intel-mkl.md
Scalasca
Introduction
Scalasca 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 installed on Anselm:
- scalasca2/2.0-gcc-openmpi, for usage with GNU Compiler and OpenMPI,
- scalasca2/2.0-icc-impi, for usage with Intel Compiler and Intel MPI.
Usage
Profiling a parallel application with Scalasca consists of three steps:
- Instrumentation, compiling the application such way, that the profiling data can be generated.
- Runtime measurement, running the application with the Scalasca profiler to collect performance data.
- Analysis of reports
Instrumentation
Instrumentation via " scalasca -instrument" is discouraged. Use Score-P instrumentation.
Runtime measurement
After the application is instrumented, runtime measurement can be performed with the " scalasca -analyze" command. The syntax is:
scalasca -analyze [scalasca options][launcher] [launcher options][program] [program options]
An example :
$ scalasca -analyze mpirun -np 4 ./mympiprogramSome notable Scalasca options are:
-t Enable trace data collection. By default, only summary data are collected. -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 "Note" Scalasca can generate a huge amount of data, especially if tracing is enabled. Please consider saving the data to a scratch directory.