R. Schade, C. Bauer, K. Tamoev, L. Mazur, C. Plessl, and T. Kühne, “Parallel quantum chemistry on noisy intermediate-scale quantum computers,”10.1103/PhysRevResearch.4.033160__Phys. Rev. Research, vol. 4, p. 033160, 2022, doi:10.1103/PhysRevResearch.4.033160 .
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DOI: 10.1103/PhysRevResearch.4.033160

R. Schade 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, Art. no. 102920, 2022, doi:10.1016/j.parco.2022.102920 .
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DOI: 10.1016/j.parco.2022.102920

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,”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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DOI: 10.1016/j.jpdc.2021.10.007

M. Moroder 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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DOI: 10.1103/PhysRevB.107.214310
arXiv: 2207.08243

N. Borghini, M. Borrell, N. Feld, H. Roch, S. Schlichting, and C. Werthmann, “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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DOI: 10.1103/PhysRevC.107.034905
arXiv: 2209.01176

E. Lesch 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, pp. 9966–9983, 2022, doi:10.1093/nar/gkac752 .
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DOI: 10.1093/nar/gkac752

J. Menzel, C. Plessl, and T. Kenter, “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, pp. 1–30, 2021, doi:10.1145/3491235 .
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DOI: 10.1145/3491235

L. Dabelow, S. Bo, and R. Eichhorn, “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, Art. no. 033216, 2021, doi:10.1088/1742-5468/abe6fd .
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DOI: 10.1088/1742-5468/abe6fd

O. Kaczmarek, L. Mazur, and S. Sharma, “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, Art. no. 094518, 2021, doi:10.1103/physrevd.104.094518 .
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DOI: 10.1103/physrevd.104.094518

L. Altenkort, A. M. Eller, O. Kaczmarek, L. Mazur, G. D. Moore, and H.-T. Shu, “Heavy quark momentum diffusion from the lattice using gradient flow,”10.1103/physrevd.103.014511__Physical Review D, vol. 103, no. 1, Art. no. 014511, 2021, doi:10.1103/physrevd.103.014511 .
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DOI: 10.1103/physrevd.103.014511

L. Altenkort, A. M. Eller, O. Kaczmarek, L. Mazur, G. D. Moore, and H.-T. Shu, “Sphaleron rate from Euclidean lattice correlators: An exploration,”10.1103/physrevd.103.114513__Physical Review D, vol. 103, no. 11, Art. no. 114513, 2021, doi:10.1103/physrevd.103.114513 .
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DOI: 10.1103/physrevd.103.114513

S. Alhaddad et al., “The HighPerMeshes framework for numerical algorithms on unstructured grids,”10.1002/cpe.6616__Concurrency and Computation: Practice and Experience, p. e6616, 2021, doi:10.1002/cpe.6616 .
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DOI: 10.1002/cpe.6616

R. S. Chatwell, G. Guevara-Carrion, Y. Gaponenko, V. Shevtsova, and J. Vrabec, “Diffusion of the carbon dioxide–ethanol mixture in the extended critical region,”10.1039/d0cp04985a__Physical Chemistry Chemical Physics, vol. 23, no. 4, pp. 3106–3115, 2021, doi:10.1039/d0cp04985a .
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H. Mirhosseini, R. Kormath Madam Raghupathy, S. K. Sahoo, H. Wiebeler, M. Chugh, and T. D. Kühne, “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, pp. 26682–26701, 2020, doi:10.1039/d0cp04712k .
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DOI: 10.1039/d0cp04712k

T. Kühne 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, Art. no. 194103, 2020, doi:10.1063/5.0007045 .
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DOI: 10.1063/5.0007045
arXiv: 2003.03868

V. Rengaraj, M. Lass, C. Plessl, and T. Kühne, “Accurate Sampling with Noisy Forces from Approximate Computing,”10.3390/computation8020039__Computation, vol. 8, no. 2, Art. no. 39, 2020, doi:10.3390/computation8020039 .
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DOI: 10.3390/computation8020039
arXiv: 1907.08497

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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DOI: 10.1145/3319423

