M. Lass, T. Kenter, C. Plessl, and M. Brehm, “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations,”10.3390/e26040322__Entropy, vol. 26, no. 4, Art. no. 322, 2024, doi:10.3390/e26040322 .
LibreCat: /record/53474
DOI: 10.3390/e26040322

T. Schapeler, R. Schade, M. Lass, C. Plessl, and T. Bartley, “Scalable quantum detector tomography by high-performance computing,” arXiv:2404.02844. 2024.
LibreCat: /record/53202
arXiv: 2404.02844

C. Bauer et al., “Noctua 2 Supercomputer,”10.17815/jlsrf-8-187 __Journal of large-scale research facilities, vol. 9, 2024, doi:10.17815/jlsrf-8-187  .
LibreCat: /record/53663
DOI: 10.17815/jlsrf-8-187 

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,”10.1177/10943420231177631__The International Journal of High Performance Computing Applications, Art. no. 109434202311776, 2023, doi:10.1177/10943420231177631 .
LibreCat: /record/45361
DOI: 10.1177/10943420231177631

L. Van Hirtum et al., “A computation of D(9) using FPGA Supercomputing,” arXiv:2304.03039. 2023.
LibreCat: /record/43439
arXiv: 2304.03039

M. Lass, Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Paderborn: Universität Paderborn, 2022.
LibreCat: /record/32414
DOI: 10.17619/UNIPB/1-1281

R. Schade et al., “Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms,”10.1016/j.parco.2022.102920__Parallel Computing, vol. 111, Art. no. 102920, 2022, doi:10.1016/j.parco.2022.102920 .
LibreCat: /record/33684
DOI: 10.1016/j.parco.2022.102920

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 .
LibreCat: /record/16277
DOI: 10.1063/5.0007045
arXiv: 2003.03868

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 .
LibreCat: /record/16898
DOI: 10.1109/SC41405.2020.00084
arXiv: 2004.10811

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 .
LibreCat: /record/12878
DOI: 10.3390/computation8020039
arXiv: 1907.08497

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 .
LibreCat: /record/21
DOI: 10.4208/cicp.OA-2018-0053
arXiv: 1703.02456

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.
LibreCat: /record/20
DOI: 10.1109/LES.2017.2760923
arXiv: 1703.02283

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,”10.1145/3218176.3218231__presented at the Platform for Advanced Scientific Computing Conference (PASC), Basel, Switzerland, 2018, doi:10.1145/3218176.3218231 .
LibreCat: /record/1590
DOI: 10.1145/3218176.3218231
arXiv: 1710.10899

H. Riebler, M. Lass, R. Mittendorf, T. Löcke, and C. Plessl, “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs,”10.1145/3053687__ACM Transactions on Reconfigurable Technology and Systems (TRETS), vol. 10, no. 3, p. 24:1-24:23, 2017, doi:10.1145/3053687 .
LibreCat: /record/18
DOI: 10.1145/3053687

M. Lass, D. Leibenger, and C. Sorge, “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension,” in Proc. 41st Conference on Local Computer Networks (LCN), 2016.
LibreCat: /record/19
DOI: 10.1109/lcn.2016.11

M. Lass, T. Kühne, and C. Plessl, “Using Approximate Computing in Scientific Codes,” 2016.
LibreCat: /record/25

M. Lass, Localization and Analysis of Code Paths Suitable for Acceleration using Approximate Computing. Paderborn: Paderborn University, 2015.
LibreCat: /record/1794

M. Lass, Sichere Speicherung vertraulicher Daten in verteilten Versionskontrollsystemen. Paderborn: Paderborn University, 2013.
LibreCat: /record/1795