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5928 Publications
2021 | Mastersthesis | LibreCat-ID: 45237
N. N., Model-based Continuous Experimentation for Software Product Prototypes. 2021.
LibreCat
2021 | Mastersthesis | LibreCat-ID: 45239
N. N., Lightweight Process Engine for Situation-specific Development of Business Models for Digital Platforms. 2021.
LibreCat
2021 | Bachelorsthesis | LibreCat-ID: 45240
N. N., Development and Evaluation of a Multi Platform Approach for Augmented Reality Product Configuration. 2021.
LibreCat
2021 | Mastersthesis | LibreCat-ID: 45238
N. N., Model-based Feature Backlog Synchronization for Dual-Track Development Methods. 2021.
LibreCat
2021 | Mastersthesis | LibreCat-ID: 45254
A. Anonymous, Device-Independent Security Proofs Via Entropy Accumulation. 2021.
LibreCat
2021 | Conference Paper | LibreCat-ID: 26406
P. Schubert, B. Hermann, E. Bodden, and R. Leer, “Into the Woods: Experiences from Building a Dataflow Analysis Framework for C/C++,” 2021.
LibreCat
2021 | Conference Paper | LibreCat-ID: 26405
P. Schubert, F. Sattler, F. Schiebel, B. Hermann, and E. Bodden, “Modeling the Effects of Global Variables in Data-Flow Analysis for C/C++,” 2021.
LibreCat
2021 | Mastersthesis | LibreCat-ID: 45788
J. Bülling, Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump. 2021.
LibreCat
2021 | Mastersthesis | LibreCat-ID: 45787
A. Mishra, Computational Text Professionalization using Neural Sequence-to-Sequence Models. 2021.
LibreCat
2021 | Conference Paper | LibreCat-ID: 30909
L. Clausing, “ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip,” 2021, doi: 10.1145/3468044.3468056.
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| DOI
2021 | Conference Paper | LibreCat-ID: 46195
M. Karp et al., “High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection,” 2021, doi: 10.1109/ipdps49936.2021.00116.
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| DOI
2021 | Conference Paper | LibreCat-ID: 30908
H. Ghasemzadeh Mohammadi et al., “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics,” 2021, doi: https://doi.org/10.1007/978-3-030-93736-2_27.
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| DOI
2021 | Book Chapter | LibreCat-ID: 21587
S. Alhaddad et al., “HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids,” in Euro-Par 2020: Parallel Processing Workshops, Cham, 2021.
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| Files available
| DOI
2021 | Book Chapter | LibreCat-ID: 29936
A. Ramaswami, T. Kenter, T. Kühne, and C. Plessl, “Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing,” in Applied Reconfigurable Computing. Architectures, Tools, and Applications, Cham: Springer International Publishing, 2021.
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| DOI
2021 | Journal Article | LibreCat-ID: 24788 | 
S. Alhaddad et al., “The HighPerMeshes framework for numerical algorithms on unstructured grids,” Concurrency and Computation: Practice and Experience, p. e6616, 2021, doi: 10.1002/cpe.6616.
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| Files available
| DOI
2021 | Conference Paper | LibreCat-ID: 29706
L. Höper and C. Schulte, “Datenbewusstsein im Kontext digitaler Kompetenzen für einen selbstbestimmten Umgang mit datengetriebenen digitalen Artefakten,” in 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September - 1. Oktober, 2021, Bonn, 2021, pp. 1623–1632, doi: 10.18420/informatik2021-136.
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2021 | Conference Paper | LibreCat-ID: 27491
L. Höper, “Developing and Evaluating the Concept Data Awareness for K12 Computing Education,” 2021, doi: 10.1145/3488042.3490509.
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2021 | Conference Paper | LibreCat-ID: 25520
L. Höper et al., “Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz,” in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. P-313, p. 345, doi: 10.18420/infos2021\_a230.
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2021 | Conference Paper | LibreCat-ID: 25523
S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, and C. Schulte, “Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein,” in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. {P-313, p. 327, doi: 10.18420/infos2021\_w278.
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2021 | Conference Paper | LibreCat-ID: 27493
S. Podworny et al., “Using data cards for teaching data based decision trees in middle school,” in Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, 2021, p. 39:1-39:3, doi: 10.1145/3488042.3489966.
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