Scalasca

Overview

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.

Availability

Resource	Centre	Description
Alarik	LUNARC	throughput cluster resource of 40 TFLOPS
Aurora	LUNARC	throughput/general purpose cluster resource
Platon	LUNARC	throughput cluster resource of 26 TFLOPS
Triolith	NSC	Capability cluster with 338 TFLOPS peak and 1:2 Infiniband fat-tree

License

License: Free.

Free but copyright

Reviews

Joachim Hein from Lunarc gave a presentation on Scalasca to the SNIC application expert group in Göteborg. The slides from this presentation are publicly available.

Experts

These experts have registered specific competence on this subject:

		Field	AE FTE	General activities
Joachim Hein (LUNARC)	LUNARC	Parallel programming Performance optimisation	85	Parallel programming support Performance optimisation HPC training

Links

• Official website
• Documentation