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97 Publications
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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| arXiv
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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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 | 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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2022 | Conference Paper | LibreCat-ID: 46193 |
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
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2022 | Journal Article | LibreCat-ID: 33226 |
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
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2022 | Journal Article | LibreCat-ID: 33684 |
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
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2022 | Journal Article | LibreCat-ID: 27364
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
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2021 | Journal Article | LibreCat-ID: 28099 |
Menzel, J., Plessl, C., & Kenter, T. (2021). The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations. ACM Transactions on Reconfigurable Technology and Systems, 15(1), 1–30. https://doi.org/10.1145/3491235
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2021 | Conference Paper | LibreCat-ID: 46195
Karp, M., Podobas, A., Jansson, N., Kenter, T., Plessl, C., Schlatter, P., & Markidis, S. (2021). High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). https://doi.org/10.1109/ipdps49936.2021.00116
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2021 | Book Chapter | LibreCat-ID: 21587
Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., Kenter, T., Pfreundt, F.-J., Plessl, C., Schotte, M., Steinke, T., Teich, J., Weiser, M., & Wende, F. (2021). HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids. In Euro-Par 2020: Parallel Processing Workshops. https://doi.org/10.1007/978-3-030-71593-9_15
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2021 | Book Chapter | LibreCat-ID: 29936
Ramaswami, A., Kenter, T., Kühne, T., & Plessl, C. (2021). Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing. In Applied Reconfigurable Computing. Architectures, Tools, and Applications. Int. Conf. on Applied Reconfigurable Computing. Architectures, Tools, and Applications. Springer International Publishing. https://doi.org/10.1007/978-3-030-79025-7_21
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2021 | Journal Article | LibreCat-ID: 24788 |
Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., Kenter, T., Pfreundt, F., Plessl, C., Schotte, M., Steinke, T., Teich, J., Weiser, M., & Wende, F. (2021). The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurrency and Computation: Practice and Experience, e6616. https://doi.org/10.1002/cpe.6616
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2021 | Conference Paper | LibreCat-ID: 29937
Karp, M., Podobas, A., Jansson, N., Kenter, T., Plessl, C., Schlatter, P., & Markidis, S. (2021). High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). https://doi.org/10.1109/ipdps49936.2021.00116
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2021 | Conference Paper | LibreCat-ID: 46194
Kenter, T., Shambhu, A., Faghih-Naini, S., & Aizinger, V. (2021). Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA. Proceedings of the Platform for Advanced Scientific Computing Conference (PASC). https://doi.org/10.1145/3468267.3470617
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2020 | Journal Article | LibreCat-ID: 16277 |
Kühne, T., Iannuzzi, M., Ben, M. D., Rybkin, V. V., Seewald, P., Stein, F., Laino, T., Khaliullin, R. Z., Schütt, O., Schiffmann, F., Golze, D., Wilhelm, J., Chulkov, S., Mohammad Hossein Bani-Hashemian, M. H. B.-H., Weber, V., Borstnik, U., Taillefumier, M., Jakobovits, A. S., Lazzaro, A., … Hutter, J. (2020). CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics, 152(19), Article 194103. https://doi.org/10.1063/5.0007045
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| arXiv
2020 | Conference Paper | LibreCat-ID: 16898
Lass, M., Schade, R., Kühne, T., & Plessl, C. (2020). A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K. Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 1127–1140. https://doi.org/10.1109/SC41405.2020.00084
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| arXiv
2020 | Conference Paper | LibreCat-ID: 21632
Meyer, M., Kenter, T., & Plessl, C. (2020). Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite. 2020 IEEE/ACM International Workshop on Heterogeneous High-Performance Reconfigurable Computing (H2RC). https://doi.org/10.1109/h2rc51942.2020.00007
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2020 | Journal Article | LibreCat-ID: 12878 |
