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

Schapeler T, Schade R, Lass M, Plessl C, Bartley T. Scalable quantum detector tomography by high-performance computing. Quantum Science and Technology. 2025;10(1). doi:10.1088/2058-9565/ad8511
LibreCat
| DOI
| Download (ext.)
| arXiv
2024 | Journal Article | LibreCat-ID: 53474
Lass M, Kenter T, Plessl C, Brehm M. Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations. Entropy. 2024;26(4). doi:10.3390/e26040322
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 53663 |

Bauer C, Kenter T, Lass M, et al. Noctua 2 Supercomputer. Journal of large-scale research facilities. 2024;9. doi:10.17815/jlsrf-8-187
LibreCat
| Files available
| DOI
2024 | Journal Article | LibreCat-ID: 56604 |

Van Hirtum L, De Causmaecker P, Goemaere J, et al. A Computation of the Ninth Dedekind Number Using FPGA Supercomputing. ACM Transactions on Reconfigurable Technology and Systems. 2024;17(3):1-28. doi:10.1145/3674147
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| DOI
| Download (ext.)
2023 | Journal Article | LibreCat-ID: 45361 |

Schade R, Kenter T, Elgabarty H, Lass M, Kühne T, Plessl C. Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications. Published online 2023. doi:10.1177/10943420231177631
LibreCat
| DOI
| Download (ext.)
2022 | Dissertation | LibreCat-ID: 32414
Lass M. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn; 2022. doi:10.17619/UNIPB/1-1281
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 33684 |

Schade R, Kenter T, Elgabarty H, et al. Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing. 2022;111. doi:10.1016/j.parco.2022.102920
LibreCat
| DOI
| Download (ext.)
2020 | Journal Article | LibreCat-ID: 16277 |

Kühne T, Iannuzzi M, Ben MD, et al. CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics. 2020;152(19). doi:10.1063/5.0007045
LibreCat
| Files available
| DOI
| Download (ext.)
| arXiv
2020 | Conference Paper | LibreCat-ID: 16898
Lass M, Schade R, Kühne T, Plessl C. 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). IEEE Computer Society; 2020:1127-1140. doi:10.1109/SC41405.2020.00084
LibreCat
| DOI
| Download (ext.)
| arXiv
2020 | Journal Article | LibreCat-ID: 12878 |

Rengaraj V, Lass M, Plessl C, Kühne T. Accurate Sampling with Noisy Forces from Approximate Computing. Computation. 2020;8(2). doi:10.3390/computation8020039
LibreCat
| DOI
| Download (ext.)
| arXiv
2019 | Journal Article | LibreCat-ID: 21
Richters D, Lass M, Walther A, Plessl C, Kühne T. A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics. 2019;25(2):564-585. doi:10.4208/cicp.OA-2018-0053
LibreCat
| DOI
| arXiv
2018 | Journal Article | LibreCat-ID: 20
Lass M, Kühne T, Plessl C. Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters. 2018;10(2):33-36. doi:10.1109/LES.2017.2760923
LibreCat
| DOI
| arXiv
2018 | Conference Paper | LibreCat-ID: 1590
Lass M, Mohr S, Wiebeler H, Kühne T, Plessl C. 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. ACM; 2018. doi:10.1145/3218176.3218231
LibreCat
| DOI
| arXiv
2017 | Journal Article | LibreCat-ID: 18
Riebler H, Lass M, Mittendorf R, Löcke T, Plessl C. Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS). 2017;10(3):24:1-24:23. doi:10.1145/3053687
LibreCat
| Files available
| DOI
2016 | Conference Paper | LibreCat-ID: 19
Lass M, Leibenger D, Sorge C. Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. In: Proc. 41st Conference on Local Computer Networks (LCN). IEEE; 2016. doi:10.1109/lcn.2016.11
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 25
Lass M, Kühne T, Plessl C. Using Approximate Computing in Scientific Codes. In: Workshop on Approximate Computing (AC). ; 2016.
LibreCat
2015 | Mastersthesis | LibreCat-ID: 1794
Lass M. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University; 2015.
LibreCat
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass M. Sichere Speicherung Vertraulicher Daten in Verteilten Versionskontrollsystemen. Paderborn: Paderborn University; 2013.
LibreCat
19 Publications
2025 | Journal Article | LibreCat-ID: 53202 |

