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H. Farheen, T. Leuteritz, S. Linden, V. Myroshnychenko, and J. Förstner, “Optimization of optical waveguide antennas for directive emission of  light,” arXiv:2106.02468. 2021.
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H. Rose, O. V. Tikhonova, T. Meier, and P. Sharapova, “Steady states of $9b$-type three-level systems excited by quantum  light in lossy cavities,” arXiv:2109.00842. 2021.
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M. Karp et al., “High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection,”10.1109/ipdps49936.2021.00116__2021, doi:10.1109/ipdps49936.2021.00116 .
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T. Kenter, A. Shambhu, S. Faghih-Naini, and V. Aizinger, “Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA,”10.1145/3468267.3470617__2021, doi:10.1145/3468267.3470617 .
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M. Lass, R. Schade, T. Kühne, and C. Plessl, “A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK,”10.1109/SC41405.2020.00084__in Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), Atlanta, GA, US, 2020, pp. 1127–1140, doi:10.1109/SC41405.2020.00084 .
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M. Meyer, T. Kenter, and C. Plessl, “Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite,”10.1109/h2rc51942.2020.00007__2020, doi:10.1109/h2rc51942.2020.00007 .
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P. Gorlani, T. Kenter, and C. Plessl, “OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs,” in Proceedings of the International Conference on Field-Programmable Technology (FPT), 2019.
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A. Keller, “A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems,” in Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), Orlando, FL, USA, 2018, vol. 10773, pp. 132–151.
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T. Kenter et al., “OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes,”10.1109/FCCM.2018.00037__presented at the Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), 2018, doi:10.1109/FCCM.2018.00037 .
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M. Lass, S. Mohr, H. Wiebeler, T. Kühne, and C. Plessl, “A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices,”10.1145/3218176.3218231__presented at the Platform for Advanced Scientific Computing Conference (PASC), Basel, Switzerland, 2018, doi:10.1145/3218176.3218231 .
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H. Riebler, G. F. Vaz, T. Kenter, and C. Plessl, “Automated Code Acceleration Targeting Heterogeneous OpenCL Devices,”10.1145/3178487.3178534__2018, doi:10.1145/3178487.3178534 .
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T. Kenter, J. Förstner, and C. Plessl, “Flexible FPGA design for FDTD using OpenCL,”10.23919/FPL.2017.8056844__2017, doi:10.23919/FPL.2017.8056844 .
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M. Dellnitz et al., “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control,” in Progress in Industrial Mathematics at ECMI, 2016, vol. 22, pp. 633–641.
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M. Lass, D. Leibenger, and C. Sorge, “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension,” in Proc. 41st Conference on Local Computer Networks (LCN), 2016.
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H. Riebler, G. F. Vaz, C. Plessl, E. M. G. Trainiti, G. C. Durelli, and C. Bolchini, “Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems,” 2016.
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T. Kenter and C. Plessl, “Microdisk Cavity FDTD Simulation on FPGA using OpenCL,” 2016.
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M. Lass, T. Kühne, and C. Plessl, “Using Approximate Computing in Scientific Codes,” 2016.
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