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147 Publications
2024 | Journal Article | LibreCat-ID: 53474
Lass, Michael, et al. “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations.” Entropy, vol. 26, no. 4, 322, MDPI AG, 2024, doi:10.3390/e26040322.
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2024 | Conference Paper | LibreCat-ID: 53503
Olgu, Kaan, et al. “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, ACM, 2024, doi:10.1145/3648115.3648134.
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2024 | Journal Article | LibreCat-ID: 53663 | 
Bauer, Carsten, et al. “Noctua 2 Supercomputer.” Journal of Large-Scale Research Facilities, vol. 9, 2024, doi:10.17815/jlsrf-8-187 .
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2023 | Journal Article | LibreCat-ID: 38041 |
Meyer, Marius, et al. “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks.” ACM Transactions on Reconfigurable Technology and Systems, Association for Computing Machinery (ACM), 2023, doi:10.1145/3576200.
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2023 | Book Chapter | LibreCat-ID: 45893 |
Hansmeier, Tim, et al. “Compute Centers I: Heterogeneous Execution Environments.” On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 165–82, doi:10.5281/zenodo.8068642.
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2023 | Conference Paper | LibreCat-ID: 46190 |
Opdenhövel, Jan-Oliver, et al. “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, ACM, 2023, doi:10.1145/3597031.3597050.
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2023 | Conference Paper | LibreCat-ID: 43228
Wu, Xin, et al. “Computing and Compressing Electron Repulsion Integrals on FPGAs.” 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023, pp. 162–73, doi:10.1109/FCCM57271.2023.00026.
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| arXiv
2023 | Journal Article | LibreCat-ID: 45361 |
Schade, Robert, et al. “Breaking the Exascale Barrier for the Electronic Structure Problem in Ab-Initio Molecular Dynamics.” The International Journal of High Performance Computing Applications, 109434202311776, SAGE Publications, 2023, doi:10.1177/10943420231177631.
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2023 | Book Chapter | LibreCat-ID: 46191
Alt, Christoph, et al. “Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline.” Lecture Notes in Computer Science, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-32041-5_5.
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2023 | Conference Paper | LibreCat-ID: 46188
Faj, Jennifer, et al. “Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes.” Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2023, doi:10.1145/3592979.3593407.
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2023 | Conference Paper | LibreCat-ID: 46189
Prouveur, Charles, et al. “FPGA Acceleration for HPC Supercapacitor Simulations.” Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2023, doi:10.1145/3592979.3593419.
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2022 | Dissertation | LibreCat-ID: 32414
Lass, Michael. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn, 2022, doi:10.17619/UNIPB/1-1281.
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2022 | Conference Paper | LibreCat-ID: 46193 |
Karp, Martin, et al. “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, ACM, 2022, doi:10.1145/3492805.3492808.
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2022 | Preprint | LibreCat-ID: 32404
Kühne, Thomas, et al. “CP2K on the Road to Exascale.” ArXiv:2205.14741, 2022.
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| arXiv
2022 | Journal Article | LibreCat-ID: 33226 |
Schade, Robert, et al. “Parallel Quantum Chemistry on Noisy Intermediate-Scale Quantum Computers.” Phys. Rev. Research, vol. 4, American Physical Society, 2022, p. 033160, doi:10.1103/PhysRevResearch.4.033160.
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2022 | Journal Article | LibreCat-ID: 33684 |
Schade, Robert, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.” Parallel Computing, vol. 111, 102920, Elsevier BV, 2022, doi:10.1016/j.parco.2022.102920.
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2022 | Journal Article | LibreCat-ID: 27364
Meyer, Marius, et al. “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 |
Menzel, Johannes, et al. “The Strong Scaling Advantage of FPGAs in HPC for N-Body Simulations.” ACM Transactions on Reconfigurable Technology and Systems, vol. 15, no. 1, 2021, pp. 1–30, doi:10.1145/3491235.
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2021 | Conference Paper | LibreCat-ID: 46195
Karp, Martin, et al. “High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection.” 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021, doi:10.1109/ipdps49936.2021.00116.
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2021 | Book Chapter | LibreCat-ID: 21587
Alhaddad, Samer, et al. “HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids.” Euro-Par 2020: Parallel Processing Workshops, 2021, doi:10.1007/978-3-030-71593-9_15.
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2021 | Book Chapter | LibreCat-ID: 29936
Ramaswami, Arjun, et al. “Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing.” Applied Reconfigurable Computing. Architectures, Tools, and Applications, Springer International Publishing, 2021, doi:10.1007/978-3-030-79025-7_21.
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2021 | Journal Article | LibreCat-ID: 24788 |
Alhaddad, Samer, et al. “The HighPerMeshes Framework for Numerical Algorithms on Unstructured Grids.” Concurrency and Computation: Practice and Experience, 2021, p. e6616, doi:10.1002/cpe.6616.
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2021 | Conference Paper | LibreCat-ID: 29937
Karp, Martin, et al. “High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection.” 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021, doi:10.1109/ipdps49936.2021.00116.
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2021 | Conference Paper | LibreCat-ID: 46194
Kenter, Tobias, et al. “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), ACM, 2021, doi:10.1145/3468267.3470617.
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2020 | Journal Article | LibreCat-ID: 16277 |
Kühne, Thomas, 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, 194103, 2020, doi:10.1063/5.0007045.
