Chatwell, René Spencer, et al. “Diffusion of the Carbon Dioxide–Ethanol Mixture in the Extended Critical Region.”10.1039/d0cp04985a__Physical Chemistry Chemical Physics, vol. 23, no. 4, Royal Society of Chemistry (RSC), 2021, pp. 3106–15, doi:10.1039/d0cp04985a.

Karp, Martin, et al. “High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection.”10.1109/ipdps49936.2021.00116__2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021, doi:10.1109/ipdps49936.2021.00116.

Kenter, Tobias, et al. “Algorithm-Hardware Co-Design of a Discontinuous Galerkin Shallow-Water Model for a Dataflow Architecture on FPGA.”10.1145/3468267.3470617__Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2021, doi:10.1145/3468267.3470617.

Nickchen, Tobias, et al. “Opportunities of 3D Machine Learning for Manufacturability Analysis and Component Recognition in the Additive Manufacturing Process Chain.”10.1007/978-3-030-54334-1_4__Industrializing Additive Manufacturing, 2020, doi:10.1007/978-3-030-54334-1_4.

Mirhosseini, Hossein, et al. “In Silico Investigation of Cu(In,Ga)Se<sub>2</sub>-Based Solar Cells.”10.1039/d0cp04712k__Physical Chemistry Chemical Physics, vol. 22, no. 46, Royal Society of Chemistry (RSC), 2020, pp. 26682–701, doi:10.1039/d0cp04712k.

Bengs, Viktor, and Eyke Hüllermeier. “Multi-Armed Bandits with Censored Consumption of Resources.” ArXiv:2011.00813, 2020.

Kühne, Thomas, et al. “CK: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.”10.1063/5.0007045__The Journal of Chemical Physics, vol. 152, no. 19, 194103, 2020, doi:10.1063/5.0007045.

Lass, Michael, et al. “A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK.”10.1109/SC41405.2020.00084__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.

Meyer, Marius, et al. “Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite.”10.1109/h2rc51942.2020.00007__2020 IEEE/ACM International Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC), 2020, doi:10.1109/h2rc51942.2020.00007.

Rengaraj, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.”10.3390/computation8020039__Computation, vol. 8, no. 2, 39, MDPI, 2020, doi:10.3390/computation8020039.

Riebler, Heinrich, et al. “Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL.”10.1145/3319423__ACM Trans. Archit. Code Optim. (TACO), vol. 16, no. 2, ACM, 2019, pp. 14:1–14:26, doi:10.1145/3319423.

Gorlani, Paolo, et al. “OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs.”10.1109/ICFPT47387.2019.00020__Proceedings of the International Conference on Field-Programmable Technology (FPT), IEEE, 2019, doi:10.1109/ICFPT47387.2019.00020.

Riebler, Heinrich. Efficient Parallel Branch-and-Bound Search on FPGAs Using Work Stealing and Instance-Specific Designs. 2019, doi:10.17619/UNIPB/1-830.

Richters, Dorothee, et al. “A General Algorithm to Calculate the Inverse Principal P-Th Root of Symmetric Positive Definite Matrices.”10.4208/cicp.OA-2018-0053__Communications in Computational Physics, vol. 25, no. 2, Global Science Press, 2019, pp. 564–85, doi:10.4208/cicp.OA-2018-0053.

Platzner, Marco, and Christian Plessl. “FPGAs im Rechenzentrum.”10.1007/s00287-019-01187-w__Informatik Spektrum, 2019, doi:10.1007/s00287-019-01187-w.

Lass, Michael, et al. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.”10.1109/LES.2017.2760923__Embedded Systems Letters, vol. 10, no. 2, IEEE, 2018, pp. 33–36, doi:10.1109/LES.2017.2760923.

Keller, Axel. “A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems.”10.1007/978-3-319-77398-8_8__Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), edited by D. Klusádek et al., vol. 10773, Springer, 2018, pp. 132–51, doi:10.1007/978-3-319-77398-8_8.

Filmwala, Tasneem. Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate It on FPGA Platform. Universität Paderborn, 2018.

Gadewar, Onkar. Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL. Universität Paderborn, 2018.

Mertens, Jan Cedric, et al. “Sprint Diagnostic with GPS and Inertial Sensor Fusion.”10.1007/s12283-018-0291-0__Sports Engineering, vol. 21, no. 4, Springer Nature, 2018, pp. 441–51, doi:10.1007/s12283-018-0291-0.

Ramaswami, Arjun. Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA. Universität Paderborn, 2018.

Luk, Samuel M. H., et al. “Theory of Optically Controlled Anisotropic Polariton Transport in Semiconductor Double Microcavities.”10.1364/josab.35.000146__Journal of the Optical Society of America B, vol. 35, no. 1, 146, 2018, doi:10.1364/josab.35.000146.

Kenter, Tobias, et al. “OpenCL-Based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes.”10.1109/FCCM.2018.00037__Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), IEEE, 2018, doi:10.1109/FCCM.2018.00037.

Lass, Michael, et al. “A Massively Parallel Algorithm for the Approximate Calculation of Inverse P-Th Roots of Large Sparse Matrices.”10.1145/3218176.3218231__Proc. Platform for Advanced Scientific Computing (PASC) Conference, ACM, 2018, doi:10.1145/3218176.3218231.