Rengaraj, V., Lass, M., Plessl, C., & Kühne, T. (2020). Accurate Sampling with Noisy Forces from Approximate Computing. Computation, 8(2), Article 39. https://doi.org/10.3390/computation8020039
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| arXiv
2019 | Journal Article | LibreCat-ID: 7689
Riebler, H., Vaz, G. F., Kenter, T., & Plessl, C. (2019). Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL. ACM Trans. Archit. Code Optim. (TACO), 16(2), 14:1–14:26. https://doi.org/10.1145/3319423
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2019 | Conference Paper | LibreCat-ID: 15478
Gorlani, P., Kenter, T., & Plessl, C. (2019). OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs. In Proceedings of the International Conference on Field-Programmable Technology (FPT). IEEE. https://doi.org/10.1109/ICFPT47387.2019.00020
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2019 | Journal Article | LibreCat-ID: 21
Richters, D., Lass, M., Walther, A., Plessl, C., & Kühne, T. (2019). A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics, 25(2), 564–585. https://doi.org/10.4208/cicp.OA-2018-0053
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| arXiv
2019 | Journal Article | LibreCat-ID: 12871 |
Platzner, M., & Plessl, C. (2019). FPGAs im Rechenzentrum. Informatik Spektrum. https://doi.org/10.1007/s00287-019-01187-w
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2018 | Journal Article | LibreCat-ID: 6516
Mertens, J. C., Boschmann, A., Schmidt, M., & Plessl, C. (2018). Sprint diagnostic with GPS and inertial sensor fusion. Sports Engineering, 21(4), 441–451. https://doi.org/10.1007/s12283-018-0291-0
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2018 | Conference Paper | LibreCat-ID: 1588
Kenter, T., Mahale, G., Alhaddad, S., Grynko, Y., Schmitt, C., Afzal, A., Hannig, F., Förstner, J., & Plessl, C. (2018). OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes. Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM). Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM). https://doi.org/10.1109/FCCM.2018.00037
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2018 | Conference Paper | LibreCat-ID: 1590
Lass, M., Mohr, S., Wiebeler, H., Kühne, T., & Plessl, C. (2018). A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices. Proc. Platform for Advanced Scientific Computing (PASC) Conference. Platform for Advanced Scientific Computing Conference (PASC), Basel, Switzerland. https://doi.org/10.1145/3218176.3218231
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| arXiv
2018 | Conference Paper | LibreCat-ID: 1204
Riebler, H., Vaz, G. F., Kenter, T., & Plessl, C. (2018). Automated Code Acceleration Targeting Heterogeneous OpenCL Devices. Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP). https://doi.org/10.1145/3178487.3178534
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2017 | Journal Article | LibreCat-ID: 18
Riebler, H., Lass, M., Mittendorf, R., Löcke, T., & Plessl, C. (2017). Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 10(3), 24:1-24:23. https://doi.org/10.1145/3053687
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2017 | Conference Paper | LibreCat-ID: 1592
Kenter, T., Förstner, J., & Plessl, C. (2017). Flexible FPGA design for FDTD using OpenCL. Proc. Int. Conf. on Field Programmable Logic and Applications (FPL). https://doi.org/10.23919/FPL.2017.8056844
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2017 | Journal Article | LibreCat-ID: 1589
Schumacher, J., Plessl, C., & Vandelli, W. (2017). High-Throughput and Low-Latency Network Communication with NetIO. Journal of Physics: Conference Series, 898, Article 082003. https://doi.org/10.1088/1742-6596/898/8/082003
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2016 | Book Chapter | LibreCat-ID: 29
Agne, A., Platzner, M., Plessl, C., Happe, M., & Lübbers, E. (2016). ReconOS. In D. Koch, F. Hannig, & D. Ziener (Eds.), FPGAs for Software Programmers (pp. 227–244). Springer International Publishing. https://doi.org/10.1007/978-3-319-26408-0_13
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2016 | Conference Paper | LibreCat-ID: 31
Riebler, H., Vaz, G. F., Plessl, C., Trainiti, E. M. G., Durelli, G. C., & Bolchini, C. (2016). Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. Proc. HiPEAC Workshop on Reonfigurable Computing (WRC).
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2016 | Conference Paper | LibreCat-ID: 24
Kenter, T., & Plessl, C. (2016). Microdisk Cavity FDTD Simulation on FPGA using OpenCL. Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (H2RC).
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2016 | Conference Paper | LibreCat-ID: 25
Lass, M., Kühne, T., & Plessl, C. (2016). Using Approximate Computing in Scientific Codes. Workshop on Approximate Computing (AC).
