M. Lass, T. Kenter, C. Plessl, and M. Brehm, “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations,”10.3390/e26040322__Entropy, vol. 26, no. 4, Art. no. 322, 2024, doi:10.3390/e26040322 .

C. Bauer et al., “Noctu Supercomputer,”10.17815/jlsrf-8-187 __Journal of large-scale research facilities, vol. 9, 2024, doi:10.17815/jlsrf-8-187  .

R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, and C. Plessl, “Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics,”10.1177/10943420231177631__The International Journal of High Performance Computing Applications, Art. no. 109434202311776, 2023, doi:10.1177/10943420231177631 .

M. Meyer, T. Kenter, and C. Plessl, “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks,”10.1145/3576200__ACM Transactions on Reconfigurable Technology and Systems, 2023, doi:10.1145/3576200 .

L. Mazur et al., “SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations,”10.48550/ARXIV.2306.01098__Computer Physics Communications, 2023, doi:10.48550/ARXIV.2306.01098 .

L. Altenkort et al., “Viscosity of pure-glue QCD from the lattice,”10.1103/physrevd.108.014503__Physical Review D, vol. 108, no. 1, Art. no. 014503, 2023, doi:10.1103/physrevd.108.014503 .

M. Wojciechowski, “Dataset for random uniform distributions of 2D circles and 3D spheres.,” Data Brief, vol. 43, p. 108318, 2022.

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 .

L. Altenkort, A. M. Eller, O. Kaczmarek, L. Mazur, G. D. Moore, and H.-T. Shu, “Lattice QCD noise reduction for bosonic correlators through blocking,”10.1103/physrevd.105.094505__Physical Review D, vol. 105, no. 9, Art. no. 094505, 2022, doi:10.1103/physrevd.105.094505 .

W. Hou et al., “Linearly shifting ferromagnetic resonance response of L.7Sr0.3MnO3 thin film for body temperature sensors,” Frontiers of materials science, vol. 16, no. 1, 2022.

B. Jonas et al., “Nonlinear down-conversion in a single quantum dot,”10.1038/s41467-022-28993-3__Nature Communications, vol. 13, no. 1, Art. no. 1387, 2022, doi:10.1038/s41467-022-28993-3 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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

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.

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.

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 .

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.

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 .

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 .

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 .

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 .

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 .

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 .

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.

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.

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.

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 .

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 .

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 .

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 .

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.

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.

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.

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 .

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 .