Riebler, Heinrich, et al. “Automated Code Acceleration Targeting Heterogeneous OpenCL Devices.”10.1145/3178487.3178534__Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), ACM, 2018, doi:10.1145/3178487.3178534.

Riebler, Heinrich, et al. “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs.”10.1145/3053687__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.

Kenter, Tobias, et al. “Flexible FPGA Design for FDTD Using OpenCL.”10.23919/FPL.2017.8056844__Proc. Int. Conf. on Field Programmable Logic and Applications (FPL), IEEE, 2017, doi:10.23919/FPL.2017.8056844.

Schumacher, Jörn, et al. “High-Throughput and Low-Latency Network Communication with NetIO.”10.1088/1742-6596/898/8/082003__Journal of Physics: Conference Series, vol. 898, 082003, IOP Publishing, 2017, doi:10.1088/1742-6596/898/8/082003.

Steinle, Tobias. Modeling and Simulation of Metallic, Particle-Damped Spheres for Lightweight Materials. 2016.

Dellnitz, Michael, et al. “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control.”10.1007/978-3-319-23413-7_87__Progress in Industrial Mathematics at ECMI, vol. 22, Springer International Publishing, 2016, pp. 633–41, doi:10.1007/978-3-319-23413-7_87.

Lass, Michael, et al. “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension.”10.1109/lcn.2016.11__Proc. 41st Conference on Local Computer Networks (LCN), IEEE, 2016, doi:10.1109/lcn.2016.11.

Tölke, Christian. Sicherheit von Hybriden FPGA-Systemen in Der Industriellen Automatisierungstechnik -- Anforderungen Und Umsetzung. Universität Paderborn, 2016.

Wüllrich, Gunnar. Dynamic OpenCL Task Scheduling for Energy and Performance in a Heterogeneous Environment. Universität Paderborn, 2016.

Kenter, Tobias. Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn, 2016.

Agne, Andreas, et al. “ReconOS.”10.1007/978-3-319-26408-0_13__FPGAs for Software Programmers, edited by Dirk Koch et al., Springer International Publishing, 2016, pp. 227–44, doi:10.1007/978-3-319-26408-0_13.

Riebler, Heinrich, et al. “Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems.” Proc. HiPEAC Workshop on Reonfigurable Computing (WRC), 2016.

Kenter, Tobias, and Christian Plessl. “Microdisk Cavity FDTD Simulation on FPGA Using OpenCL.” Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC), 2016.

Lass, Michael, et al. “Using Approximate Computing in Scientific Codes.” Workshop on Approximate Computing (AC), 2016.

Riebler, Heinrich, et al. “Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems.”10.1109/RTSI.2016.7740545__Proceedings of International Forum on Research and Technologies for Society and Industry (RTSI), IEEE, 2016, pp. 1–5, doi:10.1109/RTSI.2016.7740545.

Agne, Andreas, et al. “Self-Aware Compute Nodes.”10.1007/978-3-319-39675-0_8__Self-Aware Computing Systems, Springer International Publishing, 2016, pp. 145–65, doi:10.1007/978-3-319-39675-0_8.

Vaz, Gavin Francis, et al. “Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code.”10.1016/j.compeleceng.2016.04.021__Computers and Electrical Engineering, vol. 55, Elsevier, 2016, pp. 91–111, doi:10.1016/j.compeleceng.2016.04.021.

Lösch, Achim, et al. “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), EDA Consortium / IEEE, 2016, pp. 912–17.

Kenter, Tobias, et al. “Opportunities for Deferring Application Partitioning and Accelerator Synthesis to Runtime (Extended Abstract).” Workshop on Reconfigurable Computing (WRC), 2016.

Hegler, Sebastian, et al. “Simulative Ultraschall-Untersuchung von Pitch-Catch-Messanordnungen Für Große Zylindrische Stahl-Prüflinge Und Gradientenbasierte Bildgebung.”doi:10.1515/teme-2015-0031__Tm - Technisches Messen, vol. 82, no. 9, Walter de Gruyter, 2015, pp. 440–50, doi:doi:10.1515/teme-2015-0031.

Torresen, Jim, et al. “Self-Aware and Self-Expressive Systems – Guest Editor’s Introduction.”10.1109/MC.2015.205__IEEE Computer, vol. 48, no. 7, IEEE Computer Society, 2015, pp. 18–20, doi:10.1109/MC.2015.205.

Peitz, Sebastian, and Michael Dellnitz. “Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction.”10.1002/pamm.201510296__PAMM, vol. 15, no. 1, WILEY-VCH Verlag, 2015, pp. 613–14, doi:10.1002/pamm.201510296.

Lass, Michael. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn University, 2015.

Funke, Lukas. An LLVM Based Toolchain for Transparent Acceleration of Digital Image Processing Applications Using FPGA Overlay Architectures. Universität Paderborn, 2015.

Löcke, Thomas. Instance-Specific Computing in Hard- and Software for Faster Solving of Complex Problems. Universität Paderborn, 2015.

Wallaschek, Felix. Accelerating Programmable Logic Controllers with the Use of FPGAs. Universität Paderborn, 2015.