Michael Laß

Paderborn Center for Parallel Computing (PC2)
Hochleistungsrechnen
michael.lass@uni-paderborn.de
ID
24135

19 Publications

Mark all

[19]
2025 | Journal Article | LibreCat-ID: 53202 | OA
Schapeler, T., Schade, R., Lass, M., Plessl, C., & Bartley, T. (2025). Scalable quantum detector tomography by high-performance computing. Quantum Science and Technology, 10(1). https://doi.org/10.1088/2058-9565/ad8511
LibreCat | DOI | Download (ext.) | arXiv
 
[18]
2024 | Journal Article | LibreCat-ID: 53474
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
LibreCat | DOI
 
[17]
2024 | Journal Article | LibreCat-ID: 53663 | OA
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
LibreCat | Files available | DOI
 
[16]
2024 | Journal Article | LibreCat-ID: 56604 | OA
Van Hirtum, L., De Causmaecker, P., Goemaere, J., Kenter, T., Riebler, H., Lass, M., & Plessl, C. (2024). A Computation of the Ninth Dedekind Number Using FPGA Supercomputing. ACM Transactions on Reconfigurable Technology and Systems, 17(3), 1–28. https://doi.org/10.1145/3674147
LibreCat | DOI | Download (ext.)
 
[15]
2023 | Preprint | LibreCat-ID: 43439
Van Hirtum, L., De Causmaecker, P., Goemaere, J., Kenter, T., Riebler, H., Lass, M., & Plessl, C. (2023). A computation of D(9) using FPGA Supercomputing. In arXiv:2304.03039.
LibreCat | arXiv
 
[14]
2023 | Journal Article | LibreCat-ID: 45361 | OA
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
LibreCat | DOI | Download (ext.)
 
[13]
2022 | Dissertation | LibreCat-ID: 32414
Lass, M. (2022). Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1281
LibreCat | DOI
 
[12]
2022 | Journal Article | LibreCat-ID: 33684 | OA
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
LibreCat | DOI | Download (ext.)
 
[11]
2020 | Journal Article | LibreCat-ID: 16277 | OA
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., … Hutter, J. (2020). CP2K: 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
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[10]
2020 | Conference Paper | LibreCat-ID: 16898
Lass, M., Schade, R., Kühne, T., & Plessl, C. (2020). A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K. Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 1127–1140. https://doi.org/10.1109/SC41405.2020.00084
LibreCat | DOI | Download (ext.) | arXiv
 
[9]
2020 | Journal Article | LibreCat-ID: 12878 | OA
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
LibreCat | DOI | Download (ext.) | arXiv
 
[8]
2019 | Journal Article | LibreCat-ID: 21
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
LibreCat | DOI | arXiv
 
[7]
2018 | Journal Article | LibreCat-ID: 20
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
LibreCat | DOI | arXiv
 
[6]
2018 | Conference Paper | LibreCat-ID: 1590
Lass, M., Mohr, S., Wiebeler, H., Kühne, T., & Plessl, C. (2018). A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices. Proc. Platform for Advanced Scientific Computing (PASC) Conference. Platform for Advanced Scientific Computing Conference (PASC), Basel, Switzerland. https://doi.org/10.1145/3218176.3218231
LibreCat | DOI | arXiv
 
[5]
2017 | Journal Article | LibreCat-ID: 18
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
LibreCat | Files available | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 19
Lass, M., Leibenger, D., & Sorge, C. (2016). Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. In Proc. 41st Conference on Local Computer Networks (LCN). IEEE. https://doi.org/10.1109/lcn.2016.11
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 25
Lass, M., Kühne, T., & Plessl, C. (2016). Using Approximate Computing in Scientific Codes. Workshop on Approximate Computing (AC).
LibreCat
 
[2]
2015 | Mastersthesis | LibreCat-ID: 1794
Lass, M. (2015). Localization and Analysis of Code Paths Suitable for Acceleration using Approximate Computing. Paderborn: Paderborn University.
LibreCat
 
[1]
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass, M. (2013). Sichere Speicherung vertraulicher Daten in verteilten Versionskontrollsystemen. Paderborn: Paderborn University.
LibreCat
 
