@article{Szustak_2023, title={Profiling and optimization of Python-based social sciences applications on HPC systems by means of task and data parallelism}, volume={148}, ISSN={0167-739X}, url={http://dx.doi.org/10.1016/j.future.2023.07.005}, DOI={10.1016/j.future.2023.07.005}, journal={Future Generation Computer Systems}, publisher={Elsevier BV}, author={Szustak, Lukasz and Lawenda, Marcin and Arming, Sebastian and Bankhamer, Gregor and Schweimer, Christoph and Elsässer, Robert}, year={2023}, month=Nov, pages={623–635} }