GNU Compiler][2] and [OpenMPI][3],
* scalasca2/2.0-icc-impi, for usage with [Intel Compiler][2] and [Intel MPI][4].
## Usage
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@@ -23,7 +23,7 @@ Profiling a parallel application with Scalasca consists of three steps:
### Instrumentation
Instrumentation via `scalasca -instrument` is discouraged. Use [Score-P instrumentation](software/debuggers/score-p/).
Instrumentation via `scalasca -instrument` is discouraged. Use [Score-P instrumentation][5].
### Runtime Measurement
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@@ -43,11 +43,11 @@ Some notable Scalasca options are:
***-e <directory> Specify a directory to save the collected data to. By default, Scalasca saves the data to a directory with prefix scorep\_, followed by name of the executable and launch configuration.**
!!! note
Scalasca can generate a huge amount of data, especially if tracing is enabled. Please consider saving the data to a [scratch directory](salomon/storage/).
Scalasca can generate a huge amount of data, especially if tracing is enabled. Please consider saving the data to a [scratch directory][6].
### Analysis of Reports
For the analysis, you must have [Score-P](software/debuggers/score-p/) and [CUBE](software/debuggers/cube/) modules loaded. The analysis is done in two steps, first, the data is preprocessed and then CUBE GUI tool is launched.
For the analysis, you must have [Score-P][5] and [CUBE][7] modules loaded. The analysis is done in two steps, first, the data is preprocessed and then CUBE GUI tool is launched.
Alternatively you can open CUBE and load the data directly from here. Keep in mind that in that case the pre-processing is not done and not all metrics will be shown in the viewer.
Refer to [CUBE documentation](software/debuggers/cube/) on usage of the GUI viewer.
Refer to [CUBE documentation][7] on usage of the GUI viewer.