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| arXiv
2020 | Conference Paper | LibreCat-ID: 16898
Lass, Michael, et al. “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), IEEE Computer Society, 2020, pp. 1127–40, doi:10.1109/SC41405.2020.00084.
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| arXiv
2020 | Conference Paper | LibreCat-ID: 21632
Meyer, Marius, et al. “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), 2020, doi:10.1109/h2rc51942.2020.00007.
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2020 | Journal Article | LibreCat-ID: 12878 |
Rengaraj, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation, vol. 8, no. 2, 39, MDPI, 2020, doi:10.3390/computation8020039.
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| arXiv
2019 | Journal Article | LibreCat-ID: 7689
Riebler, Heinrich, et al. “Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL.” ACM Trans. Archit. Code Optim. (TACO), vol. 16, no. 2, ACM, 2019, pp. 14:1–14:26, doi:10.1145/3319423.
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2019 | Conference Paper | LibreCat-ID: 15478
Gorlani, Paolo, et al. “OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs.” Proceedings of the International Conference on Field-Programmable Technology (FPT), IEEE, 2019, doi:10.1109/ICFPT47387.2019.00020.
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2019 | Dissertation | LibreCat-ID: 14849
Vaz, Gavin Francis. Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems. Universität Paderborn, 2019.
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2019 | Journal Article | LibreCat-ID: 21
Richters, Dorothee, et al. “A General Algorithm to Calculate the Inverse Principal P-Th Root of Symmetric Positive Definite Matrices.” Communications in Computational Physics, vol. 25, no. 2, Global Science Press, 2019, pp. 564–85, doi:10.4208/cicp.OA-2018-0053.
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| arXiv
2019 | Journal Article | LibreCat-ID: 12871 |
Platzner, Marco, and Christian Plessl. “FPGAs im Rechenzentrum.” Informatik Spektrum, 2019, doi:10.1007/s00287-019-01187-w.
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2018 | Journal Article | LibreCat-ID: 20
Lass, Michael, et al. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.” Embedded Systems Letters, vol. 10, no. 2, IEEE, 2018, pp. 33–36, doi:10.1109/LES.2017.2760923.
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| arXiv
2018 | Mastersthesis | LibreCat-ID: 5414
Filmwala, Tasneem. Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate It on FPGA Platform. Universität Paderborn, 2018.
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2018 | Mastersthesis | LibreCat-ID: 5421
Gadewar, Onkar. Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL. Universität Paderborn, 2018.
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2018 | Journal Article | LibreCat-ID: 6516
Mertens, Jan Cedric, et al. “Sprint Diagnostic with GPS and Inertial Sensor Fusion.” Sports Engineering, vol. 21, no. 4, Springer Nature, 2018, pp. 441–51, doi:10.1007/s12283-018-0291-0.
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2018 | Mastersthesis | LibreCat-ID: 5417 |
Ramaswami, Arjun. Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA. Universität Paderborn, 2018.
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2018 | Conference Paper | LibreCat-ID: 1588
Kenter, Tobias, et al. “OpenCL-Based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes.” Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), IEEE, 2018, doi:10.1109/FCCM.2018.00037.
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2018 | Conference Paper | LibreCat-ID: 1590
Lass, Michael, et al. “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, ACM, 2018, doi:10.1145/3218176.3218231.
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| arXiv
2018 | Conference Paper | LibreCat-ID: 1204
Riebler, Heinrich, et al. “Automated Code Acceleration Targeting Heterogeneous OpenCL Devices.” Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), ACM, 2018, doi:10.1145/3178487.3178534.
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2017 | Journal Article | LibreCat-ID: 18
Riebler, Heinrich, et al. “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs.” ACM Transactions on Reconfigurable Technology and Systems (TRETS), vol. 10, no. 3, Association for Computing Machinery (ACM), 2017, p. 24:1-24:23, doi:10.1145/3053687.
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2017 | Conference Paper | LibreCat-ID: 1592
Kenter, Tobias, et al. “Flexible FPGA Design for FDTD Using OpenCL.” Proc. Int. Conf. on Field Programmable Logic and Applications (FPL), IEEE, 2017, doi:10.23919/FPL.2017.8056844.
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2017 | Journal Article | LibreCat-ID: 1589
Schumacher, Jörn, et al. “High-Throughput and Low-Latency Network Communication with NetIO.” Journal of Physics: Conference Series, vol. 898, 082003, IOP Publishing, 2017, doi:10.1088/1742-6596/898/8/082003.
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2016 | Conference Paper | LibreCat-ID: 19
Lass, Michael, et al. “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension.” Proc. 41st Conference on Local Computer Networks (LCN), IEEE, 2016, doi:10.1109/lcn.2016.11.
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| DOI
2016 | Mastersthesis | LibreCat-ID: 5418
Tölke, Christian. Sicherheit von Hybriden FPGA-Systemen in Der Industriellen Automatisierungstechnik -- Anforderungen Und Umsetzung. Universität Paderborn, 2016.
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2016 | Mastersthesis | LibreCat-ID: 5420
Wüllrich, Gunnar. Dynamic OpenCL Task Scheduling for Energy and Performance in a Heterogeneous Environment. Universität Paderborn, 2016.
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2016 | Dissertation | LibreCat-ID: 161
Kenter, Tobias. Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn, 2016.
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