Michael Laß
Paderborn Center for Parallel Computing (PC2)
Hochleistungsrechnen
michael.lass@uni-paderborn.deID
19 Publications
2025 | Journal Article | LibreCat-ID: 53202 |

Schapeler, Timon, Robert Schade, Michael Lass, Christian Plessl, and Tim Bartley. “Scalable Quantum Detector Tomography by High-Performance Computing.” Quantum Science and Technology 10, no. 1 (2025). https://doi.org/10.1088/2058-9565/ad8511.
LibreCat
| DOI
| Download (ext.)
| arXiv
2024 | Journal Article | LibreCat-ID: 53474
Lass, Michael, Tobias Kenter, Christian Plessl, and Martin Brehm. “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations.” Entropy 26, no. 4 (2024). https://doi.org/10.3390/e26040322.
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 53663 |

Bauer, Carsten, Tobias Kenter, Michael Lass, Lukas Mazur, Marius Meyer, Holger Nitsche, Heinrich Riebler, et al. “Noctua 2 Supercomputer.” Journal of Large-Scale Research Facilities 9 (2024). https://doi.org/10.17815/jlsrf-8-187 .
LibreCat
| Files available
| DOI
2024 | Journal Article | LibreCat-ID: 56604 |

Van Hirtum, Lennart, Patrick De Causmaecker, Jens Goemaere, Tobias Kenter, Heinrich Riebler, Michael Lass, and Christian Plessl. “A Computation of the Ninth Dedekind Number Using FPGA Supercomputing.” ACM Transactions on Reconfigurable Technology and Systems 17, no. 3 (2024): 1–28. https://doi.org/10.1145/3674147.
LibreCat
| DOI
| Download (ext.)
2023 | Journal Article | LibreCat-ID: 45361 |

Schade, Robert, Tobias Kenter, Hossam Elgabarty, Michael Lass, Thomas Kühne, and Christian Plessl. “Breaking the Exascale Barrier for the Electronic Structure Problem in Ab-Initio Molecular Dynamics.” The International Journal of High Performance Computing Applications, 2023. https://doi.org/10.1177/10943420231177631.
LibreCat
| DOI
| Download (ext.)
2022 | Dissertation | LibreCat-ID: 32414
Lass, Michael. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Paderborn: Universität Paderborn, 2022. https://doi.org/10.17619/UNIPB/1-1281.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 33684 |

Schade, Robert, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.” Parallel Computing 111 (2022). https://doi.org/10.1016/j.parco.2022.102920.
LibreCat
| DOI
| Download (ext.)
2020 | Journal Article | LibreCat-ID: 16277 |

Kühne, Thomas, Marcella Iannuzzi, Mauro Del Ben, Vladimir V. Rybkin, Patrick Seewald, Frederick Stein, Teodoro Laino, et al. “CP2K: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.” The Journal of Chemical Physics 152, no. 19 (2020). https://doi.org/10.1063/5.0007045.
LibreCat
| Files available
| DOI
| Download (ext.)
| arXiv
2020 | Conference Paper | LibreCat-ID: 16898
Lass, Michael, Robert Schade, Thomas Kühne, and Christian 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), 1127–40. Los Alamitos, CA, USA: IEEE Computer Society, 2020. https://doi.org/10.1109/SC41405.2020.00084.
LibreCat
| DOI
| Download (ext.)
| arXiv
2020 | Journal Article | LibreCat-ID: 12878 |

