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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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Altenkort, Luis, et al. “Lattice QCD Noise Reduction for Bosonic Correlators through Blocking.”10.1103/physrevd.105.094505__Physical Review D, vol. 105, no. 9, 094505, American Physical Society (APS), 2022, doi:10.1103/physrevd.105.094505.
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Karp, Martin, et al. “A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges.”10.1145/3492805.3492808__International Conference on High Performance Computing in Asia-Pacific Region, ACM, 2022, doi:10.1145/3492805.3492808.
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Gavini, Vikram, et al. “Roadmap on Electronic Structure Codes in the Exascale Era.” ArXiv:2209.12747, 2022.
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Schade, Robert, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.”10.1016/j.parco.2022.102920__Parallel Computing, vol. 111, 102920, Elsevier BV, 2022, doi:10.1016/j.parco.2022.102920.
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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.”10.1016/j.jpdc.2021.10.007__Journal of Parallel and Distributed Computing, 2022, doi:10.1016/j.jpdc.2021.10.007.
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Moroder, Mattia, et al. “Stable Bipolarons in Open Quantum Systems.”10.1103/PhysRevB.107.214310__Physical Review B 107, 214310 (2023), 2022, doi:10.1103/PhysRevB.107.214310.
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Borghini, Nicolas, et al. “Statistical Analysis of Initial State and Final State Response in  Heavy-Ion Collisions.”10.1103/PhysRevC.107.034905__Phys. Rev. C 107 (2023) 034905, 2022, doi:10.1103/PhysRevC.107.034905.
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Lesch, Elena, et al. “Plant Mitochondrial RNA Editing Factors Can Perform Targeted C-to-U Editing of Nuclear Transcripts in Human Cells.”10.1093/nar/gkac752__Nucleic Acids Research, vol. 50, no. 17, Oxford University Press (OUP), 2022, pp. 9966–83, doi:10.1093/nar/gkac752.
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Menzel, Johannes, et al. “The Strong Scaling Advantage of FPGAs in HPC for N-Body Simulations.”10.1145/3491235__ACM Transactions on Reconfigurable Technology and Systems, vol. 15, no. 1, 2021, pp. 1–30, doi:10.1145/3491235.
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Meyer, Marius. “Towards Performance Characterization of FPGAs in Context of HPC Using OpenCL Benchmarks.”10.1145/3468044.3468058__Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2021, doi:10.1145/3468044.3468058.
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Nickchen, Tobias, et al. “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021, pp. 1994–2002.
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Dabelow, Lennart, et al. “How Irreversible Are Steady-State Trajectories of a Trapped Active Particle?”10.1088/1742-5468/abe6fd__Journal of Statistical Mechanics: Theory and Experiment, vol. 2021, no. 3, 033216, IOP Publishing, 2021, doi:10.1088/1742-5468/abe6fd.
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Schade, Robert, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms.” ArXiv:2104.08245, 2021.
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arXiv: 2104.08245

Farheen, Henna, et al. “Optimization of Optical Waveguide Antennas for Directive Emission of  Light.” ArXiv:2106.02468, 2021.
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Kaczmarek, Olaf, et al. “Eigenvalue Spectra of QCD and the Fate of &;mml:Math Xmlns:Mml="http://Www..Org/1998/Math/MathML" Display="inline"&;&;mml:Msub&;&;mml:Mi&;U&;/Mml:Mi&;&;mml:Mi&;A&;/Mml:Mi&;&;/Mml:Msub&;&;mml:Mo Stretchy="false"&;(&;/Mml:Mo&;&;mml:Mn&;1&;/Mml:Mn&;&;mml:Mo Stretchy="false"&;)&;/Mml:Mo&;&;/Mml:Math&; Breaking towards the Chiral Limit.”10.1103/physrevd.104.094518__Physical Review D, vol. 104, no. 9, 094518, American Physical Society (APS), 2021, doi:10.1103/physrevd.104.094518.
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Altenkort, Luis, et al. “Heavy Quark Momentum Diffusion from the Lattice Using Gradient Flow.”10.1103/physrevd.103.014511__Physical Review D, vol. 103, no. 1, 014511, American Physical Society (APS), 2021, doi:10.1103/physrevd.103.014511.
