Farheen, H., Leuteritz, T., Linden, S., Myroshnychenko, V., &; Förstner, J. (2021). Optimization of optical waveguide antennas for directive emission of  light. In arXiv:2106.02468.
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arXiv: 2106.02468

Rose, H., Tikhonova, O. V., Meier, T., &; Sharapova, P. (2021). Steady states of $9b$-type three-level systems excited by quantum  light in lossy cavities. In arXiv:2109.00842.
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Kaczmarek, O., Mazur, L., &; Sharma, S. (2021). Eigenvalue spectra of QCD and the fate of &;mml:math xmlns:mml="http://www..org/1998/Math/MathML" display="inline"&;&;mml:msub&;&;mml:mi&;U&;/mml:mi&;&;mml:mi&;A&;/mml:mi&;&;/mml:msub&;&;mml:mo stretchy="false"&;(&;/mml:mo&;&;mml:mn&;1&;/mml:mn&;&;mml:mo stretchy="false"&;)&;/mml:mo&;&;/mml:math&; breaking towards the chiral limit. Physical Review D, 104(9), Article 094518.https://doi.org/10.1103/physrevd.104.094518 
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Altenkort, L., Eller, A. M., Kaczmarek, O., Mazur, L., Moore, G. D., &; Shu, H.-T. (2021). Heavy quark momentum diffusion from the lattice using gradient flow. Physical Review D, 103(1), Article 014511.https://doi.org/10.1103/physrevd.103.014511 
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Altenkort, L., Eller, A. M., Kaczmarek, O., Mazur, L., Moore, G. D., &; Shu, H.-T. (2021). Sphaleron rate from Euclidean lattice correlators: An exploration. Physical Review D, 103(11), Article 114513.https://doi.org/10.1103/physrevd.103.114513 
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Karp, M., Podobas, A., Jansson, N., Kenter, T., Plessl, C., Schlatter, P., &; Markidis, S. (2021). High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection. 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS).https://doi.org/10.1109/ipdps49936.2021.00116 
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Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., Kenter, T., Pfreundt, F.-J., Plessl, C., Schotte, M., Steinke, T., Teich, J., Weiser, M., &; Wende, F. (2021). HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids. In Euro-Par 2020: Parallel Processing Workshops.https://doi.org/10.1007/978-3-030-71593-9_15 
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Ramaswami, A., Kenter, T., Kühne, T., &; Plessl, C. (2021). Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing. In Applied Reconfigurable Computing. Architectures, Tools, and Applications. Int. Conf. on Applied Reconfigurable Computing. Architectures, Tools, and Applications. Springer International Publishing.https://doi.org/10.1007/978-3-030-79025-7_21 
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Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., Kenter, T., Pfreundt, F., Plessl, C., Schotte, M., Steinke, T., Teich, J., Weiser, M., &; Wende, F. (2021). The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurrency and Computation: Practice and Experience, e6616.https://doi.org/10.1002/cpe.6616 
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Chatwell, R. S., Guevara-Carrion, G., Gaponenko, Y., Shevtsova, V., &; Vrabec, J. (2021). Diffusion of the carbon dioxide–ethanol mixture in the extended critical region. Physical Chemistry Chemical Physics, 23(4), 3106–3115.https://doi.org/10.1039/d0cp04985a 
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Karp, M., Podobas, A., Jansson, N., Kenter, T., Plessl, C., Schlatter, P., &; Markidis, S. (2021). High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection. 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS).https://doi.org/10.1109/ipdps49936.2021.00116 
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Kenter, T., Shambhu, A., Faghih-Naini, S., &; Aizinger, V. (2021). Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA. Proceedings of the Platform for Advanced Scientific Computing Conference (PASC).https://doi.org/10.1145/3468267.3470617 
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Nickchen, T., Engels, G., &; Lohn, J. (2020). Opportunities of 3D Machine Learning for Manufacturability Analysis and Component Recognition in the Additive Manufacturing Process Chain. In Industrializing Additive Manufacturing. Cham.https://doi.org/10.1007/978-3-030-54334-1_4 
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Mirhosseini, H., Kormath Madam Raghupathy, R., Sahoo, S. K., Wiebeler, H., Chugh, M., &; Kühne, T. D. (2020). In silico investigation of Cu(In,Ga)Se<sub>2</sub>-based solar cells. Physical Chemistry Chemical Physics, 22(46), 26682–26701.https://doi.org/10.1039/d0cp04712k 
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Bengs, V., &; Hüllermeier, E. (2020). Multi-Armed Bandits with Censored Consumption of Resources. In arXiv:2011.00813.
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arXiv: 2011.00813

