Abstract
Actual behaviour of parallel programs is of capital importance for the development of an application. Programs will be considered matured applications when their performance is under acceptable limits. Traditional parallel programming forces the programmer to understand the enormous amount of performance information obtained from the execution of a program. In this paper, we propose an automatic analysis tool that lets the programmers of applications avoid this difficult task. This automatic performance analysis tool main objective is to find poor designed structures in the application. It considers the trace file obtained from the execution of the application in order to locate the most important behaviour problems of the application. Then, the tool relates them with the corresponding application code and scans the code looking for any design decision which could be changed to improve the behaviour.
This work has been supported by the CICYT under contract TIC 95-0868.
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Espinosa, A., Margalef, T., Luque, E. (1999). Automatic Detection of Parallel Program Performance Problems. In: Hernández, V., Palma, J.M.L.M., Dongarra, J.J. (eds) Vector and Parallel Processing – VECPAR’98. VECPAR 1998. Lecture Notes in Computer Science, vol 1573. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10703040_28
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DOI: https://doi.org/10.1007/10703040_28
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