Abstract
This paper presents a Design Science Research (DSR) approach to addressing visualization bottlenecks in environmental Information Systems Development (ISD). By developing a CUDA-based atmospheric effects framework utilizing the Material Point Method (MPM) and Marching Cubes algorithms, we demonstrate how GPU acceleration transforms ISD methodologies for data-intensive decision support systems (DSS). This research contributes to digital transformation of environmental monitoring platforms by enabling real-time processing of complex simulation data that traditionally require significant computational resources. The prototype demonstrates scalable performance handling up to 6.5 million particles while enabling configuration-driven customization that allows information systems developers to integrate sophisticated environmental visualization without specialized graphics expertise. This approach democratizes atmospheric data visualization for environmental monitoring systems. Empirical results demonstrate real-time visualization capabilities suitable for operational deployment.
Paper Type
Poster
DOI
10.62036/ISD.2025.142
Procedural Creation of Atmospheric Effects for Information Systems using CUDA
This paper presents a Design Science Research (DSR) approach to addressing visualization bottlenecks in environmental Information Systems Development (ISD). By developing a CUDA-based atmospheric effects framework utilizing the Material Point Method (MPM) and Marching Cubes algorithms, we demonstrate how GPU acceleration transforms ISD methodologies for data-intensive decision support systems (DSS). This research contributes to digital transformation of environmental monitoring platforms by enabling real-time processing of complex simulation data that traditionally require significant computational resources. The prototype demonstrates scalable performance handling up to 6.5 million particles while enabling configuration-driven customization that allows information systems developers to integrate sophisticated environmental visualization without specialized graphics expertise. This approach democratizes atmospheric data visualization for environmental monitoring systems. Empirical results demonstrate real-time visualization capabilities suitable for operational deployment.
Recommended Citation
Sawaryn, W., Koprowski, A., Szumała, P., Tłuścik, K., Ul, G. & Mróz, B. (2025). Procedural Creation of Atmospheric Effects for Information Systems using CUDAIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.142