A Lightweight Dynamic Application Monitor for SMP Clusters

Karl Fürlinger () and Michael Gerndt ()
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Karl Fürlinger: Technische Universität München, Institut für Informatik, Lehrstuhl für Rechnertechnik und Rechnerorganisation
Michael Gerndt: Technische Universität München, Institut für Informatik, Lehrstuhl für Rechnertechnik und Rechnerorganisation

A chapter in High Performance Computing in Science and Engineering, Munich 2004, 2005, pp 27-36 from Springer

Abstract: Abstract In the Peridot project our goal is a portable environment for performance analysis for terascale computing that realizes a combination of new concepts including distribution, on-line processing and automation. In this paper we present the lightweight dynamic application monitoring approach that forms the basis for this environment. In our distributed monitoring solution we try to minimize the perturbation of the target application while retaining flexibility with respect to configurability and close-to-source filtering and pre-processing of performance data. We achieve this goal by separating the monitor in a passive monitoring library linked to the application and an active component called runtime information producer (RIP) which provides performance data (metric and event based) for individual nodes of the system through a monitoring request interface (MRI). By querying a directory service, tools discover which RIPs provide the data they need.

Keywords: Performance Data; Directory Service; Target Application; Performance Counter; Application Thread (search for similar items in EconPapers)
Date: 2005
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DOI: 10.1007/3-540-26657-7_2

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