Title :
Kernel-Level Measurement for Integrated Parallel Performance Views: the KTAU Project
Author :
Nataraj, Aroon ; Malony, Allen D. ; Shende, Sameer ; Morris, Alan
Author_Institution :
Dept. of Comput. & Inf. Sci., Oregon Univ., Eugene, OR
Abstract :
The effect of the operating system on application performance is an increasingly important consideration 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 :
Linux; operating system kernels; KTAU Project; Kernel TAU methodology; Linux-based framework; OS kernel measurement; high performance computing; integrated parallel performance views; lernel-level measurement; operating system; parallel kernel performance measurement; Aggregates; Concurrent computing; Context-aware services; High performance computing; Information science; Kernel; Measurement; Monitoring; Operating systems; Performance analysis;
Conference_Titel :
Cluster Computing, 2006 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
1-4244-0327-8
Electronic_ISBN :
1552-5244
DOI :
10.1109/CLUSTR.2006.311847