APA (7th ed.) Citation

Szustak, L., Lawenda, M., Arming, S., Bankhamer, G., Schweimer, C., & Elsässer, R. (2023). Profiling and optimization of Python-based social sciences applications on HPC systems by means of task and data parallelism. Future generation computer systems, 148, 623-635. https://doi.org/10.1016/j.future.2023.07.005

Chicago Style (17th ed.) Citation

Szustak, Lukasz, Marcin Lawenda, Sebastian Arming, Gregor Bankhamer, Christoph Schweimer, and Robert Elsässer. "Profiling and Optimization of Python-based Social Sciences Applications on HPC Systems by Means of Task and Data Parallelism." Future Generation Computer Systems 148 (2023): 623-635. https://doi.org/10.1016/j.future.2023.07.005.

MLA (9th ed.) Citation

Szustak, Lukasz, et al. "Profiling and Optimization of Python-based Social Sciences Applications on HPC Systems by Means of Task and Data Parallelism." Future Generation Computer Systems, vol. 148, 2023, pp. 623-635, https://doi.org/10.1016/j.future.2023.07.005.