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18 Publications
2024 | Journal Article | LibreCat-ID: 53474
M. Lass, T. Kenter, C. Plessl, and M. Brehm, “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations,” Entropy, vol. 26, no. 4, Art. no. 322, 2024, doi: 10.3390/e26040322.
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| DOI
2024 | Journal Article | LibreCat-ID: 53663 | 
C. Bauer et al., “Noctua 2 Supercomputer,” Journal of large-scale research facilities, vol. 9, 2024, doi: 10.17815/jlsrf-8-187 .
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2023 | Journal Article | LibreCat-ID: 45361 |
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,” The International Journal of High Performance Computing Applications, Art. no. 109434202311776, 2023, doi: 10.1177/10943420231177631.
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2022 | Journal Article | LibreCat-ID: 33684 |
R. Schade et al., “Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms,” Parallel Computing, vol. 111, Art. no. 102920, 2022, doi: 10.1016/j.parco.2022.102920.
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2020 | Conference Paper | LibreCat-ID: 16898
M. Lass, R. Schade, T. Kühne, and C. Plessl, “A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K,” 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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| arXiv
2020 | Journal Article | LibreCat-ID: 12878 |
V. Rengaraj, M. Lass, C. Plessl, and T. Kühne, “Accurate Sampling with Noisy Forces from Approximate Computing,” Computation, vol. 8, no. 2, Art. no. 39, 2020, doi: 10.3390/computation8020039.
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| arXiv
2020 | Journal Article | LibreCat-ID: 16277 |
T. Kühne et al., “CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations,” The Journal of Chemical Physics, vol. 152, no. 19, Art. no. 194103, 2020, doi: 10.1063/5.0007045.
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| arXiv
2019 | Journal Article | LibreCat-ID: 21
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,” Communications in Computational Physics, vol. 25, no. 2, pp. 564–585, 2019, doi: 10.4208/cicp.OA-2018-0053.
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| DOI
| arXiv
2018 | Conference Paper | LibreCat-ID: 1590
M. Lass, S. Mohr, H. Wiebeler, T. Kühne, and C. Plessl, “A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices,” presented at the Platform for Advanced Scientific Computing Conference (PASC), Basel, Switzerland, 2018, doi: 10.1145/3218176.3218231.
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| DOI
| arXiv
2017 | Journal Article | LibreCat-ID: 18
H. Riebler, M. Lass, R. Mittendorf, T. Löcke, and C. Plessl, “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs,” 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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2016 | Conference Paper | LibreCat-ID: 25
M. Lass, T. Kühne, and C. Plessl, “Using Approximate Computing in Scientific Codes,” 2016.
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2015 | Mastersthesis | LibreCat-ID: 1794
M. Lass, Localization and Analysis of Code Paths Suitable for Acceleration using Approximate Computing. Paderborn: Paderborn University, 2015.
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2013 | Bachelorsthesis | LibreCat-ID: 1795
M. Lass, Sichere Speicherung vertraulicher Daten in verteilten Versionskontrollsystemen. Paderborn: Paderborn University, 2013.
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