Schapeler T, Schade R, Lass M, Plessl C, Bartley T. Scalable quantum detector tomography by high-performance computing. Quantum Science and Technology. 2025;10(1). doi:10.1088/2058-9565/ad8511
LibreCat
| DOI
| Download (ext.)
| arXiv
2024 | Journal Article | LibreCat-ID: 53474
Lass M, Kenter T, Plessl C, Brehm M. Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations. Entropy. 2024;26(4). doi:10.3390/e26040322
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 53663 |

Bauer C, Kenter T, Lass M, et al. Noctua 2 Supercomputer. Journal of large-scale research facilities. 2024;9. doi:10.17815/jlsrf-8-187
LibreCat
| Files available
| DOI
2024 | Journal Article | LibreCat-ID: 56604 |

Van Hirtum L, De Causmaecker P, Goemaere J, et al. A Computation of the Ninth Dedekind Number Using FPGA Supercomputing. ACM Transactions on Reconfigurable Technology and Systems. 2024;17(3):1-28. doi:10.1145/3674147
LibreCat
| DOI
| Download (ext.)
2023 | Journal Article | LibreCat-ID: 45361 |

Schade R, Kenter T, Elgabarty H, Lass M, Kühne T, Plessl C. Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications. Published online 2023. doi:10.1177/10943420231177631
LibreCat
| DOI
| Download (ext.)
2022 | Dissertation | LibreCat-ID: 32414
Lass M. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn; 2022. doi:10.17619/UNIPB/1-1281
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 33684 |

Schade R, Kenter T, Elgabarty H, et al. Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing. 2022;111. doi:10.1016/j.parco.2022.102920
LibreCat
| DOI
| Download (ext.)
2020 | Journal Article | LibreCat-ID: 16277 |

Kühne T, Iannuzzi M, Ben MD, et al. CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics. 2020;152(19). doi:10.1063/5.0007045
LibreCat
| Files available
| DOI
| Download (ext.)
| arXiv
2020 | Conference Paper | LibreCat-ID: 16898
Lass M, Schade R, Kühne T, Plessl C. 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). IEEE Computer Society; 2020:1127-1140. doi:10.1109/SC41405.2020.00084
LibreCat
| DOI
| Download (ext.)
| arXiv
2020 | Journal Article | LibreCat-ID: 12878 |

Rengaraj V, Lass M, Plessl C, Kühne T. Accurate Sampling with Noisy Forces from Approximate Computing. Computation. 2020;8(2). doi:10.3390/computation8020039
LibreCat
| DOI
| Download (ext.)
| arXiv
2019 | Journal Article | LibreCat-ID: 21
Richters D, Lass M, Walther A, Plessl C, Kühne T. A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics. 2019;25(2):564-585. doi:10.4208/cicp.OA-2018-0053
LibreCat
| DOI
| arXiv
2018 | Journal Article | LibreCat-ID: 20
Lass M, Kühne T, Plessl C. Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters. 2018;10(2):33-36. doi:10.1109/LES.2017.2760923
LibreCat
| DOI
| arXiv
2018 | Conference Paper | LibreCat-ID: 1590
Lass M, Mohr S, Wiebeler H, Kühne T, Plessl C. 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. ACM; 2018. doi:10.1145/3218176.3218231
LibreCat
| DOI
| arXiv
2017 | Journal Article | LibreCat-ID: 18
Riebler H, Lass M, Mittendorf R, Löcke T, Plessl C. Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS). 2017;10(3):24:1-24:23. doi:10.1145/3053687
LibreCat
| Files available
| DOI
2016 | Conference Paper | LibreCat-ID: 19
Lass M, Leibenger D, Sorge C. Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. In: Proc. 41st Conference on Local Computer Networks (LCN). IEEE; 2016. doi:10.1109/lcn.2016.11
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 25
Lass M, Kühne T, Plessl C. Using Approximate Computing in Scientific Codes. In: Workshop on Approximate Computing (AC). ; 2016.
LibreCat
2015 | Mastersthesis | LibreCat-ID: 1794
Lass M. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University; 2015.
LibreCat
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass M. Sichere Speicherung Vertraulicher Daten in Verteilten Versionskontrollsystemen. Paderborn: Paderborn University; 2013.
LibreCat