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Altenkort, Luis, et al. “Sphaleron Rate from Euclidean Lattice Correlators: An Exploration.”10.1103/physrevd.103.114513__Physical Review D, vol. 103, no. 11, 114513, American Physical Society (APS), 2021, doi:10.1103/physrevd.103.114513.
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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.
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Alhaddad, Samer, et al. “HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids.”10.1007/978-3-030-71593-9_15__Euro-Par 2020: Parallel Processing Workshops, 2021, doi:10.1007/978-3-030-71593-9_15.
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Ramaswami, Arjun, et al. “Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing.”10.1007/978-3-030-79025-7_21__Applied Reconfigurable Computing. Architectures, Tools, and Applications, Springer International Publishing, 2021, doi:10.1007/978-3-030-79025-7_21.
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Alhaddad, Samer, et al. “The HighPerMeshes Framework for Numerical Algorithms on Unstructured Grids.”10.1002/cpe.6616__Concurrency and Computation: Practice and Experience, 2021, p. e6616, doi:10.1002/cpe.6616.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Riebler, Heinrich. Efficient Parallel Branch-and-Bound Search on FPGAs Using Work Stealing and Instance-Specific Designs. 2019, doi:10.17619/UNIPB/1-830.
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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.
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Platzner, Marco, and Christian Plessl. “FPGAs im Rechenzentrum.”10.1007/s00287-019-01187-w__Informatik Spektrum, 2019, doi:10.1007/s00287-019-01187-w.
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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.
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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.
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Filmwala, Tasneem. Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate It on FPGA Platform. Universität Paderborn, 2018.
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Gadewar, Onkar. Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL. Universität Paderborn, 2018.
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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.
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Ramaswami, Arjun. Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA. Universität Paderborn, 2018.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Steinle, Tobias. Modeling and Simulation of Metallic, Particle-Damped Spheres for Lightweight Materials. 2016.
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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.
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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.
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Tölke, Christian. Sicherheit von Hybriden FPGA-Systemen in Der Industriellen Automatisierungstechnik -- Anforderungen Und Umsetzung. Universität Paderborn, 2016.
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Wüllrich, Gunnar. Dynamic OpenCL Task Scheduling for Energy and Performance in a Heterogeneous Environment. Universität Paderborn, 2016.
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Kenter, Tobias. Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn, 2016.
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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.
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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.
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Kenter, Tobias, and Christian Plessl. “Microdisk Cavity FDTD Simulation on FPGA Using OpenCL.” Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC), 2016.
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Lass, Michael, et al. “Using Approximate Computing in Scientific Codes.” Workshop on Approximate Computing (AC), 2016.
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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.
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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.
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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.
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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.
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Kenter, Tobias, et al. “Opportunities for Deferring Application Partitioning and Accelerator Synthesis to Runtime (Extended Abstract).” Workshop on Reconfigurable Computing (WRC), 2016.
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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.
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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.
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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.
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Lass, Michael. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn University, 2015.
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Funke, Lukas. An LLVM Based Toolchain for Transparent Acceleration of Digital Image Processing Applications Using FPGA Overlay Architectures. Universität Paderborn, 2015.
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Löcke, Thomas. Instance-Specific Computing in Hard- and Software for Faster Solving of Complex Problems. Universität Paderborn, 2015.
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Wallaschek, Felix. Accelerating Programmable Logic Controllers with the Use of FPGAs. Universität Paderborn, 2015.
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Beisel, Tobias. Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing. Logos Verlag Berlin GmbH, 2015.
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Kenter, Tobias, et al. “Exploring Tradeoffs between Specialized Kernels and a Reusable Overlay in a Stereo-Matching Case Study.”10.1155/2015/859425__International Journal of Reconfigurable Computing (IJRC), vol. 2015, 859425, Hindawi, 2015, doi:10.1155/2015/859425.
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Damschen, Marvin, and Christian Plessl. “Easy-to-Use On-The-Fly Binary Program Acceleration on Many-Cores.” Proceedings of the 5th International Workshop on Adaptive Self-Tuning Computing Systems (ADAPT), 2015.
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Schumacher, Jörn, et al. “Improving Packet Processing Performance in the ATLAS FELIX Project – Analysis and Optimization of a Memory-Bounded Algorithm.”10.1145/2675743.2771824__Proc. Int. Conf. on Distributed Event-Based Systems (DEBS), ACM, 2015, doi:10.1145/2675743.2771824.
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