@inproceedings{murturi_PGG, title = "On Provisioning Procedural Geometry Workloads on Edge Architectures", author = "Ilir Murturi and Chao Jia and Bernhard Kerbl and Michael Wimmer and Schahram Dustdar and Christos Tsigkanos", year = "2021", abstract = "Contemporary applications such as those within Augmented or Virtual Reality (AR/VR) pose challenges for software architectures supporting them, which have to adhere to stringent latency, data transmission, and performance requirements. This manifests in processing 3D models, whose 3D contents are increasingly generated procedurally rather than explicitly, resulting in computational workloads (i.e., perceived as Procedural Geometry Workloads) with particular characteristics and resource requirements. Traditionally, executing such workloads takes place in resource-rich environments such as the cloud. However, the massive amount of data transfer, heterogeneous devices, and networks involved affect latency, which in turn causes low-quality visualization in user-facing applications (e.g., AR/VR). To overcome such challenges, processing elements available close to end users can be leveraged to generate 3D models instead, and as such the edge emerges as a central architectural entity. This paper describes such procedural geometry workloads, their particular characteristics, and challenges to execute them on heterogeneous devices. Furthermore, we propose an architecture capable of provisioning procedural geometry workloads in edge scenarios.", month = oct, isbn = "978-989-758-536-4", publisher = "SciTePress", organization = "INSTICC", event = "17th International Conference on Web Information Systems and Technologies - WEBIST", editor = " Francisco Dom\'{i}nguez Mayo, Massimo Marchiori and Joaquim Filipe", doi = "10.5220/0010687800003058", booktitle = "Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST", pages = "6", pages = "354--359", keywords = "distributed systems, procedural geometry, rendering", URL = "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/", } @inproceedings{roth_vdi, title = "View-Dependent Impostors for Architectural Shape Grammars", author = "Chao Jia and Moritz Roth and Bernhard Kerbl and Michael Wimmer", year = "2021", abstract = "Procedural generation has become a key component in satisfying a growing demand for ever-larger, highly detailed geometry in realistic, open-world games and simulations. In this paper, we present our work towards a new level-of-detail mechanism for procedural geometry shape grammars. Our approach automatically identifies and adds suitable surrogate rules to a shape grammar's derivation tree. Opportunities for surrogates are detected in a dedicated pre-processing stage. Where suitable, textured impostors are then used for rendering based on the current viewpoint at runtime. Our proposed methods generate simplified geometry with superior visual quality to the state-of-the-art and roughly the same rendering performance.", month = oct, isbn = "978-3-03868-162-5", publisher = "Eurographics Association", organization = "The Eurographics Association", location = "online", event = "Pacific Graphics 2021", editor = "Lee, Sung-Hee and Zollmann, Stefanie and Okabe, Makoto and W\"{u}nsche, Burkhard", doi = "10.2312/pg.20211390", booktitle = "Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers", pages = "2", pages = "63--64", keywords = "procedural geometry, real-time, GPU", URL = "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/", } @inproceedings{Arleo-2019-vis, title = "Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge", author = "Alessio Arleo and Christos Tsigkanos and Chao Jia and Roger Leite and Ilir Murturi and Manfred Klaffenb\"{o}ck and Schahram Dustdar and Silvia Miksch and Michael Wimmer and Johannes Sorger", year = "2019", abstract = "Investment planning requires knowledge of the financial landscape on a large scale, both in terms of geo-spatial and industry sector distribution. There is plenty of data available, but it is scattered across heterogeneous sources (newspapers, open data, etc.), which makes it difficult for financial analysts to understand the big picture. In this paper, we present Sabrina, a financial data analysis and visualization approach that incorporates a pipeline for the generation of firm-to-firm financial transaction networks. The pipeline is capable of fusing the ground truth on individual firms in a region with (incremental) domain knowledge on general macroscopic aspects of the economy. Sabrina unites these heterogeneous data sources within a uniform visual interface that enables the visual analysis process. In a user study with three domain experts, we illustrate the usefulness of Sabrina, which eases their analysis process.", month = oct, location = "Vancouver, British Columbia, Canada", event = " IEEE Visualization Conference (VIS)", booktitle = "IEEE VIS 2019", keywords = "Visualization, Visual Analytics", URL = "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/", }