Abstract
In the high performance computing (HPC) field, computer and natural scientists work together to solve complex problems. While computer scientists try their best to meet the needs of domain experts, the latter ones still require deeper know-how in informatics to bring their science onto machines in an optimal way. Applications typically require significant optimisation and tuning efforts to harness the performance capabilities of HPC systems. A wide range of very different analyse tools are available for this purpose, but their use is time-consuming and thus also a financial burden. This work is the first to introduce an extensible framework which does not only provide a convenient graphical interface for HPC performance analysis tools, but also simplifies their usage extremely. On this path the foundation for automated scientific software analysis and optimisation workflows is layed, which is believed to become increasingly necessary.
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