@misc{45237, author = {{N., N.}}, title = {{{Model-based Continuous Experimentation for Software Product Prototypes}}}, year = {{2021}}, } @misc{45239, author = {{N., N.}}, title = {{{Lightweight Process Engine for Situation-specific Development of Business Models for Digital Platforms}}}, year = {{2021}}, } @misc{45240, author = {{N., N.}}, title = {{{Development and Evaluation of a Multi Platform Approach for Augmented Reality Product Configuration}}}, year = {{2021}}, } @misc{45238, author = {{N., N.}}, title = {{{Model-based Feature Backlog Synchronization for Dual-Track Development Methods}}}, year = {{2021}}, } @misc{45254, author = {{Anonymous, Anonymous}}, title = {{{Device-Independent Security Proofs Via Entropy Accumulation}}}, year = {{2021}}, } @inproceedings{26406, author = {{Schubert, Philipp and Hermann, Ben and Bodden, Eric and Leer, Richard}}, booktitle = {{SCAM '21: IEEE International Working Conference on Source Code Analysis and Manipulation (Engineering Track)}}, title = {{{Into the Woods: Experiences from Building a Dataflow Analysis Framework for C/C++}}}, year = {{2021}}, } @misc{45788, author = {{Bülling, Jonas}}, title = {{{Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump}}}, year = {{2021}}, } @misc{45787, author = {{Mishra, Avishek}}, title = {{{Computational Text Professionalization using Neural Sequence-to-Sequence Models}}}, year = {{2021}}, } @inproceedings{30909, author = {{Clausing, Lennart}}, booktitle = {{Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies}}, publisher = {{ACM}}, title = {{{ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip}}}, doi = {{10.1145/3468044.3468056}}, year = {{2021}}, } @inproceedings{46195, author = {{Karp, Martin and Podobas, Artur and Jansson, Niclas and Kenter, Tobias and Plessl, Christian and Schlatter, Philipp and Markidis, Stefano}}, booktitle = {{2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)}}, publisher = {{IEEE}}, title = {{{High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection}}}, doi = {{10.1109/ipdps49936.2021.00116}}, year = {{2021}}, } @inproceedings{30908, author = {{Ghasemzadeh Mohammadi, Hassan and Jentzsch, Felix and Kuschel, Maurice and Arshad, Rahil and Rautmare, Sneha and Manjunatha, Suraj and Platzner, Marco and Boschmann, Alexander and Schollbach, Dirk }}, booktitle = {{ Machine Learning and Principles and Practice of Knowledge Discovery in Databases}}, publisher = {{Springer}}, title = {{{FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics}}}, doi = {{https://doi.org/10.1007/978-3-030-93736-2_27}}, year = {{2021}}, } @inbook{21587, abstract = {{Solving partial differential equations on unstructured grids is a cornerstone of engineering and scientific computing. Nowadays, heterogeneous parallel platforms with CPUs, GPUs, and FPGAs enable energy-efficient and computationally demanding simulations. We developed the HighPerMeshes C++-embedded Domain-Specific Language (DSL) for bridging the abstraction gap between the mathematical and algorithmic formulation of mesh-based algorithms for PDE problems on the one hand and an increasing number of heterogeneous platforms with their different parallel programming and runtime models on the other hand. Thus, the HighPerMeshes DSL aims at higher productivity in the code development process for multiple target platforms. We introduce the concepts as well as the basic structure of the HighPerMeshes DSL, and demonstrate its usage with three examples, a Poisson and monodomain problem, respectively, solved by the continuous finite element method, and the discontinuous Galerkin method for Maxwell’s equation. The mapping of the abstract algorithmic description onto parallel hardware, including distributed memory compute clusters, is presented. Finally, the achievable performance and scalability are demonstrated for a typical example problem on a multi-core CPU cluster.