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2016 | Conference Paper | LibreCat-ID: 138
Riebler, H., Vaz, G. F., Plessl, C., Trainiti, E. M. G., Durelli, G. C., Del Sozzo, E., Santambrogio, M. D., & Bolchini, C. (2016). Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. Proceedings of International Forum on Research and Technologies for Society and Industry (RTSI), 1–5. https://doi.org/10.1109/RTSI.2016.7740545
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2016 | Book Chapter | LibreCat-ID: 156
Agne, A., Happe, M., Lösch, A., Plessl, C., & Platzner, M. (2016). Self-aware Compute Nodes. In Self-aware Computing Systems (pp. 145–165). Springer International Publishing. https://doi.org/10.1007/978-3-319-39675-0_8
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2016 | Journal Article | LibreCat-ID: 165
Vaz, G. F., Riebler, H., Kenter, T., & Plessl, C. (2016). Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code. Computers and Electrical Engineering, 55, 91–111. https://doi.org/10.1016/j.compeleceng.2016.04.021
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2016 | Conference Paper | LibreCat-ID: 168
Lösch, A., Beisel, T., Kenter, T., Plessl, C., & Platzner, M. (2016). Performance-centric scheduling with task migration for a heterogeneous compute node in the data center. Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 912–917.
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2016 | Conference Paper | LibreCat-ID: 171
Kenter, T., Vaz, G. F., Riebler, H., & Plessl, C. (2016). Opportunities for deferring application partitioning and accelerator synthesis to runtime (extended abstract). Workshop on Reconfigurable Computing (WRC).
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2015 | Journal Article | LibreCat-ID: 296
Kenter, T., Schmitz, H., & Plessl, C. (2015). Exploring Tradeoffs between Specialized Kernels and a Reusable Overlay in a Stereo-Matching Case Study. International Journal of Reconfigurable Computing (IJRC), 2015, Article 859425. https://doi.org/10.1155/2015/859425
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2015 | Conference Paper | LibreCat-ID: 303 |
Damschen, M., & Plessl, C. (2015). Easy-to-Use On-The-Fly Binary Program Acceleration on Many-Cores. Proceedings of the 5th International Workshop on Adaptive Self-Tuning Computing Systems (ADAPT).
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| arXiv
2015 | Conference Paper | LibreCat-ID: 1773
Schumacher, J., T. Anderson, J., Borga, A., Boterenbrood, H., Chen, H., Chen, K., Drake, G., Francis, D., Gorini, B., Lanni, F., Lehmann-Miotto, G., Levinson, L., Narevicius, J., Plessl, C., Roich, A., Ryu, S., P. Schreuder, F., Vandelli, W., Vermeulen, J., & Zhang, J. (2015). Improving Packet Processing Performance in the ATLAS FELIX Project – Analysis and Optimization of a Memory-Bounded Algorithm. Proc. Int. Conf. on Distributed Event-Based Systems (DEBS). https://doi.org/10.1145/2675743.2771824
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2015 | Journal Article | LibreCat-ID: 1768
Plessl, C., Platzner, M., & Schreier, P. J. (2015). Aktuelles Schlagwort: Approximate Computing. Informatik Spektrum, 5, 396–399. https://doi.org/10.1007/s00287-015-0911-z
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2015 | Conference Paper | LibreCat-ID: 238
Damschen, M., Riebler, H., Vaz, G. F., & Plessl, C. (2015). Transparent offloading of computational hotspots from binary code to Xeon Phi. Proceedings of the 2015 Conference on Design, Automation and Test in Europe (DATE), 1078–1083. https://doi.org/10.7873/DATE.2015.1124
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2015 | Journal Article | LibreCat-ID: 1775
Anderson, J., Borga, A., Boterenbrood, H., Chen, H., Chen, K., Drake, G., Francis, D., Gorini, B., Lanni, F., Lehmann Miotto, G., Levinson, L., Narevicius, J., Plessl, C., Roich, A., Ryu, S., Schreuder, F., Schumacher, J., Vandelli, W., Vermeulen, J., & Zhang, J. (2015). FELIX: a High-Throughput Network Approach for Interfacing to Front End Electronics for ATLAS Upgrades. Journal of Physics: Conference Series, 664, Article 082050. https://doi.org/10.1088/1742-6596/664/8/082050
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2014 | Book Chapter | LibreCat-ID: 335
Platzner, M., & Plessl, C. (2014). Verschiebungen an der Grenze zwischen Hardware und Software. In J. Künsemöller, N. O. Eke, L. Foit, & T. Kaerlein (Eds.), Logiken strukturbildender Prozesse: Automatismen (pp. 123–144). Wilhelm Fink.
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2014 | Conference Paper | LibreCat-ID: 388
Kenter, T., Vaz, G. F., & Plessl, C. (2014). Partitioning and Vectorizing Binary Applications for a Reconfigurable Vector Computer. Proceedings of the International Symposium on Reconfigurable Computing: Architectures, Tools, and Applications (ARC), 8405, 144–155. https://doi.org/10.1007/978-3-319-05960-0_13
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