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Integrated parallel performance views

delete2007-11-27
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PRE
AI
A
Aroon Nataraj *
A
Allen D. Malony
S
Sameer Shende
A
Alan Morris
DOI:10.1007/s10586-007-0051-6delete
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Abstract

Abstract

En 中文
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.
Keywords:
parallel performance
kernel
Linux
instrumentation
measurement
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

C
Cluster Computing-The Journal of Networks Software Tools and Applications
IF:
4.1
Papers:
5.1K
Citations:
7.5K

Organization

U
university of oregon
Scholars:
6.5K
Papers: 6.1K
Citations: 6
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