M. Meyer, T. Kenter, and C. Plessl, “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks,”10.1145/3576200__ACM Transactions on Reconfigurable Technology and Systems, 2023, doi:10.1145/3576200 .

X. Wu, T. Kenter, R. Schade, T. Kühne, and C. Plessl, “Computing and Compressing Electron Repulsion Integrals on FPGAs,”10.1109/FCCM57271.2023.00026__in 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023, pp. 162–173, doi:10.1109/FCCM57271.2023.00026 .

R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, and C. Plessl, “Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics,”10.1177/10943420231177631__The International Journal of High Performance Computing Applications, Art. no. 109434202311776, 2023, doi:10.1177/10943420231177631 .

C. Alt et al., “Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline,” in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2023.

J. Faj, T. Kenter, S. Faghih-Naini, C. Plessl, and V. Aizinger, “Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes,”10.1145/3592979.3593407__2023, doi:10.1145/3592979.3593407 .

C. Prouveur, M. Haefele, T. Kenter, and N. Voss, “FPGA Acceleration for HPC Supercapacitor Simulations,”10.1145/3592979.3593419__2023, doi:10.1145/3592979.3593419 .

J.-O. Opdenhövel, C. Plessl, and T. Kenter, “Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation,”10.1145/3597031.3597050__2023, doi:10.1145/3597031.3597050 .

M. Karp et al., “A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges,”10.1145/3492805.3492808__2022, doi:10.1145/3492805.3492808 .

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 .