}}, author = {{Alhaddad, Samer and Förstner, Jens and Groth, Stefan and Grünewald, Daniel and Grynko, Yevgen and Hannig, Frank and Kenter, Tobias and Pfreundt, Franz-Josef and Plessl, Christian and Schotte, Merlind and Steinke, Thomas and Teich, Jürgen and Weiser, Martin and Wende, Florian}}, booktitle = {{Euro-Par 2020: Parallel Processing Workshops}}, isbn = {{9783030715922}}, issn = {{0302-9743}}, keywords = {{tet_topic_hpc}}, title = {{{HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids}}}, doi = {{10.1007/978-3-030-71593-9_15}}, year = {{2021}}, } @inbook{29936, author = {{Ramaswami, Arjun and Kenter, Tobias and Kühne, Thomas and Plessl, Christian}}, booktitle = {{Applied Reconfigurable Computing. Architectures, Tools, and Applications}}, isbn = {{9783030790240}}, issn = {{0302-9743}}, publisher = {{Springer International Publishing}}, title = {{{Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing}}}, doi = {{10.1007/978-3-030-79025-7_21}}, year = {{2021}}, } @article{24788, author = {{Alhaddad, Samer and Förstner, Jens and Groth, Stefan and Grünewald, Daniel and Grynko, Yevgen and Hannig, Frank and Kenter, Tobias and Pfreundt, Franz‐Josef and Plessl, Christian and Schotte, Merlind and Steinke, Thomas and Teich, Jürgen and Weiser, Martin and Wende, Florian}}, issn = {{1532-0626}}, journal = {{Concurrency and Computation: Practice and Experience}}, keywords = {{tet_topic_hpc}}, pages = {{e6616}}, title = {{{The HighPerMeshes framework for numerical algorithms on unstructured grids}}}, doi = {{10.1002/cpe.6616}}, year = {{2021}}, } @inproceedings{29706, author = {{Höper, Lukas and Schulte, Carsten}}, booktitle = {{51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September - 1. Oktober, 2021}}, isbn = {{978-3-88579-708-1}}, location = {{Bonn}}, pages = {{1623--1632}}, publisher = {{Gesellschaft für Informatik}}, title = {{{Datenbewusstsein im Kontext digitaler Kompetenzen für einen selbstbestimmten Umgang mit datengetriebenen digitalen Artefakten}}}, doi = {{10.18420/informatik2021-136}}, year = {{2021}}, } @inproceedings{27491, abstract = {{ Students often have a lack of understanding and awareness of where, how, and why personal data about them is collected and processed. Especially, when interacting with data-driven digital artifacts, an appropriate perception of the data collection and processing is necessary for self-determination. This dissertation deals with the development and evaluation of a concept called data awareness which aims to foster students’ self-determination interacting with data-driven digital artifacts.}}, author = {{Höper, Lukas}}, booktitle = {{21st Koli Calling International Conference on Computing Education Research}}, isbn = {{9781450384889}}, keywords = {{data awareness, machine learning, data science education, data-driven digital artifacts, artificial intelligence}}, publisher = {{Association for Computing Machinery}}, title = {{{Developing and Evaluating the Concept Data Awareness for K12 Computing Education}}}, doi = {{10.1145/3488042.3490509}}, year = {{2021}}, } @inproceedings{25520, author = {{Höper, Lukas and Podworny, Susanne and Hüsing, Sven and Schulte, Carsten and Fleischer, Yannik and Biehler, Rolf and Frischemeier, Daniel and Malatyali, Hülya}}, booktitle = {{19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021}}, editor = {{Humbert, Ludger}}, isbn = {{978-3-88579-707-4}}, pages = {{345}}, publisher = {{Gesellschaft für Informatik, Bonn}}, title = {{{Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz}}}, doi = {{10.18420/infos2021\_a230}}, volume = {{P-313}}, year = {{2021}}, } @inproceedings{25523, author = {{Podworny, Susanne and Höper, Lukas and Fleischer, Yannik and Hüsing, Sven and Schulte, Carsten}}, booktitle = {{19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021}}, editor = {{Humbert, Ludger}}, pages = {{327}}, publisher = {{Gesellschaft für Informatik, Bonn}}, title = {{{Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein}}}, doi = {{10.18420/infos2021\_w278}}, volume = {{{P-313}}, year = {{2021}}, } @inproceedings{27493, author = {{Podworny, Susanne and Fleischer, Yannik and Hüsing, Sven and Biehler, Rolf and Frischemeier, Daniel and Höper, Lukas and Schulte, Carsten}}, booktitle = {{Koli Calling '21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021}}, editor = {{Seppälä, Otto and Petersen, Andrew}}, pages = {{39:1--39:3}}, publisher = {{ACM}}, title = {{{Using data cards for teaching data based decision trees in middle school}}}, doi = {{10.1145/3488042.3489966}}, year = {{2021}}, } @inproceedings{25524, author = {{Höper, Lukas and Schulte, Carsten}}, booktitle = {{19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021}}, editor = {{Humbert, Ludger}}, pages = {{73--82}}, publisher = {{Gesellschaft für Informatik, Bonn}}, title = {{{Datenbewusstsein: Aufmerksamkeit für die eigenen Daten}}}, doi = {{10.18420/infos2021\_f235}}, volume = {{P-313}}, year = {{2021}}, }