Menzel J, Plessl C, Kenter T. The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations. ACM Transactions on Reconfigurable Technology and Systems. 2021;15(1):1-30. doi:10.1145/3491235
LibreCat: /record/28099
DOI: 10.1145/3491235

Karp M, Podobas A, Jansson N, et al. High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection. In: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE; 2021. doi:10.1109/ipdps49936.2021.00116
LibreCat: /record/46195
DOI: 10.1109/ipdps49936.2021.00116

Alhaddad S, Förstner J, Groth S, et al. HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids. In: Euro-Par 2020: Parallel Processing Workshops. ; 2021. doi:10.1007/978-3-030-71593-9_15
LibreCat: /record/21587
DOI: 10.1007/978-3-030-71593-9_15

Ramaswami A, Kenter T, Kühne T, Plessl C. Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing. In: Applied Reconfigurable Computing. Architectures, Tools, and Applications. Springer International Publishing; 2021. doi:10.1007/978-3-030-79025-7_21
LibreCat: /record/29936
DOI: 10.1007/978-3-030-79025-7_21

Alhaddad S, Förstner J, Groth S, et al. The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurrency and Computation: Practice and Experience. Published online 2021:e6616. doi:10.1002/cpe.6616
LibreCat: /record/24788
DOI: 10.1002/cpe.6616

Karp M, Podobas A, Jansson N, et al. High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection. In: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE; 2021. doi:10.1109/ipdps49936.2021.00116
LibreCat: /record/29937
DOI: 10.1109/ipdps49936.2021.00116

Kenter T, Shambhu A, Faghih-Naini S, Aizinger V. Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA. In: Proceedings of the Platform for Advanced Scientific Computing Conference (PASC). ACM; 2021. doi:10.1145/3468267.3470617
LibreCat: /record/46194
DOI: 10.1145/3468267.3470617

Kühne T, Iannuzzi M, Ben MD, et al. CK: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics. 2020;152(19). doi:10.1063/5.0007045
LibreCat: /record/16277
DOI: 10.1063/5.0007045
arXiv: 2003.03868

Lass M, Schade R, Kühne T, Plessl C. A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK. In: Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC). IEEE Computer Society; 2020:1127-1140. doi:10.1109/SC41405.2020.00084
LibreCat: /record/16898
DOI: 10.1109/SC41405.2020.00084
arXiv: 2004.10811

Meyer M, Kenter T, Plessl C. Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite. In: 2020 IEEE/ACM International Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC). ; 2020. doi:10.1109/h2rc51942.2020.00007
LibreCat: /record/21632
DOI: 10.1109/h2rc51942.2020.00007

Rengaraj V, Lass M, Plessl C, Kühne T. Accurate Sampling with Noisy Forces from Approximate Computing. Computation. 2020;8(2). doi:10.3390/computation8020039
LibreCat: /record/12878
DOI: 10.3390/computation8020039
arXiv: 1907.08497

Riebler H, Vaz GF, Kenter T, Plessl C. Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL. ACM Trans Archit Code Optim (TACO). 2019;16(2):14:1–14:26. doi:10.1145/3319423
LibreCat: /record/7689
DOI: 10.1145/3319423

Gorlani P, Kenter T, Plessl C. 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; 2019. doi:10.1109/ICFPT47387.2019.00020
LibreCat: /record/15478
DOI: 10.1109/ICFPT47387.2019.00020

Vaz GF. Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems. Universität Paderborn; 2019.
LibreCat: /record/14849

Richters D, Lass M, Walther A, Plessl C, Kühne T. A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics. 2019;25(2):564-585. doi:10.4208/cicp.OA-2018-0053
LibreCat: /record/21
DOI: 10.4208/cicp.OA-2018-0053
arXiv: 1703.02456

Platzner M, Plessl C. FPGAs im Rechenzentrum. Informatik Spektrum. Published online 2019. doi:10.1007/s00287-019-01187-w
LibreCat: /record/12871
DOI: 10.1007/s00287-019-01187-w

Lass M, Kühne T, Plessl C. Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters. 2018;10(2):33-36. doi:10.1109/LES.2017.2760923
LibreCat: /record/20
DOI: 10.1109/LES.2017.2760923
arXiv: 1703.02283

Filmwala T. Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate It on FPGA Platform. Universität Paderborn; 2018.
LibreCat: /record/5414

Gadewar O. Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL. Universität Paderborn; 2018.
LibreCat: /record/5421

Mertens JC, Boschmann A, Schmidt M, Plessl C. Sprint diagnostic with GPS and inertial sensor fusion. Sports Engineering. 2018;21(4):441-451. doi:10.1007/s12283-018-0291-0
LibreCat: /record/6516
DOI: 10.1007/s12283-018-0291-0