Scalable parallel performance measurement and analysis tools - state-of-the-art and future challenges

Mohr, Bernd

doi:10.14529/jsfi140207

Journal Article

FZJ-2015-00907

Scalable parallel performance measurement and analysis tools - state-of-the-art and future challenges

Mohr, B. (Corresponding Author)FZJ*

2014
South Ural State University Chelyabinsk

Supercomputing frontiers and innovations 1(2), 108-123 (2014) [10.14529/jsfi140207]

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Abstract: Current large-scale HPC systems consist of complex configurations with a huge number of potentially heterogeneous components. As the systems get larger, their behavior becomes more and more dynamic and unpredictable because of hard- and software re-configurations due to faultrecovery and power usage optimizations. Deep software hierarchies of large, complex system software and middleware components are required to operate such systems. Therefore, porting, adapting and tuning applications to today's complex systems is a complicated and time-consumingtask. Sophisticated integrated performance measurement, analysis, and optimization capabilities are required to efficiently utilize such systems. This article will summarize the state-of-the-art of scalable and portable parallel performance tools and the challenges these tools are facing on future extreme-scale and big data systems.

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