Abstract
Performance analysis of applications on large clusters of SMPs requires a monitoring approach that supports tools realizing concepts like automation, distribution and on-line operations. Key goals are a minimization of the perturbation of the target application and flexibility and efficiency with respect to data pre-processing and filtering. To achieve these goals, our approach separates the monitor into a passive monitoring library linked to the application and an active ‘runtime information producer’ (RIP) which handles monitoring requests and performs pre-processing (e.g., aggregation) of performance data for individual cluster nodes. A directory service can be queried to discover which RIPs handle which nodes.
Part of this work is funded by the Competence Network for High-Performance Computing in Bavaria KONWIHR (http://konwihr.in.tum.de) and by the European Commission via the APART working group (http://www.fz-juelich.de/apart).
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Fürlinger, K., Gerndt, M. (2003). Distributed Configurable Application Monitoring on SMP Clusters. In: Dongarra, J., Laforenza, D., Orlando, S. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2003. Lecture Notes in Computer Science, vol 2840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39924-7_58
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DOI: https://doi.org/10.1007/978-3-540-39924-7_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20149-6
Online ISBN: 978-3-540-39924-7
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