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This data repository contains the raw measurement for the scientific computing-article of speeding up lagrangian fluid-flow simulations in Python (within the parcels-framework), called: Kehl, C., van Sebille, E. and Gibson, A. "Speeding up Python-based Lagrangian Fluid-Flow Particle Simulations via Dynamic Collection Data Structures", 2021, to be submitted to SIAM Journal of Scientific Computing The repository is structured as follows: - code_links/ - folder containing a collection of text files with links to GitHub (where the code is stored), and meta-information on version etc. - measurements/ - contains the OpenOffice / LibreCalc table with the performance measurements of the different data structures in relation to the number of particles (raw data) - plots/ - original-resolution plots of the *measurements*, as they are found in the publication |