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19 Publications

Mark all

[19]
2025 | Journal Article | LibreCat-ID: 53202 | OA
Schapeler, T., Schade, R., Lass, M., Plessl, C., & Bartley, T. (2025). Scalable quantum detector tomography by high-performance computing. Quantum Science and Technology, 10(1). https://doi.org/10.1088/2058-9565/ad8511
LibreCat | DOI | Download (ext.) | arXiv
 
[18]
2024 | Journal Article | LibreCat-ID: 53474
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
LibreCat | DOI
 
[17]
2024 | Journal Article | LibreCat-ID: 53663 | OA
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
LibreCat | Files available | DOI
 
[16]
2024 | Journal Article | LibreCat-ID: 56604 | OA
Van Hirtum, L., De Causmaecker, P., Goemaere, J., Kenter, T., Riebler, H., Lass, M., & Plessl, C. (2024). A Computation of the Ninth Dedekind Number Using FPGA Supercomputing. ACM Transactions on Reconfigurable Technology and Systems, 17(3), 1–28. https://doi.org/10.1145/3674147
LibreCat | DOI | Download (ext.)
 
[15]
2023 | Preprint | LibreCat-ID: 43439
Van Hirtum, L., De Causmaecker, P., Goemaere, J., Kenter, T., Riebler, H., Lass, M., & Plessl, C. (2023). A computation of D(9) using FPGA Supercomputing. In arXiv:2304.03039.
LibreCat | arXiv
 
[14]
2023 | Journal Article | LibreCat-ID: 45361 | OA
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
LibreCat | DOI | Download (ext.)
 
[13]
2022 | Dissertation | LibreCat-ID: 32414
Lass, M. (2022). Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1281
LibreCat | DOI
 
[12]
2022 | Journal Article | LibreCat-ID: 33684 | OA
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
LibreCat | DOI | Download (ext.)
 
[11]
2020 | Journal Article | LibreCat-ID: 16277 | OA
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., … Hutter, J. (2020). CP2K: 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
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[10]
2020 | Conference Paper | LibreCat-ID: 16898
Lass, M., Schade, R., Kühne, T., & Plessl, C. (2020). A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K. Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 1127–1140. https://doi.org/10.1109/SC41405.2020.00084
LibreCat | DOI | Download (ext.) | arXiv
 
[9]
2020 | Journal Article | LibreCat-ID: 12878 | OA
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
LibreCat | DOI | Download (ext.) | arXiv
 
[8]
2019 | Journal Article | LibreCat-ID: 21
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
LibreCat | DOI | arXiv
 
[7]
2018 | Journal Article | LibreCat-ID: 20
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
LibreCat | DOI | arXiv
 
[6]
2018 | Conference Paper | LibreCat-ID: 1590
Lass, M., Mohr, S., Wiebeler, H., Kühne, T., & Plessl, C. (2018). A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices. Proc. Platform for Advanced Scientific Computing (PASC) Conference. Platform for Advanced Scientific Computing Conference (PASC), Basel, Switzerland. https://doi.org/10.1145/3218176.3218231
LibreCat | DOI | arXiv
 
[5]
2017 | Journal Article | LibreCat-ID: 18
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
LibreCat | Files available | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 19
Lass, M., Leibenger, D., & Sorge, C. (2016). Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. In Proc. 41st Conference on Local Computer Networks (LCN). IEEE. https://doi.org/10.1109/lcn.2016.11
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 25
Lass, M., Kühne, T., & Plessl, C. (2016). Using Approximate Computing in Scientific Codes. Workshop on Approximate Computing (AC).
LibreCat
 
[2]
2015 | Mastersthesis | LibreCat-ID: 1794
Lass, M. (2015). Localization and Analysis of Code Paths Suitable for Acceleration using Approximate Computing. Paderborn: Paderborn University.
LibreCat
 
[1]
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass, M. (2013). Sichere Speicherung vertraulicher Daten in verteilten Versionskontrollsystemen. Paderborn: Paderborn University.
LibreCat
 
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