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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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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arXiv: 2109.00842

Schade, R., Kenter, T., Elgabarty, H., Lass, M., Schütt, O., Lazzaro, A., Pabst, H., Mohr, S., Hutter, J., Kühne, T. D., &; Plessl, C. (2021). Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms. In arXiv:2104.08245.
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arXiv: 2104.08245

Meyer, M. (2021). Towards Performance Characterization of FPGAs in Context of HPC using OpenCL Benchmarks. Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies.https://doi.org/10.1145/3468044.3468058 
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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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Bengs, V., &; Hüllermeier, E. (2020). Multi-Armed Bandits with Censored Consumption of Resources. In arXiv:2011.00813.
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arXiv: 2011.00813

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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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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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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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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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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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., &; Plessl, C. (2016). Microdisk Cavity FDTD Simulation on FPGA using OpenCL. Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC).
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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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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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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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Lass, M., Kühne, T., &; Plessl, C. (2016). Using Approximate Computing in Scientific Codes. Workshop on Approximate Computing (AC).
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