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Karp, M., Podobas, A., Kenter, T., Jansson, N., Plessl, C., Schlatter, P., &; Markidis, S. (2022). A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges. International Conference on High Performance Computing in Asia-Pacific Region.https://doi.org/10.1145/3492805.3492808 
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Schade, R., Bauer, C., Tamoev, K., Mazur, L., Plessl, C., &; Kühne, T. (2022). Parallel quantum chemistry on noisy intermediate-scale quantum computers. Phys. Rev. Research, 4, 033160.https://doi.org/10.1103/PhysRevResearch.4.033160 
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Schade, R., Kenter, T., Elgabarty, H., Lass, M., Schütt, O., Lazzaro, A., Pabst, H., Mohr, S., Hutter, J., Kühne, T., &; Plessl, C. (2022). Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing, 111, Article 102920.https://doi.org/10.1016/j.parco.2022.102920 
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Meyer, M., Kenter, T., &; Plessl, C. (2022). In-depth FPGA Accelerator Performance Evaluation with Single Node Benchmarks from the HPC Challenge Benchmark Suite for Intel and Xilinx FPGAs using OpenCL. Journal of Parallel and Distributed Computing.https://doi.org/10.1016/j.jpdc.2021.10.007 
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Menzel, J., Plessl, C., &; Kenter, T. (2021). The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations. ACM Transactions on Reconfigurable Technology and Systems, 15(1), 1–30.https://doi.org/10.1145/3491235 
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