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 behavior.
|Original language||American English|
|Number of pages||13|
|Journal||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Publication status||Published - 1999|