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Cache-Related Performance Analysis Using Rogue Wave Software’s ThreadSpotter

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Abstract

Modern processors cannot deliver high performance without applying caching mechanisms. However, the cache-conscious programming requires from the developer quite a deep knowledge about the underlying processor’s hardware architecture and is thus very hard to be adopted by the software codes. The cache-aware application optimization is getting even more challenging for the parallel (multi-threaded) applications running in multi-processor and/or multi-core environments. We introduce the Rogue Wave Software’s ThreadSpotter performance analysis tool, which is designed to simplify the cache-aware application development by leveraging the unique performance optimization techniques. Following an original statistical approach, ThreadSpotter enables the in-depth application analysis on the wide range of hardware platforms.

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Notes

  1. 1.

    This statistical metric is introduced by Rogue Wave Software.

References

  1. Berg, Hakan and Hagersten. A Statistical Multiprocessor Cache Model by Erik Berg, Hȧkan Zeffer, and Erik Hagersten. In Proceedings of the 2006 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS-2006), Austin, Texas, USA, March 2006.

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  2. Rogue Wave Software. ThreadSpotter Manual Version 2012.1 Boulder, CO, USA. 2012

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Correspondence to Royd Lüdtke .

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© 2013 Springer-Verlag Berlin Heidelberg

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Lüdtke, R., Gottbrath, C. (2013). Cache-Related Performance Analysis Using Rogue Wave Software’s ThreadSpotter. In: Cheptsov, A., Brinkmann, S., Gracia, J., Resch, M., Nagel, W. (eds) Tools for High Performance Computing 2012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37349-7_6

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