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Scalasca: Difference between revisions
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{{Infobox software | {{Infobox software | ||
| logo = [[Image:scalasca-logo.png]] | |||
| description = Scalasca is an open-source toolset for the performance analyzes of parallel applications helping to identify optimization opportunities. It has been specifically designed for the use on large-scale systems including Cray XT/XE, but is also well-suited for small- and medium-scale HPC platforms. Scalasca supports an incremental performance-analysis procedure that integrates runtime summaries with in-depth studies of concurrent behavior via event tracing, adopting a strategy of successively refined measurement configurations. A distinctive feature is the ability to identify wait states that occur, for example, as a result of unevenly distributed workloads. | | description = Scalasca is an open-source toolset for the performance analyzes of parallel applications helping to identify optimization opportunities. It has been specifically designed for the use on large-scale systems including Cray XT/XE, but is also well-suited for small- and medium-scale HPC platforms. Scalasca supports an incremental performance-analysis procedure that integrates runtime summaries with in-depth studies of concurrent behavior via event tracing, adopting a strategy of successively refined measurement configurations. A distinctive feature is the ability to identify wait states that occur, for example, as a result of unevenly distributed workloads. | ||
| developer = JSC | | developer = JSC | ||
Revision as of 12:42, 19 August 2011
| Scalasca is an open-source toolset for the performance analyzes of parallel applications helping to identify optimization opportunities. It has been specifically designed for the use on large-scale systems including Cray XT/XE, but is also well-suited for small- and medium-scale HPC platforms. Scalasca supports an incremental performance-analysis procedure that integrates runtime summaries with in-depth studies of concurrent behavior via event tracing, adopting a strategy of successively refined measurement configurations. A distinctive feature is the ability to identify wait states that occur, for example, as a result of unevenly distributed workloads. |
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Usage
To use Scalsca first load the respective software module:
module load performance/scalasca
First instrument your application using the scin (scalasca -instrument) command and the MPI compiler
skin mpicc myapp.c -o myapp
Then analyze your application using the scan (scalasca -analyze) command and mpirun
scan mpirun -np ${NP} myapp
The last step is to explore the generated reports by rerunning your application using the square (scalasca -examine) command:
square mpirun -np ${NP} myapp
To view the final results you then can use the Cube3 GUI
cube3