@inproceedings{39fc113edc134ab8be3bd3de03c7fbc5,
title = "Measuring and Interpreting Dependent Task-Based Applications Performances",
abstract = "Breaking down the parallel time into work, idleness, and overheads is crucial for assessing the performance of HPC applications, but difficult to measure in asynchronous dependent tasking runtime systems. No existing tools allow its measurement portably and accurately. This paper introduces POT: a tool-suite for dependent task-based applications performance measurement. We focus on its low-disturbance methodology consisting of task modeling, discrete-event tracing, and post-mortem simulation-based analysis. It supports the OMPT standard OpenMP specifications.",
keywords = "OpenMP, Performances, Tasks, Time Breakdown",
author = "Romain Pereira and Thierry Gautier and Adrien Roussel and Patrick Carribault",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024 ; Conference date: 08-09-2024 Through 11-09-2024",
year = "2025",
month = jan,
day = "1",
doi = "10.1007/978-3-031-85697-6\_15",
language = "English",
isbn = "9783031856969",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "227--241",
editor = "Roman Wyrzykowski and Jack Dongarra and Ewa Deelman and Konrad Karczewski",
booktitle = "Parallel Processing and Applied Mathematics - 15th International Conference, PPAM 2024, Revised Selected Papers",
}