Meyer, Marius, et al. “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, Association for Computing Machinery (ACM), 2023, doi:10.1145/3576200.

Wu, Xin, et al. “Computing and Compressing Electron Repulsion Integrals on FPGAs.”10.1109/FCCM57271.2023.00026__2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023, pp. 162–73, doi:10.1109/FCCM57271.2023.00026.

Schade, Robert, et al. “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, 109434202311776, SAGE Publications, 2023, doi:10.1177/10943420231177631.

Alt, Christoph, et al. “Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline.”10.1007/978-3-031-32041-5_5__Lecture Notes in Computer Science, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-32041-5_5.

Faj, Jennifer, et al. “Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes.”10.1145/3592979.3593407__Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2023, doi:10.1145/3592979.3593407.

Prouveur, Charles, et al. “FPGA Acceleration for HPC Supercapacitor Simulations.”10.1145/3592979.3593419__Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2023, doi:10.1145/3592979.3593419.

Opdenhövel, Jan-Oliver, et al. “Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation.”10.1145/3597031.3597050__Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART), ACM, 2023, doi:10.1145/3597031.3597050.

Karp, Martin, et al. “A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges.”10.1145/3492805.3492808__International Conference on High Performance Computing in Asia-Pacific Region, ACM, 2022, doi:10.1145/3492805.3492808.

Schade, Robert, et al. “Parallel Quantum Chemistry on Noisy Intermediate-Scale Quantum Computers.”10.1103/PhysRevResearch.4.033160__Phys. Rev. Research, vol. 4, American Physical Society, 2022, p. 033160, doi:10.1103/PhysRevResearch.4.033160.

Schade, Robert, 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, 102920, Elsevier BV, 2022, doi:10.1016/j.parco.2022.102920.

Meyer, Marius, et al. “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.

Menzel, Johannes, et al. “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, 2021, pp. 1–30, doi:10.1145/3491235.

Karp, Martin, et al. “High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection.”10.1109/ipdps49936.2021.00116__2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021, doi:10.1109/ipdps49936.2021.00116.

Alhaddad, Samer, et al. “HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids.”10.1007/978-3-030-71593-9_15__Euro-Par 2020: Parallel Processing Workshops, 2021, doi:10.1007/978-3-030-71593-9_15.

Ramaswami, Arjun, et al. “Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing.”10.1007/978-3-030-79025-7_21__Applied Reconfigurable Computing. Architectures, Tools, and Applications, Springer International Publishing, 2021, doi:10.1007/978-3-030-79025-7_21.

Alhaddad, Samer, et al. “The HighPerMeshes Framework for Numerical Algorithms on Unstructured Grids.”10.1002/cpe.6616__Concurrency and Computation: Practice and Experience, 2021, p. e6616, doi:10.1002/cpe.6616.

Karp, Martin, et al. “High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection.”10.1109/ipdps49936.2021.00116__2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021, doi:10.1109/ipdps49936.2021.00116.

Kenter, Tobias, et al. “Algorithm-Hardware Co-Design of a Discontinuous Galerkin Shallow-Water Model for a Dataflow Architecture on FPGA.”10.1145/3468267.3470617__Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2021, doi:10.1145/3468267.3470617.

Kühne, Thomas, 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, 194103, 2020, doi:10.1063/5.0007045.

Lass, Michael, et al. “A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK.”10.1109/SC41405.2020.00084__Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), IEEE Computer Society, 2020, pp. 1127–40, doi:10.1109/SC41405.2020.00084.