Abstract
We present our approach for automating the performance analysis of parallel applications based on the idea of ASL performance properties. Our tool Periscope automatically searches for inefficiencies specified as ASL properties, leveraging a set of agents distributed over the target machine and arranged in a tree-like hierarchy. Decomposing the analysis using a set of agents allows the analysis process to be performed in a scalable way. If the machine or target application scales in number of nodes or processors used, Periscope similarly scales in number of agents employed. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Fürlinger, K., & Gerndt, M. (2007). Automated performance analysis using ASL performance properties. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4699 LNCS, pp. 390–397). Springer Verlag. https://doi.org/10.1007/978-3-540-75755-9_48
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