D. Richters, M. Lass, A. Walther, C. Plessl, and T. Kühne, “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, pp. 564–585, 2019, doi:10.4208/cicp.OA-2018-0053 .
LibreCat: /record/21
DOI: 10.4208/cicp.OA-2018-0053
arXiv: 1703.02456

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

M. Lass, T. Kühne, and C. Plessl, “Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots,” Embedded Systems Letters, vol. 10, no. 2, pp. 33–36, 2018.
LibreCat: /record/20
DOI: 10.1109/LES.2017.2760923
arXiv: 1703.02283

J. C. Mertens, A. Boschmann, M. Schmidt, and C. Plessl, “Sprint diagnostic with GPS and inertial sensor fusion,” Sports Engineering, vol. 21, no. 4, pp. 441–451, 2018.
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DOI: 10.1007/s12283-018-0291-0

S. M. H. Luk 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, Art. no. 146, 2018, doi:10.1364/josab.35.000146 .
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DOI: 10.1364/josab.35.000146

H. Riebler, M. Lass, R. Mittendorf, T. Löcke, and C. Plessl, “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, p. 24:1-24:23, 2017, doi:10.1145/3053687 .
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DOI: 10.1145/3053687

J. Schumacher, C. Plessl, and W. Vandelli, “High-Throughput and Low-Latency Network Communication with NetIO,”10.1088/1742-6596/898/8/082003__Journal of Physics: Conference Series, vol. 898, Art. no. 082003, 2017, doi:10.1088/1742-6596/898/8/082003 .
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DOI: 10.1088/1742-6596/898/8/082003

G. F. Vaz, H. Riebler, T. Kenter, and C. Plessl, “Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code,”10.1016/j.compeleceng.2016.04.021__Computers and Electrical Engineering, vol. 55, pp. 91–111, 2016, doi:10.1016/j.compeleceng.2016.04.021 .
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S. Hegler et al., “Simulative Ultraschall-Untersuchung von Pitch-Catch-Messanordnungen für große zylindrische Stahl-Prüflinge und gradientenbasierte Bildgebung,” tm - Technisches Messen, vol. 82, no. 9, pp. 440–450, 2015.
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J. Torresen, C. Plessl, and X. Yao, “Self-Aware and Self-Expressive Systems – Guest Editor’s Introduction,” IEEE Computer, vol. 48, no. 7, pp. 18–20, 2015.
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S. Peitz and M. Dellnitz, “Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction,” PAMM, vol. 15, no. 1, pp. 613–614, 2015.
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T. Kenter, H. Schmitz, and C. Plessl, “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, Art. no. 859425, 2015, doi:10.1155/2015/859425 .
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DOI: 10.1155/2015/859425

C. Plessl, M. Platzner, and P. J. Schreier, “Aktuelles Schlagwort: Approximate Computing,”10.1007/s00287-015-0911-z__Informatik Spektrum, no. 5, pp. 396–399, 2015, doi:10.1007/s00287-015-0911-z .
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DOI: 10.1007/s00287-015-0911-z

J. Anderson et al., “FELIX: a High-Throughput Network Approach for Interfacing to Front End Electronics for ATLAS Upgrades,”10.1088/1742-6596/664/8/082050__Journal of Physics: Conference Series, vol. 664, Art. no. 082050, 2015, doi:10.1088/1742-6596/664/8/082050 .
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A. Agne, H. Hangmann, M. Happe, M. Platzner, and C. Plessl, “Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators,”10.1016/j.micpro.2013.12.001__Microprocessors and Microsystems, vol. 38, no. 8, Part B, pp. 911–919, 2014, doi:10.1016/j.micpro.2013.12.001 .
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DOI: 10.1016/j.micpro.2013.12.001

A. Agne, M. Happe, A. Lösch, C. Plessl, and M. Platzner, “Self-awareness as a Model for Designing and Operating Heterogeneous Multicores,”10.1145/2617596__ACM Transactions on Reconfigurable Technology and Systems (TRETS), vol. 7, no. 2, Art. no. 13, 2014, doi:10.1145/2617596 .
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DOI: 10.1145/2617596

