Lass, M., Kenter, T., Plessl, C., &; Brehm, M. (2024). Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations. Entropy, 26(4), Article 322.https://doi.org/10.3390/e26040322 

Bauer, C., Kenter, T., Lass, M., Mazur, L., Meyer, M., Nitsche, H., Riebler, H., Schade, R., Schwarz, M., Winnwa, N., Wiens, A., Wu, X., Plessl, C., &; Simon, J. (2024). Noctua 2 Supercomputer. Journal of Large-Scale Research Facilities, 9.https://doi.org/10.17815/jlsrf-8-187  

Schade, R., Kenter, T., Elgabarty, H., Lass, M., Kühne, T., &; Plessl, C. (2023). Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications, Article 109434202311776.https://doi.org/10.1177/10943420231177631 

Meyer, M., Kenter, T., &; Plessl, C. (2023). Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. ACM Transactions on Reconfigurable Technology and Systems.https://doi.org/10.1145/3576200 

Mazur, L., Bollweg, D., Clarke, D. A., Altenkort, L., Kaczmarek, O., Larsen, R., Shu, H.-T., Goswami, J., Scior, P., Sandmeyer, H., Neumann, M., Dick, H., Ali, S., Kim, J., Schmidt, C., Petreczky, P., &; Mukherjee, S. (2023). SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations. Computer Physics Communications.https://doi.org/10.48550/ARXIV.2306.01098 

Altenkort, L., Eller, A. M., Francis, A., Kaczmarek, O., Mazur, L., Moore, G. D., &; Shu, H.-T. (2023). Viscosity of pure-glue QCD from the lattice. Physical Review D, 108(1), Article 014503.https://doi.org/10.1103/physrevd.108.014503 

Wojciechowski, M. (2022). Dataset for random uniform distributions of 2D circles and 3D spheres. Data Brief, 43, 108318.

Meyer, M., Kenter, T., &; Plessl, C. (2022). 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.https://doi.org/10.1016/j.jpdc.2021.10.007 

Altenkort, L., Eller, A. M., Kaczmarek, O., Mazur, L., Moore, G. D., &; Shu, H.-T. (2022). Lattice QCD noise reduction for bosonic correlators through blocking. Physical Review D, 105(9), Article 094505.https://doi.org/10.1103/physrevd.105.094505 

Hou, W., Yao, Y., Li, Y., Peng, B., Shi, K., Zhou, Z., Pan, J., Liu, M., &; Hu, J. (2022). Linearly shifting ferromagnetic resonance response of L.7Sr0.3MnO3 thin film for body temperature sensors. Frontiers of Materials Science, 16(1).

Jonas, B., Heinze, D. F., Schöll, E., Kallert, P., Langer, T., Krehs, S., Widhalm, A., Jöns, K., Reuter, D., Schumacher, S., &; Zrenner, A. (2022). Nonlinear down-conversion in a single quantum dot. Nature Communications, 13(1), Article 1387.https://doi.org/10.1038/s41467-022-28993-3 

Schade, R., Bauer, C., Tamoev, K., Mazur, L., Plessl, C., &; Kühne, T. (2022). Parallel quantum chemistry on noisy intermediate-scale quantum computers. Phys. Rev. Research, 4, 033160.https://doi.org/10.1103/PhysRevResearch.4.033160 

Lesch, E., Schilling, M. T., Brenner, S., Yang, Y., Gruss, O. J., Knoop, V., &; Schallenberg-Rüdinger, M. (2022). Plant mitochondrial RNA editing factors can perform targeted C-to-U editing of nuclear transcripts in human cells. Nucleic Acids Research, 50(17), 9966–9983.https://doi.org/10.1093/nar/gkac752 

Moroder, M., Grundner, M., Damanet, F., Schollwöck, U., Mardazad, S., Flannigan, S., Köhler, T., &; Paeckel, S. (2022). Stable bipolarons in open quantum systems. Physical Review B 107, 214310 (2023).https://doi.org/10.1103/PhysRevB.107.214310 

Borghini, N., Borrell, M., Feld, N., Roch, H., Schlichting, S., &; Werthmann, C. (2022). Statistical analysis of initial state and final state response in  heavy-ion collisions. Phys. Rev. C 107 (2023) 034905.https://doi.org/10.1103/PhysRevC.107.034905 

Schade, R., Kenter, T., Elgabarty, H., Lass, M., Schütt, O., Lazzaro, A., Pabst, H., Mohr, S., Hutter, J., Kühne, T., &; Plessl, C. (2022). Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing, 111, Article 102920.https://doi.org/10.1016/j.parco.2022.102920 

