Difference between revisions of "Scalasca"
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Scalasca can analyse programs written in [[Fortran]], [[C]] and [[C++]] which are parallelised in [[MPI]] and/or [[OpenMP]]. | Scalasca can analyse programs written in [[Fortran]], [[C]] and [[C++]] which are parallelised in [[MPI]] and/or [[OpenMP]]. | ||
| + | == Availability == | ||
| + | {{list resources for software}} | ||
== License == | == License == | ||
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Free but copyright | Free but copyright | ||
| − | + | == Experts == | |
| − | == | + | {{list experts}} |
| − | {{list | ||
== Links == | == Links == | ||
Revision as of 12:26, 20 September 2012
Contents
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.
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
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 |
