Integrated parallel performance views |
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Authors: | Aroon Nataraj Allen D Malony Sameer Shende Alan Morris |
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Institution: | (1) Department of Computer and Information Science, University of Oregon, Eugene, OR, USA |
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Abstract: | The influences of the operating system and system-specific effects on application performance are increasingly important considerations
in high performance computing. OS kernel measurement is key to understanding the performance influences and the interrelationship
of system and user-level performance factors. The KTAU (Kernel TAU) methodology and Linux-based framework provides parallel
kernel performance measurement from both a kernel-wide and process-centric perspective. The first characterizes overall aggregate kernel performance for the entire system. The second characterizes
kernel performance when it runs in the context of a particular process. KTAU extends the TAU performance system with kernel-level
monitoring, while leveraging TAU’s measurement and analysis capabilities. We explain the rational and motivations behind our
approach, describe the KTAU design and implementation, and show working examples on multiple platforms demonstrating the versatility
of KTAU in integrated system/application monitoring.
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Keywords: | Parallel performance Kernel Linux Instrumentation Measurement |
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