Rengaraj, Varadarajan, Michael Lass, Christian Plessl, and Thomas Kühne. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation 8, no. 2 (2020). https://doi.org/10.3390/computation8020039.
LibreCat
| DOI
| Download (ext.)
| arXiv
2019 | Journal Article | LibreCat-ID: 21
Richters, Dorothee, Michael Lass, Andrea Walther, Christian Plessl, and Thomas Kühne. “A General Algorithm to Calculate the Inverse Principal P-Th Root of Symmetric Positive Definite Matrices.” Communications in Computational Physics 25, no. 2 (2019): 564–85. https://doi.org/10.4208/cicp.OA-2018-0053.
LibreCat
| DOI
| arXiv
2018 | Journal Article | LibreCat-ID: 20
Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.” Embedded Systems Letters 10, no. 2 (2018): 33–36. https://doi.org/10.1109/LES.2017.2760923.
LibreCat
| DOI
| arXiv
2018 | Conference Paper | LibreCat-ID: 1590
Lass, Michael, Stephan Mohr, Hendrik Wiebeler, Thomas Kühne, and Christian Plessl. “A Massively Parallel Algorithm for the Approximate Calculation of Inverse P-Th Roots of Large Sparse Matrices.” In Proc. Platform for Advanced Scientific Computing (PASC) Conference. New York, NY, USA: ACM, 2018. https://doi.org/10.1145/3218176.3218231.
LibreCat
| DOI
| arXiv
2017 | Journal Article | LibreCat-ID: 18
Riebler, Heinrich, Michael Lass, Robert Mittendorf, Thomas Löcke, and Christian Plessl. “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs.” ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10, no. 3 (2017): 24:1-24:23. https://doi.org/10.1145/3053687.
LibreCat
| Files available
| DOI
2016 | Conference Paper | LibreCat-ID: 19
Lass, Michael, Dominik Leibenger, and Christoph Sorge. “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension.” In Proc. 41st Conference on Local Computer Networks (LCN). IEEE, 2016. https://doi.org/10.1109/lcn.2016.11.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 25
Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate Computing in Scientific Codes.” In Workshop on Approximate Computing (AC), 2016.
LibreCat
2015 | Mastersthesis | LibreCat-ID: 1794
Lass, Michael. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University, 2015.
LibreCat
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass, Michael. Sichere Speicherung Vertraulicher Daten in Verteilten Versionskontrollsystemen. Paderborn: Paderborn University, 2013.
LibreCat
Search
Filter Publications
Display / Sort
Export / Embed
19 Publications
2025 | Journal Article | LibreCat-ID: 53202 |

Schapeler, Timon, Robert Schade, Michael Lass, Christian Plessl, and Tim Bartley. “Scalable Quantum Detector Tomography by High-Performance Computing.” Quantum Science and Technology 10, no. 1 (2025). https://doi.org/10.1088/2058-9565/ad8511.
LibreCat
| DOI
| Download (ext.)
| arXiv
2024 | Journal Article | LibreCat-ID: 53474
Lass, Michael, Tobias Kenter, Christian Plessl, and Martin Brehm. “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations.” Entropy 26, no. 4 (2024). https://doi.org/10.3390/e26040322.
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 53663 |

Bauer, Carsten, Tobias Kenter, Michael Lass, Lukas Mazur, Marius Meyer, Holger Nitsche, Heinrich Riebler, et al. “Noctua 2 Supercomputer.” Journal of Large-Scale Research Facilities 9 (2024). https://doi.org/10.17815/jlsrf-8-187 .
LibreCat
| Files available
| DOI
2024 | Journal Article | LibreCat-ID: 56604 |

Van Hirtum, Lennart, Patrick De Causmaecker, Jens Goemaere, Tobias Kenter, Heinrich Riebler, Michael Lass, and Christian Plessl. “A Computation of the Ninth Dedekind Number Using FPGA Supercomputing.” ACM Transactions on Reconfigurable Technology and Systems 17, no. 3 (2024): 1–28. https://doi.org/10.1145/3674147.
LibreCat
| DOI
| Download (ext.)
2023 | Journal Article | LibreCat-ID: 45361 |

