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146 Publications


2023 | Conference Paper | LibreCat-ID: 46189
C. Prouveur, M. Haefele, T. Kenter, and N. Voss, “FPGA Acceleration for HPC Supercapacitor Simulations,” 2023, doi: 10.1145/3592979.3593419.
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2022 | Dissertation | LibreCat-ID: 32414
M. Lass, Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Paderborn: Universität Paderborn, 2022.
LibreCat | DOI
 

2022 | Preprint | LibreCat-ID: 33493
V. Gavini et al., “Roadmap on Electronic Structure Codes in the Exascale Era,” arXiv:2209.12747. 2022.
LibreCat | arXiv
 

2022 | Conference Paper | LibreCat-ID: 46193 | OA
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.
LibreCat | Download (ext.) | arXiv
 

2022 | Journal Article | LibreCat-ID: 33226 | OA
R. Schade, C. Bauer, K. Tamoev, L. Mazur, C. Plessl, and T. Kühne, “Parallel quantum chemistry on noisy intermediate-scale quantum computers,” Phys. Rev. Research, vol. 4, p. 033160, 2022, doi: 10.1103/PhysRevResearch.4.033160.
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2022 | Journal Article | LibreCat-ID: 33684 | OA
R. Schade et al., “Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms,” Parallel Computing, vol. 111, Art. no. 102920, 2022, doi: 10.1016/j.parco.2022.102920.
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2022 | Journal Article | LibreCat-ID: 27364
M. Meyer, T. Kenter, and C. Plessl, “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, 2022, doi: 10.1016/j.jpdc.2021.10.007.
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2021 | Journal Article | LibreCat-ID: 28099 | OA
J. Menzel, C. Plessl, and T. Kenter, “The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations,” ACM Transactions on Reconfigurable Technology and Systems, vol. 15, no. 1, pp. 1–30, 2021, doi: 10.1145/3491235.
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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.
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 21587
S. Alhaddad et al., “HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids,” in Euro-Par 2020: Parallel Processing Workshops, Cham, 2021.
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2021 | Book Chapter | LibreCat-ID: 29936
A. Ramaswami, T. Kenter, T. Kühne, and C. Plessl, “Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing,” in Applied Reconfigurable Computing. Architectures, Tools, and Applications, Cham: Springer International Publishing, 2021.
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2021 | Journal Article | LibreCat-ID: 24788 | OA
S. Alhaddad et al., “The HighPerMeshes framework for numerical algorithms on unstructured grids,” Concurrency and Computation: Practice and Experience, p. e6616, 2021, doi: 10.1002/cpe.6616.
LibreCat | Files available | DOI
 

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.
LibreCat | DOI
 

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 | Journal Article | LibreCat-ID: 16277 | OA
T. Kühne et al., “CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations,” The Journal of Chemical Physics, vol. 152, no. 19, Art. no. 194103, 2020, doi: 10.1063/5.0007045.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 

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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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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2020 | Journal Article | LibreCat-ID: 12878 | OA
V. Rengaraj, M. Lass, C. Plessl, and T. Kühne, “Accurate Sampling with Noisy Forces from Approximate Computing,” Computation, vol. 8, no. 2, Art. no. 39, 2020, doi: 10.3390/computation8020039.
LibreCat | DOI | Download (ext.) | arXiv
 

2019 | Journal Article | LibreCat-ID: 7689
H. Riebler, G. F. Vaz, T. Kenter, and C. Plessl, “Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL,” ACM Trans. Archit. Code Optim. (TACO), vol. 16, no. 2, pp. 14:1–14:26, 2019.
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