R. Schade, C. Bauer, K. Tamoev, L. Mazur, C. Plessl, and T. Kühne, “Parallel quantum chemistry on noisy intermediate-scale quantum computers,”10.1103/PhysRevResearch.4.033160__Phys. Rev. Research, vol. 4, p. 033160, 2022, doi:10.1103/PhysRevResearch.4.033160 .

R. Schade et al., “Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms,”10.1016/j.parco.2022.102920__Parallel Computing, vol. 111, Art. no. 102920, 2022, doi:10.1016/j.parco.2022.102920 .

M. Meyer, T. Kenter, and C. Plessl, “In-depth FPGA Accelerator Performance Evaluation with Single Node Benchmarks from the HPC Challenge Benchmark Suite for Intel and Xilinx FPGAs using OpenCL,”10.1016/j.jpdc.2021.10.007__Journal of Parallel and Distributed Computing, 2022, doi:10.1016/j.jpdc.2021.10.007 .

J. Menzel, C. Plessl, and T. Kenter, “The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations,”10.1145/3491235__ACM Transactions on Reconfigurable Technology and Systems, vol. 15, no. 1, pp. 1–30, 2021, doi:10.1145/3491235 .

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 .

S. Alhaddad et al., “HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids,” in Euro-Par 2020: Parallel Processing Workshops, Cham, 2021.

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.

S. Alhaddad et al., “The HighPerMeshes framework for numerical algorithms on unstructured grids,”10.1002/cpe.6616__Concurrency and Computation: Practice and Experience, p. e6616, 2021, doi:10.1002/cpe.6616 .

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 .

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 .

T. Kühne et al., “CK: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations,”10.1063/5.0007045__The Journal of Chemical Physics, vol. 152, no. 19, Art. no. 194103, 2020, doi:10.1063/5.0007045 .

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 .

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 .

V. Rengaraj, M. Lass, C. Plessl, and T. Kühne, “Accurate Sampling with Noisy Forces from Approximate Computing,”10.3390/computation8020039__Computation, vol. 8, no. 2, Art. no. 39, 2020, doi:10.3390/computation8020039 .

H. Riebler, G. F. Vaz, T. Kenter, and C. Plessl, “Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL,” ACM Trans. Archit. Code Optim. (TACO), vol. 16, no. 2, pp. 14:1–14:26, 2019.

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.

D. Richters, M. Lass, A. Walther, C. Plessl, and T. Kühne, “A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices,”10.4208/cicp.OA-2018-0053__Communications in Computational Physics, vol. 25, no. 2, pp. 564–585, 2019, doi:10.4208/cicp.OA-2018-0053 .

M. Platzner and C. Plessl, “FPGAs im Rechenzentrum,”10.1007/s00287-019-01187-w__Informatik Spektrum, 2019, doi:10.1007/s00287-019-01187-w .

J. C. Mertens, A. Boschmann, M. Schmidt, and C. Plessl, “Sprint diagnostic with GPS and inertial sensor fusion,” Sports Engineering, vol. 21, no. 4, pp. 441–451, 2018.

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 .