In grid computing where data processing takes place on many machines it is essential to have possibility to see a whole execution workflow. It enables the user to visually assess the computing-to-communication time ratio, frequency of executed probes or library functions, delay and volume of communication, or simply to observe how all nodes are actually working. In this paper we introduce the Ocm2Prv tool that makes it possible to visually analyze the execution of parallel applications developed with MPI library. The tool couples the functionality of two flexible environments - the OCM-G grid-enabled monitoring system and performance visualization tool Paraver. Implications coming from other Grid models, especially, GCM are also addressed.
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Funika, W., Zientarski, M., Badia, R.M., Labarta, J., Bubak, M. (2008). Performance Visualization Of Grid Applications Based On OCM-G And Paraver. In: Gorlatch, S., Fragopoulou, P., Priol, T. (eds) Grid Computing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09457-1_10
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DOI: https://doi.org/10.1007/978-0-387-09457-1_10
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