Abstract
State of the art High Performance Computing (HPC) systems pose considerable programming challenges to application developers when tuning their applications. Periscope toolkit is one of a number of performance engineering instruments supporting application programmers in meeting those challenges. Due to the variety of architectures, programming models, runtime environments, and compilers on those systems, programmers need to apply multiple tools to understand and improve program performance. In this paper, we present the latest developments in Periscope aiming at (1) improving its interoperability and integration with other tools, (2) integrating automatic tuning support with performance analysis and (3) further extending performance analysis capabilities. The add-on for Periscope, called PAThWay, allows for the integration of multiple tools into performance tuning workflows. Further, Periscope is currently being extended with the ability to automatically tune parallel applications with respect to execution performance and energy consumption. And finally, new analysis capabilities were added to Periscope for the automatic evaluation of the temporal performance behavior of long-running applications.
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Acknowledgements
The authors thank the European Union for supporting AutoTune project under the Seventh Framework Programme, grant no. 288038 and German Federal Ministry of Research and Education (BMBF) for supporting LMAC project under the Grant No. 01IH11006F.
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Oleynik, Y., Mijaković, R., Comprés Ureña, I.A., Firbach, M., Gerndt, M. (2014). Recent Advances in Periscope for Performance Analysis and Tuning. In: Knüpfer, A., Gracia, J., Nagel, W., Resch, M. (eds) Tools for High Performance Computing 2013. Springer, Cham. https://doi.org/10.1007/978-3-319-08144-1_4
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