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M. Lass, Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Paderborn: Universität Paderborn, 2022.
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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 .
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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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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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arXiv: 2104.08245

H. Farheen, T. Leuteritz, S. Linden, V. Myroshnychenko, and J. Förstner, “Optimization of optical waveguide antennas for directive emission of  light,” arXiv:2106.02468. 2021.
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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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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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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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A. Ramaswami, T. Kenter, T. Kühne, and C. Plessl, “Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing,” in Applied Reconfigurable Computing. Architectures, Tools, and Applications, Cham: Springer International Publishing, 2021.
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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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T. Kenter, A. Shambhu, S. Faghih-Naini, and V. Aizinger, “Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA,”10.1145/3468267.3470617__2021, doi:10.1145/3468267.3470617 .
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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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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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M. Lass, R. Schade, T. Kühne, and C. Plessl, “A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK,”10.1109/SC41405.2020.00084__in Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), Atlanta, GA, US, 2020, pp. 1127–1140, doi:10.1109/SC41405.2020.00084 .
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M. Meyer, T. Kenter, and C. Plessl, “Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite,”10.1109/h2rc51942.2020.00007__2020, doi:10.1109/h2rc51942.2020.00007 .
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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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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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P. Gorlani, T. Kenter, and C. Plessl, “OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs,” in Proceedings of the International Conference on Field-Programmable Technology (FPT), 2019.
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H. Riebler, Efficient parallel branch-and-bound search on FPGAs using work stealing and instance-specific designs. 2019.
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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 .
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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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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.
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A. Keller, “A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems,” in Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), Orlando, FL, USA, 2018, vol. 10773, pp. 132–151.
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T. Filmwala, Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate it on FPGA Platform. Universität Paderborn, 2018.
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O. Gadewar, Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL. Universität Paderborn, 2018.
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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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