Meyer, M., Kenter, T., Petrica, L., O’Brien, K., Blott, M., &; Plessl, C. (2024). Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL. In arXiv:2403.18374.

Lass, M., Kenter, T., Plessl, C., &; Brehm, M. (2024). Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations. Entropy, 26(4), Article 322.https://doi.org/10.3390/e26040322 

Schapeler, T., Schade, R., Lass, M., Plessl, C., &; Bartley, T. (2024). Scalable quantum detector tomography by high-performance computing. In arXiv:2404.02844.

Bauer, C., Kenter, T., Lass, M., Mazur, L., Meyer, M., Nitsche, H., Riebler, H., Schade, R., Schwarz, M., Winnwa, N., Wiens, A., Wu, X., Plessl, C., &; Simon, J. (2024). Noctua 2 Supercomputer. Journal of Large-Scale Research Facilities, 9.https://doi.org/10.17815/jlsrf-8-187  

Büttner, M., Alt, C., Kenter, T., Köstler, H., Plessl, C., &; Aizinger, V. (2024). Enabling Performance Portability for Shallow Water Equations on CPUs, GPUs, and FPGAs with SYCL. Proceedings of the Platform for Advanced Scientific Computing Conference (PASC).https://doi.org/10.1145/3659914.3659925 

Meyer, M., Kenter, T., &; Plessl, C. (2023). Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. ACM Transactions on Reconfigurable Technology and Systems.https://doi.org/10.1145/3576200 

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

Schade, R., Kenter, T., Elgabarty, H., Lass, M., Kühne, T., &; Plessl, C. (2023). Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications, Article 109434202311776.https://doi.org/10.1177/10943420231177631 

Alt, C., Kenter, T., Faghih-Naini, S., Faj, J., Opdenhövel, J.-O., Plessl, C., Aizinger, V., Hönig, J., &; Köstler, H. (2023). Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline. In Lecture Notes in Computer Science. Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-32041-5_5 

Van Hirtum, L., De Causmaecker, P., Goemaere, J., Kenter, T., Riebler, H., Lass, M., &; Plessl, C. (2023). A computation of D(9) using FPGA Supercomputing. In arXiv:2304.03039.

Faj, J., Kenter, T., Faghih-Naini, S., Plessl, C., &; Aizinger, V. (2023). Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes. Proceedings of the Platform for Advanced Scientific Computing Conference (PASC).https://doi.org/10.1145/3592979.3593407 

Hansmeier, T., Kenter, T., Meyer, M., Riebler, H., Platzner, M., &; Plessl, C. (2023). Compute Centers I: Heterogeneous Execution Environments. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &; H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 165–182). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068642 

Opdenhövel, J.-O., Plessl, C., &; Kenter, T. (2023). Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation. Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART).https://doi.org/10.1145/3597031.3597050 

Gavini, V., Baroni, S., Blum, V., Bowler, D. R., Buccheri, A., Chelikowsky, J. R., Das, S., Dawson, W., Delugas, P., Dogan, M., Draxl, C., Galli, G., Genovese, L., Giannozzi, P., Giantomassi, M., Gonze, X., Govoni, M., Gulans, A., Gygi, F.,  Perez, D. (2022). Roadmap on Electronic Structure Codes in the Exascale Era. In arXiv:2209.12747.

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 

Kühne, T., Plessl, C., Schade, R., &; Schütt, O. (2022). CK on the road to exascale. In arXiv:2205.14741.

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 

Gavini, V., Baroni, S., Blum, V., Bowler, D. R., Buccheri, A., Chelikowsky, J. R., Das, S., Dawson, W., Delugas, P., Dogan, M., Draxl, C., Galli, G., Genovese, L., Giannozzi, P., Giantomassi, M., Gonze, X., Govoni, M., Gulans, A., Gygi, F.,  Perez, D. (2022). Roadmap on Electronic Structure Codes in the Exascale Era. In arXiv:2209.12747.

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 

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