Marian Bubak 1,2, Włodzimierz Funika 1,2, Roland Wismüller 3, Tomasz Arodź 1,2, Marcin Kurdziel 1,2 1 Institute of Computer Science, AGH, Kraków, Poland 2 Academic Computer Centre CYFRONET-AGH, Kraków, Poland 3 Fachgruppe BVS -- Universität Siegen, Siegen, Germany Grid-enabled Performance Monitor Performance Measurement with the G-PM Goals of G-PM: G-PM is a performance monitor for parallel grid applications. It was designed to provide performance data in an on-line fashion and can be easily applied to virtually any monitoring scenario. Target users’ community: G-PM is provided for the users of parallel grid-enabled applications as well as their developers. Supported Platforms: G-PM was developed for Linux operating system running on i386 platform. Tested on RedHat Linux 7.3 and Slackware Linux 8.1. The X Window system and OCM-G monitoring infrastructure are needed to run G-PM Software availability Main Features of the G-PM G-PM installation package is available at:: gcc3.2.2/wp2/RPMS/ The user documentation can be downloaded from: G-PM is distributed under EDG License Agreement. Installation, use, modification and redistribution are permitted, as long as the EDG license is reproduced.  G-PM provides a predefined set of standard performance metrics for MPI applications.  G-PM supports a probe mechanism which allow to inspect application control flow in run time and retrieve content of internal application variables.  A dedicated Performance Measurement Specification Language can be used to define new performance metrics, specific to a given monitoring scenario.  Supports narrowing of performance monitoring to any set of computing sites, nodes, processes or application code regions.  Provides a convenient Graphical User Interface with a set of performance visualization widgets.  Retrieves low level performance data via appropriate programming of the CrossGrid OCM-G service. Standard performance metrics:  Operation invocation count and delay : in point-to-point and group communication  Data volume: in point-to-point communication  Application related CPU time Memory size  Grid infrastructure related: CPU load,  Other User-defined metrics:  Based on probes, i.e. special functions inserted into program source code to mark certain execution points  Based on combining or transforming standard metrics, e.g. dividing results of one metric by results for another References 1.Balis, B., Bubak, M., Funika, W., Szepieniec, T. and Wismüller, R.: Monitoring and Performance Analysis of Grid Application. Lecture Notes in Computer Science Vol. 2657, Springer, Bubak, M., Funika, W., Wismüller, R., Arodz, T. and Kurdziel, M.: The G-PM Tool for Grid- oriented Performance Analysis. Lecture Notes in Computer Science Vol. 2970, Springer, Baliś, B., Bubak, M., Funika, W., Wismüller, R., Radecki, M., Szepieniec, T., Arodź, T. and Kurdziel, M. Performance Evaluation and Monitoring of Interactive Grid Applications Lecture Notes in Computer Science, Vol. 3241, Springer, 2004