Schade, Robert, Tobias Kenter, Hossam Elgabarty, Michael Lass, Thomas Kühne, and Christian Plessl. “Breaking the Exascale Barrier for the Electronic Structure Problem in Ab-Initio Molecular Dynamics.” The International Journal of High Performance Computing Applications, 2023. https://doi.org/10.1177/10943420231177631.
LibreCat
| DOI
| Download (ext.)
2022 | Dissertation | LibreCat-ID: 32414
Lass, Michael. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Paderborn: Universität Paderborn, 2022. https://doi.org/10.17619/UNIPB/1-1281.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 33684 |

Schade, Robert, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.” Parallel Computing 111 (2022). https://doi.org/10.1016/j.parco.2022.102920.
LibreCat
| DOI
| Download (ext.)
2020 | Journal Article | LibreCat-ID: 16277 |

Kühne, Thomas, Marcella Iannuzzi, Mauro Del Ben, Vladimir V. Rybkin, Patrick Seewald, Frederick Stein, Teodoro Laino, et al. “CP2K: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.” The Journal of Chemical Physics 152, no. 19 (2020). https://doi.org/10.1063/5.0007045.
LibreCat
| Files available
| DOI
| Download (ext.)
| arXiv
2020 | Conference Paper | LibreCat-ID: 16898
Lass, Michael, Robert Schade, Thomas Kühne, and Christian 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), 1127–40. Los Alamitos, CA, USA: IEEE Computer Society, 2020. https://doi.org/10.1109/SC41405.2020.00084.
LibreCat
| DOI
| Download (ext.)
| arXiv
2020 | Journal Article | LibreCat-ID: 12878 |

Rengaraj, Varadarajan, Michael Lass, Christian Plessl, and Thomas Kühne. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation 8, no. 2 (2020). https://doi.org/10.3390/computation8020039.
LibreCat
| DOI
| Download (ext.)
| arXiv
2019 | Journal Article | LibreCat-ID: 21
Richters, Dorothee, Michael Lass, Andrea Walther, Christian Plessl, and Thomas Kühne. “A General Algorithm to Calculate the Inverse Principal P-Th Root of Symmetric Positive Definite Matrices.” Communications in Computational Physics 25, no. 2 (2019): 564–85. https://doi.org/10.4208/cicp.OA-2018-0053.
LibreCat
| DOI
| arXiv
2018 | Journal Article | LibreCat-ID: 20
Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.” Embedded Systems Letters 10, no. 2 (2018): 33–36. https://doi.org/10.1109/LES.2017.2760923.
LibreCat
| DOI
| arXiv
2018 | Conference Paper | LibreCat-ID: 1590
Lass, Michael, Stephan Mohr, Hendrik Wiebeler, Thomas Kühne, and Christian Plessl. “A Massively Parallel Algorithm for the Approximate Calculation of Inverse P-Th Roots of Large Sparse Matrices.” In Proc. Platform for Advanced Scientific Computing (PASC) Conference. New York, NY, USA: ACM, 2018. https://doi.org/10.1145/3218176.3218231.
LibreCat
| DOI
| arXiv
2017 | Journal Article | LibreCat-ID: 18
Riebler, Heinrich, Michael Lass, Robert Mittendorf, Thomas Löcke, and Christian Plessl. “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs.” ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10, no. 3 (2017): 24:1-24:23. https://doi.org/10.1145/3053687.
LibreCat
| Files available
| DOI
2016 | Conference Paper | LibreCat-ID: 19
Lass, Michael, Dominik Leibenger, and Christoph Sorge. “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension.” In Proc. 41st Conference on Local Computer Networks (LCN). IEEE, 2016. https://doi.org/10.1109/lcn.2016.11.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 25
Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate Computing in Scientific Codes.” In Workshop on Approximate Computing (AC), 2016.
LibreCat
2015 | Mastersthesis | LibreCat-ID: 1794
Lass, Michael. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University, 2015.
LibreCat
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass, Michael. Sichere Speicherung Vertraulicher Daten in Verteilten Versionskontrollsystemen. Paderborn: Paderborn University, 2013.
LibreCat