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154 Publications
2025 | Conference Paper | LibreCat-ID: 59804
Jungemann, L., Wintermann, B., Riebler, H., & Plessl, C. (n.d.). FINN-HPC: Closing the Gap for Energy-Efficient Neural Network Inference on FPGAs in HPC. Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. The International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies 2025 (HEART 2025), Kumamoto, Japan. https://doi.org/10.1145/3728179.3728189
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2024 | Journal Article | LibreCat-ID: 53474
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
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2024 | Conference Paper | LibreCat-ID: 53503
Olgu, K., Kenter, T., Nunez-Yanez, J., & Mcintosh-Smith, S. (2024). Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures. Proceedings of the 12th International Workshop on OpenCL and SYCL. https://doi.org/10.1145/3648115.3648134
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2024 | Journal Article | LibreCat-ID: 53663 | 
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
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2024 | Book Chapter | LibreCat-ID: 56606 |
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 Lecture Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-69766-1_9
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2024 | Conference Paper | LibreCat-ID: 56605
Opdenhövel, J.-O., Alt, C., Plessl, C., & Kenter, T. (2024). StencilStream: A SYCL-based Stencil Simulation Framework Targeting FPGAs. 2024 34th International Conference on Field-Programmable Logic and Applications (FPL). https://doi.org/10.1109/fpl64840.2024.00023
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2024 | Conference Paper | LibreCat-ID: 56607
Tareen, A. R., Meyer, M., Plessl, C., & Kenter, T. (2024). HiHiSpMV: Sparse Matrix Vector Multiplication with Hierarchical Row Reductions on FPGAs with High Bandwidth Memory. 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 35. https://doi.org/10.1109/fccm60383.2024.00014
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2024 | Conference Paper | LibreCat-ID: 56609
Stachura, P., Li, G., Wu, X., Plessl, C., & Fang, Z. (2024). SERI: High-Throughput Streaming Acceleration of Electron Repulsion Integral Computation in Quantum Chemistry using HBM-based FPGAs. 2024 34th International Conference on Field-Programmable Logic and Applications (FPL), 60–68. https://doi.org/10.1109/fpl64840.2024.00018
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2024 | Conference Paper | LibreCat-ID: 54312
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), Article 11. https://doi.org/10.1145/3659914.3659925
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2024 | Journal Article | LibreCat-ID: 56604 |
Van Hirtum, L., De Causmaecker, P., Goemaere, J., Kenter, T., Riebler, H., Lass, M., & Plessl, C. (2024). A Computation of the Ninth Dedekind Number Using FPGA Supercomputing. ACM Transactions on Reconfigurable Technology and Systems, 17(3), 1–28. https://doi.org/10.1145/3674147
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2023 | Book Chapter | LibreCat-ID: 46191
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
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2023 | Conference Paper | LibreCat-ID: 46188
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
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2023 | Conference Paper | LibreCat-ID: 46189
Prouveur, C., Haefele, M., Kenter, T., & Voss, N. (2023). FPGA Acceleration for HPC Supercapacitor Simulations. Proceedings of the Platform for Advanced Scientific Computing Conference (PASC). https://doi.org/10.1145/3592979.3593419
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2023 | Book Chapter | LibreCat-ID: 45893 |
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
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2023 | Conference Paper | LibreCat-ID: 46190 |
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
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2023 | Journal Article | LibreCat-ID: 38041 |
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
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2023 | Conference Paper | LibreCat-ID: 43228
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
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2023 | Journal Article | LibreCat-ID: 45361 |
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
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2022 | Dissertation | LibreCat-ID: 32414
Lass, M. (2022). Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1281
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