Kühne, T., Iannuzzi, M., Ben, M. D., Rybkin, V. V., Seewald, P., Stein, F., Laino, T., Khaliullin, R. Z., Schütt, O., Schiffmann, F., Golze, D., Wilhelm, J., Chulkov, S., Mohammad Hossein Bani-Hashemian, M. H. B.-H., Weber, V., Borstnik, U., Taillefumier, M., Jakobovits, A. S., Lazzaro, A.,https://doi.org/10.1063/5.0007045__Hutter, J. (2020). CK: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics, 152(19), Article 194103.https://doi.org/10.1063/5.0007045 
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arXiv: 2003.03868

Lass, M., Schade, R., Kühne, T., &; Plessl, C. (2020). A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK. Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 1127–1140.https://doi.org/10.1109/SC41405.2020.00084 
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arXiv: 2004.10811

Meyer, M., Kenter, T., &; Plessl, C. (2020). Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite. 2020 IEEE/ACM International Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC).https://doi.org/10.1109/h2rc51942.2020.00007 
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Rengaraj, V., Lass, M., Plessl, C., &; Kühne, T. (2020). Accurate Sampling with Noisy Forces from Approximate Computing. Computation, 8(2), Article 39.https://doi.org/10.3390/computation8020039 
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arXiv: 1907.08497

Riebler, H., Vaz, G. F., Kenter, T., &; Plessl, C. (2019). Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL. ACM Trans. Archit. Code Optim. (TACO), 16(2), 14:1–14:26.https://doi.org/10.1145/3319423 
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Gorlani, P., Kenter, T., &; Plessl, C. (2019). OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs. In Proceedings of the International Conference on Field-Programmable Technology (FPT). IEEE.https://doi.org/10.1109/ICFPT47387.2019.00020 
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Riebler, H. (2019). Efficient parallel branch-and-bound search on FPGAs using work stealing and instance-specific designs.https://doi.org/10.17619/UNIPB/1-830 
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Richters, D., Lass, M., Walther, A., Plessl, C., &; Kühne, T. (2019). A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics, 25(2), 564–585.https://doi.org/10.4208/cicp.OA-2018-0053 
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DOI: 10.4208/cicp.OA-2018-0053
arXiv: 1703.02456

Platzner, M., &; Plessl, C. (2019). FPGAs im Rechenzentrum. Informatik Spektrum.https://doi.org/10.1007/s00287-019-01187-w 
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Lass, M., Kühne, T., &; Plessl, C. (2018). Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters, 10(2), 33–36.https://doi.org/10.1109/LES.2017.2760923 
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arXiv: 1703.02283

Keller, A. (2018). A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems. In D. Klusádek, W. Cirne, &; N. Desai (Eds.), Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP) (Vol. 10773, pp. 132–151). Orlando, FL, USA: Springer.https://doi.org/10.1007/978-3-319-77398-8_8 
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Mertens, J. C., Boschmann, A., Schmidt, M., &; Plessl, C. (2018). Sprint diagnostic with GPS and inertial sensor fusion. Sports Engineering, 21(4), 441–451.https://doi.org/10.1007/s12283-018-0291-0 
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Luk, S. M. H., Lewandowski, P., Kwong, N. H., Baudin, E., Lafont, O., Tignon, J., Leung, P. T., Chan, Ch. K. P., Babilon, M., Schumacher, S., &; Binder, R. (2018). Theory of optically controlled anisotropic polariton transport in semiconductor double microcavities. Journal of the Optical Society of America B, 35(1), Article 146.https://doi.org/10.1364/josab.35.000146 
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Kenter, T., Mahale, G., Alhaddad, S., Grynko, Y., Schmitt, C., Afzal, A., Hannig, F., Förstner, J., &; Plessl, C. (2018). OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes. Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM). Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM).https://doi.org/10.1109/FCCM.2018.00037 
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Lass, M., Mohr, S., Wiebeler, H., Kühne, T., &; Plessl, C. (2018). A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices. Proc. Platform for Advanced Scientific Computing (PASC) Conference. Platform for Advanced Scientific Computing Conference (PASC), Basel, Switzerland.https://doi.org/10.1145/3218176.3218231 
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arXiv: 1710.10899

