@inproceedings{51f1947b28ce43f5bcde8c1654772688,
title = "Performance analysis of shared-memory parallel applications using performance properties",
abstract = "Tuning parallel code can be a time-consuming and difficult task. We present our approach to automate the performance analysis of OpenMP applications that is based on the notion of performance properties. Properties are formally specified in the APART specification language (ASL) with respect to a specific data model. We describe a data model for summary (profiling) data of OpenMP applications and present performance properties based on this data model. We evaluate the usability of the properties on several example codes using our OpenMP profiler ompP to acquire the profiling data.",
author = "Karl F{\"u}rlinger and Michael Gerndt",
year = "2005",
doi = "10.1007/11557654_70",
language = "English",
isbn = "3540290311",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "595--604",
booktitle = "High Performance Computing and Communcations - First International Conference, HPCC 2005, Proceedings",
note = "1st International Conference on High Performance Computing and Communcations, HPCC 2005 ; Conference date: 21-09-2005 Through 23-09-2005",
}