From SNIC Documentation
Jump to: navigation, search


Scalasca is a performance analysis tool specially geared towards investigating parallel programs. It can also be deployed to profile serial applications.

Scalasca can analyse programs written in Fortran, C and C++, which are parallelised in MPI and/or OpenMP. From the output one can learn where a parallel program is spending time. The tool also highlights typical problems associated with parallel programming, such as load imbalance issues in the code. If the hardware performance counter tool PAPI is installed on a system, this can be integrated into Scalasca.

Scalasca comes with a GUI to visualise the results, which aims to conveniently display the performance issues of an application, even if a large number of tasks and threads are deployed. The results can also be analysed with a number of tools provided by other groups, such as e.g.: Paraver.


AlarikLUNARCthroughput cluster resource of 40 TFLOPS
AuroraLUNARCthroughput/general purpose cluster resource
PlatonLUNARCthroughput cluster resource of 26 TFLOPS
TriolithNSCCapability cluster with 338 TFLOPS peak and 1:2 Infiniband fat-tree


License: Free.

Free but copyright


Overview presentation on the capabilities of Scalasca, given by Joachim Hein from Lunarc to the SNIC application expert group, when they met in Göteborg. Click here to see the slides.


These experts have registered specific competence on this subject:

  FieldAE FTEGeneral activities
Joachim Hein (LUNARC)LUNARCParallel programming
Performance optimisation
85Parallel programming support
Performance optimisation
HPC training