Chatwell, R. S., Guevara-Carrion, G., Gaponenko, Y., Shevtsova, V., &; Vrabec, J. (2021). Diffusion of the carbon dioxide–ethanol mixture in the extended critical region. Physical Chemistry Chemical Physics, 23(4), 3106–3115.https://doi.org/10.1039/d0cp04985a 

Kaczmarek, O., Mazur, L., &; Sharma, S. (2021). 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. Physical Review D, 104(9), Article 094518.https://doi.org/10.1103/physrevd.104.094518 

Altenkort, L., Eller, A. M., Kaczmarek, O., Mazur, L., Moore, G. D., &; Shu, H.-T. (2021). Heavy quark momentum diffusion from the lattice using gradient flow. Physical Review D, 103(1), Article 014511.https://doi.org/10.1103/physrevd.103.014511 

Dabelow, L., Bo, S., &; Eichhorn, R. (2021). How irreversible are steady-state trajectories of a trapped active particle? Journal of Statistical Mechanics: Theory and Experiment, 2021(3), Article 033216.https://doi.org/10.1088/1742-5468/abe6fd 

Altenkort, L., Eller, A. M., Kaczmarek, O., Mazur, L., Moore, G. D., &; Shu, H.-T. (2021). Sphaleron rate from Euclidean lattice correlators: An exploration. Physical Review D, 103(11), Article 114513.https://doi.org/10.1103/physrevd.103.114513 

Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., Kenter, T., Pfreundt, F., Plessl, C., Schotte, M., Steinke, T., Teich, J., Weiser, M., &; Wende, F. (2021). The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurrency and Computation: Practice and Experience, e6616.https://doi.org/10.1002/cpe.6616 

Menzel, J., Plessl, C., &; Kenter, T. (2021). The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations. ACM Transactions on Reconfigurable Technology and Systems, 15(1), 1–30.https://doi.org/10.1145/3491235 

Mirhosseini, H., Kormath Madam Raghupathy, R., Sahoo, S. K., Wiebeler, H., Chugh, M., &; Kühne, T. D. (2020). In silico investigation of Cu(In,Ga)Se<sub>2</sub>-based solar cells. Physical Chemistry Chemical Physics, 22(46), 26682–26701.https://doi.org/10.1039/d0cp04712k 

Rengaraj, V., Lass, M., Plessl, C., &; Kühne, T. (2020). Accurate Sampling with Noisy Forces from Approximate Computing. Computation, 8(2), Article 39.https://doi.org/10.3390/computation8020039 

Kühne, T., Iannuzzi, M., Ben, M. D., Rybkin, V. V., Seewald, P., Stein, F., Laino, T., Khaliullin, R. Z., Schütt, O., Schiffmann, F., Golze, D., Wilhelm, J., Chulkov, S., Mohammad Hossein Bani-Hashemian, M. H. B.-H., Weber, V., Borstnik, U., Taillefumier, M., Jakobovits, A. S., Lazzaro, A.,https://doi.org/10.1063/5.0007045__Hutter, J. (2020). CK: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics, 152(19), Article 194103.https://doi.org/10.1063/5.0007045 

Richters, D., Lass, M., Walther, A., Plessl, C., &; Kühne, T. (2019). A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics, 25(2), 564–585.https://doi.org/10.4208/cicp.OA-2018-0053 

Platzner, M., &; Plessl, C. (2019). FPGAs im Rechenzentrum. Informatik Spektrum.https://doi.org/10.1007/s00287-019-01187-w 

Riebler, H., Vaz, G. F., Kenter, T., &; Plessl, C. (2019). Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL. ACM Trans. Archit. Code Optim. (TACO), 16(2), 14:1–14:26.https://doi.org/10.1145/3319423 

Mertens, J. C., Boschmann, A., Schmidt, M., &; Plessl, C. (2018). Sprint diagnostic with GPS and inertial sensor fusion. Sports Engineering, 21(4), 441–451.https://doi.org/10.1007/s12283-018-0291-0 

Luk, S. M. H., Lewandowski, P., Kwong, N. H., Baudin, E., Lafont, O., Tignon, J., Leung, P. T., Chan, Ch. K. P., Babilon, M., Schumacher, S., &; Binder, R. (2018). Theory of optically controlled anisotropic polariton transport in semiconductor double microcavities. Journal of the Optical Society of America B, 35(1), Article 146.https://doi.org/10.1364/josab.35.000146 

Lass, M., Kühne, T., &; Plessl, C. (2018). Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters, 10(2), 33–36.https://doi.org/10.1109/LES.2017.2760923 

Riebler, H., Lass, M., Mittendorf, R., Löcke, T., &; Plessl, C. (2017). Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 10(3), 24:1-24:23.https://doi.org/10.1145/3053687 

Schumacher, J., Plessl, C., &; Vandelli, W. (2017). High-Throughput and Low-Latency Network Communication with NetIO. Journal of Physics: Conference Series, 898, Article 082003.https://doi.org/10.1088/1742-6596/898/8/082003 