Riebler, H., Vaz, G. F., Kenter, T., &; Plessl, C. (2018). Automated Code Acceleration Targeting Heterogeneous OpenCL Devices. Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP).https://doi.org/10.1145/3178487.3178534 
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Riebler, H., Lass, M., Mittendorf, R., Löcke, T., &; Plessl, C. (2017). Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 10(3), 24:1-24:23.https://doi.org/10.1145/3053687 
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Kenter, T., Förstner, J., &; Plessl, C. (2017). Flexible FPGA design for FDTD using OpenCL. Proc. Int. Conf. on Field Programmable Logic and Applications (FPL).https://doi.org/10.23919/FPL.2017.8056844 
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Schumacher, J., Plessl, C., &; Vandelli, W. (2017). High-Throughput and Low-Latency Network Communication with NetIO. Journal of Physics: Conference Series, 898, Article 082003.https://doi.org/10.1088/1742-6596/898/8/082003 
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Steinle, T. (2016). Modeling and simulation of metallic, particle-damped spheres for lightweight materials.
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Dellnitz, M., Eckstein, J., Flaßkamp, K., Friedel, P., Horenkamp, C., Köhler, U.,https://doi.org/10.1007/978-3-319-23413-7_87__Tiemeyer, S. (2016). Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control. In Progress in Industrial Mathematics at ECMI (Vol. 22, pp. 633–641). Cham: Springer International Publishing.https://doi.org/10.1007/978-3-319-23413-7_87 
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Lass, M., Leibenger, D., &; Sorge, C. (2016). Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. In Proc. 41st Conference on Local Computer Networks (LCN). IEEE.https://doi.org/10.1109/lcn.2016.11 
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Kenter, T. (2016). Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn.
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Agne, A., Platzner, M., Plessl, C., Happe, M., &; Lübbers, E. (2016). ReconOS. In D. Koch, F. Hannig, &; D. Ziener (Eds.), FPGAs for Software Programmers (pp. 227–244). Springer International Publishing.https://doi.org/10.1007/978-3-319-26408-0_13 
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Riebler, H., Vaz, G. F., Plessl, C., Trainiti, E. M. G., Durelli, G. C., &; Bolchini, C. (2016). Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. Proc. HiPEAC Workshop on Reonfigurable Computing (WRC).
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Kenter, T., &; Plessl, C. (2016). Microdisk Cavity FDTD Simulation on FPGA using OpenCL. Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC).
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Lass, M., Kühne, T., &; Plessl, C. (2016). Using Approximate Computing in Scientific Codes. Workshop on Approximate Computing (AC).
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Riebler, H., Vaz, G. F., Plessl, C., Trainiti, E. M. G., Durelli, G. C., Del Sozzo, E., Santambrogio, M. D., &; Bolchini, C. (2016). Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. Proceedings of International Forum on Research and Technologies for Society and Industry (RTSI), 1–5.https://doi.org/10.1109/RTSI.2016.7740545 
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Agne, A., Happe, M., Lösch, A., Plessl, C., &; Platzner, M. (2016). Self-aware Compute Nodes. In Self-aware Computing Systems (pp. 145–165). Springer International Publishing.https://doi.org/10.1007/978-3-319-39675-0_8 
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Vaz, G. F., Riebler, H., Kenter, T., &; Plessl, C. (2016). Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code. Computers and Electrical Engineering, 55, 91–111.https://doi.org/10.1016/j.compeleceng.2016.04.021 
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Lösch, A., Beisel, T., Kenter, T., Plessl, C., &; Platzner, M. (2016). Performance-centric scheduling with task migration for a heterogeneous compute node in the data center. Proceedings of the 2016 Design, Automation &; Test in Europe Conference &; Exhibition (DATE), 912–917.
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Kenter, T., Vaz, G. F., Riebler, H., &; Plessl, C. (2016). Opportunities for deferring application partitioning and accelerator synthesis to runtime (extended abstract). Workshop on Reconfigurable Computing (WRC).
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Hegler, S., Statz, C., Mütze, M., Mooshofer, H., Goldammer, M., Fendt, K.,https://doi.org/doi:10.1515/teme-2015-0031__Plettemeier, D. (2015). Simulative Ultraschall-Untersuchung von Pitch-Catch-Messanordnungen für große zylindrische Stahl-Prüflinge und gradientenbasierte Bildgebung. Tm - Technisches Messen, 82(9), 440–450.https://doi.org/doi:10.1515/teme-2015-0031 
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Torresen, J., Plessl, C., &; Yao, X. (2015). Self-Aware and Self-Expressive Systems – Guest Editor’s Introduction. IEEE Computer, 48(7), 18–20.https://doi.org/10.1109/MC.2015.205 
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Peitz, S., &; Dellnitz, M. (2015). Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction. PAMM, 15(1), 613–614.https://doi.org/10.1002/pamm.201510296 
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