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PPAM22 Building Analytical Performance Models-for-Complex-Applications

This repositry contains the data, figures, and scripts used for our paper "Building Fine-Grained Analytical Performance Models for Complex Applications"

van Dijk, J.; Zavodszky, G.; Varbanescu, A.-L.; Pimentel, A. D.; Hoekstra, A. Building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations. In Parallel Processing and Applied Mathematics; Wyrzykowski, R., Dongarra, J., Deelman, E., Karczewski, K., Eds.; Lecture Notes in Computer Science; Springer International Publishing: Cham, 2023; pp 183–196. https://doi.org/10.1007/978-3-031-30442-2_14.

This work focuses on creating an analytical performance model for Hemocell.

Structure

  • experiment-template: Template for running experiments
  • figs: Containes all figures.
    • figs/ Figures generated by scripts in repo
    • figs/external Figures from external sources
  • scripts: Contains the scripts used to parse the data, and create the figures
  • results: Contains the raw data for all experiments.
    • *.csv datafiles that store extracted from the *.cubex files
    • *.cubex: output files from SCORE-P, contains timings per function per process
    • RBC..xmf / Fluid.xml: Internal Hemocell output files, stores the simulation data. Can be read in using Paravieuw.
  • Tables.pdf: A PDF with the tables containing all the raw data for the generated plots.

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Data and scripts for the paper Building Fine-Grained Analytical Performance Models for Complex Applications

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