Vaz, G. F., Riebler, H., Kenter, T., &; Plessl, C. (2016). Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code. Computers and Electrical Engineering, 55, 91–111.https://doi.org/10.1016/j.compeleceng.2016.04.021 

Plessl, C., Platzner, M., &; Schreier, P. J. (2015). Aktuelles Schlagwort: Approximate Computing. Informatik Spektrum, 5, 396–399.https://doi.org/10.1007/s00287-015-0911-z 

Kenter, T., Schmitz, H., &; Plessl, C. (2015). Exploring Tradeoffs between Specialized Kernels and a Reusable Overlay in a Stereo-Matching Case Study. International Journal of Reconfigurable Computing (IJRC), 2015, Article 859425.https://doi.org/10.1155/2015/859425 

Anderson, J., Borga, A., Boterenbrood, H., Chen, H., Chen, K., Drake, G., Francis, D., Gorini, B., Lanni, F., Lehmann Miotto, G., Levinson, L., Narevicius, J., Plessl, C., Roich, A., Ryu, S., Schreuder, F., Schumacher, J., Vandelli, W., Vermeulen, J., &; Zhang, J. (2015). FELIX: a High-Throughput Network Approach for Interfacing to Front End Electronics for ATLAS Upgrades. Journal of Physics: Conference Series, 664, Article 082050.https://doi.org/10.1088/1742-6596/664/8/082050 

Peitz, S., &; Dellnitz, M. (2015). Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction. PAMM, 15(1), 613–614.https://doi.org/10.1002/pamm.201510296 

Torresen, J., Plessl, C., &; Yao, X. (2015). Self-Aware and Self-Expressive Systems – Guest Editor’s Introduction. IEEE Computer, 48(7), 18–20.https://doi.org/10.1109/MC.2015.205 

Hegler, S., Statz, C., Mütze, M., Mooshofer, H., Goldammer, M., Fendt, K.,https://doi.org/doi:10.1515/teme-2015-0031__Plettemeier, D. (2015). Simulative Ultraschall-Untersuchung von Pitch-Catch-Messanordnungen für große zylindrische Stahl-Prüflinge und gradientenbasierte Bildgebung. Tm - Technisches Messen, 82(9), 440–450.https://doi.org/doi:10.1515/teme-2015-0031 

Giefers, H., Plessl, C., &; Förstner, J. (2014). Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers. ACM SIGARCH Computer Architecture News, 41(5), 65–70.https://doi.org/10.1145/2641361.2641372 

Agne, A., Happe, M., Keller, A., Lübbers, E., Plattner, B., Platzner, M., &; Plessl, C. (2014). ReconOS - An Operating System Approach for Reconfigurable Computing. IEEE Micro, 34(1), 60–71.https://doi.org/10.1109/MM.2013.110 

Agne, A., Happe, M., Lösch, A., Plessl, C., &; Platzner, M. (2014). Self-awareness as a Model for Designing and Operating Heterogeneous Multicores. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 7(2), Article 13.https://doi.org/10.1145/2617596 

Agne, A., Hangmann, H., Happe, M., Platzner, M., &; Plessl, C. (2014). Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators. Microprocessors and Microsystems, 38(8, Part B), 911–919.https://doi.org/10.1016/j.micpro.2013.12.001 

Kasap, S., &; Redif, S. (2013). 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, 22(3), 522–536.https://doi.org/10.1109/TVLSI.2013.2248069 

Gesing, S., Grunzke, R., Krüger, J., Birkenheuer, G., Wewior, M., Schäfer, P.,https://doi.org/10.1007/s10723-012-9247-y__Kohlbacher, O. (2012). A Single Sign-On Infrastructure for Science Gateways on a Use Case for Structural Bioinformatics. Journal of Grid Computing, 10(4), 769–790.https://doi.org/10.1007/s10723-012-9247-y 

Niehörster, O., Simon, J., Brinkmann, A., Keller, A., &; Krüger, J. (2012). Cost-aware and SLO Fulfilling Software as a Service. Journal of Grid Computing, 10(3), 553–577.https://doi.org/10.1007/s10723-012-9230-7 

Schumacher, T., Plessl, C., &; Platzner, M. (2012). IMORC: An Infrastructure and Architecture Template for Implementing High-Performance Reconfigurable FPGA Accelerators. Microprocessors and Microsystems, 36(2), 110–126.https://doi.org/10.1016/j.micpro.2011.04.002 

Grad, M., &; Plessl, C. (2012). On the Feasibility and Limitations of Just-In-Time Instruction Set Extension for FPGA-based Reconfigurable Processors. Int. Journal of Reconfigurable Computing (IJRC).https://doi.org/10.1155/2012/418315