A. Agne et al., “ReconOS - An Operating System Approach for Reconfigurable Computing,”10.1109/MM.2013.110__IEEE Micro, vol. 34, no. 1, pp. 60–71, 2014, doi:10.1109/MM.2013.110 .
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DOI: 10.1109/MM.2013.110

H. Giefers, C. Plessl, and J. Förstner, “Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers,”10.1145/2641361.2641372__ACM SIGARCH Computer Architecture News, vol. 41, no. 5, pp. 65–70, 2014, doi:10.1145/2641361.2641372 .
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S. Kasap and S. Redif, “Novel Field-Programmable Gate Array Architecture for Computing the Eigenvalue Decomposition of Para-Hermitian Polynomial Matrices,” IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 22, no. 3, pp. 522–536, 2013.
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O. Niehörster, J. Simon, A. Brinkmann, A. Keller, and J. Krüger, “Cost-aware and SLO Fulfilling Software as a Service,” Journal of Grid Computing, vol. 10, no. 3, pp. 553–577, 2012.
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S. Gesing et al., “A Single Sign-On Infrastructure for Science Gateways on a Use Case for Structural Bioinformatics,” Journal of Grid Computing, vol. 10, no. 4, pp. 769–790, 2012.
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K. Thielemans et al., “STIR: Software for Tomographic Image Reconstruction Release 2,” Physics in Medicine and Biology, vol. 57, no. 4, pp. 867–883, 2012.
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S. Redif and S. Kasap, “Parallel algorithm for computation of second-order sequential best rotations,” Int. Journal of Electronics, vol. 100, no. 12, pp. 1646–1651, 2012.
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S. Kasap and K. Benkrid, “Parallel Processor Design and Implementation for Molecular Dynamics Simulations on a FPGA Parallel Computer,” Journal of Computers, vol. 7, no. 6, pp. 1312–1328, 2012.
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S. Herres-Pawlis et al., “Workflow-enhanced conformational analysis of guanidine zinc complexes via a science gateway,” Studies in Health Technology and Informatics, vol. 175, pp. 142–151, 2012.
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T. Schumacher, C. Plessl, and M. Platzner, “IMORC: An Infrastructure and Architecture Template for Implementing High-Performance Reconfigurable FPGA Accelerators,”10.1016/j.micpro.2011.04.002__Microprocessors and Microsystems, vol. 36, no. 2, pp. 110–126, 2012, doi:10.1016/j.micpro.2011.04.002 .
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M. Grad and C. Plessl, “On the Feasibility and Limitations of Just-In-Time Instruction Set Extension for FPGA-based Reconfigurable Processors,”10.1155/2012/418315__Int. Journal of Reconfigurable Computing (IJRC), 2012, doi:10.1155/2012/418315 .
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G. Birkenheuer et al., “Virtualized HPC: a contradiction in terms?,” Software: Practice and Experience, 2011.
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G. Birkenheuer et al., “Infrastructure Federation Through Virtualized Delegation of Resources and Services,” Journal of Grid Computing, vol. 9, no. 3, pp. 355–377, 2011.
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T. Schumacher, T. Süß, C. Plessl, and M. Platzner, “FPGA Acceleration of Communication-bound Streaming Applications: Architecture Modeling and a 3D Image Compositing Case Study,”10.1155/2011/760954__Int. Journal of Recon- figurable Computing (IJRC), 2011, doi:10.1155/2011/760954 .
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A. Brinkmann, D. Battré, G. Birkenheuer, O. Kao, and K. Voß, “Risikomanagement für verteilte Umgebungen,” ForschungsForum Paderborn, vol. 13, no. 13, 2010.
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A. Brinkmann and D. Eschweiler, “A Microdriver Architecture for Error Correcting Codes inside the Linux Kernel,” Journal of Supercomputing, pp. 35:1-35:10, 2009.
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S. Groppe, S. Böttcher, G. Birkenheuer, and A. Höing, “Reformulating XPath queries and XSLT queries on XSLT views,” Data &; Knowledge Engineering, vol. 57, no. 1, pp. 64–110, 2006.
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