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212 Publications
2023 | Conference Paper | LibreCat-ID: 46190 |
J.-O. Opdenhövel, C. Plessl, and T. Kenter, “Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation,” 2023, doi: 10.1145/3597031.3597050.
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2022 | Preprint | LibreCat-ID: 36879 |
V. Churavy et al., “Bridging HPC Communities through the Julia Programming Language.” 2022.
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2022 | Conference Paper | LibreCat-ID: 46193 |
M. Karp et al., “A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges,” 2022, doi: 10.1145/3492805.3492808.
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2022 | Preprint | LibreCat-ID: 32404
T. Kühne, C. Plessl, R. Schade, and O. Schütt, “CP2K on the road to exascale,” arXiv:2205.14741. 2022.
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| arXiv
2021 | Conference Paper | LibreCat-ID: 27365
M. Meyer, “Towards Performance Characterization of FPGAs in Context of HPC using OpenCL Benchmarks,” 2021, doi: 10.1145/3468044.3468058.
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2021 | Conference Paper | LibreCat-ID: 20886
T. Nickchen, S. Heindorf, and G. Engels, “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, Hawaii, 2021, pp. 1994–2002.
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2021 | Conference Paper | LibreCat-ID: 46195
M. Karp et al., “High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection,” 2021, doi: 10.1109/ipdps49936.2021.00116.
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2021 | Conference Paper | LibreCat-ID: 29937
M. Karp et al., “High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection,” 2021, doi: 10.1109/ipdps49936.2021.00116.
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2021 | Conference Paper | LibreCat-ID: 46194
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,” 2021, doi: 10.1145/3468267.3470617.
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2020 | Conference Paper | LibreCat-ID: 16898
M. Lass, R. Schade, T. Kühne, and C. Plessl, “A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K,” 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.
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| arXiv
2020 | Conference Paper | LibreCat-ID: 21632
M. Meyer, T. Kenter, and C. Plessl, “Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite,” 2020, doi: 10.1109/h2rc51942.2020.00007.
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2019 | Conference Paper | LibreCat-ID: 15478
P. Gorlani, T. Kenter, and C. Plessl, “OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs,” in Proceedings of the International Conference on Field-Programmable Technology (FPT), 2019.
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