Lass, Michael, Tobias Kenter, Christian Plessl, and Martin Brehm. “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations.”https://doi.org/10.3390/e26040322__Entropy 26, no. 4 (2024).https://doi.org/10.3390/e26040322 .
LibreCat: /record/53474
DOI: 10.3390/e26040322

Schapeler, Timon, Robert Schade, Michael Lass, Christian Plessl, and Tim Bartley. “Scalable Quantum Detector Tomography by High-Performance Computing.” ArXiv:2404.02844, 2024.
LibreCat: /record/53202
arXiv: 2404.02844

Bauer, Carsten, Tobias Kenter, Michael Lass, Lukas Mazur, Marius Meyer, Holger Nitsche, Heinrich Riebler, et al. “Noctua 2 Supercomputer.”https://doi.org/10.17815/jlsrf-8-187 __Journal of Large-Scale Research Facilities 9 (2024).https://doi.org/10.17815/jlsrf-8-187  .
LibreCat: /record/53663
DOI: 10.17815/jlsrf-8-187 

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.”https://doi.org/10.1177/10943420231177631__The International Journal of High Performance Computing Applications, 2023.https://doi.org/10.1177/10943420231177631 .
LibreCat: /record/45361
DOI: 10.1177/10943420231177631

Van Hirtum, Lennart, Patrick De Causmaecker, Jens Goemaere, Tobias Kenter, Heinrich Riebler, Michael Lass, and Christian Plessl. “A Computation of D(9) Using FPGA Supercomputing.” ArXiv:2304.03039, 2023.
LibreCat: /record/43439
arXiv: 2304.03039

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: /record/32414
DOI: 10.17619/UNIPB/1-1281

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.”https://doi.org/10.1016/j.parco.2022.102920__Parallel Computing 111 (2022).https://doi.org/10.1016/j.parco.2022.102920 .
LibreCat: /record/33684
DOI: 10.1016/j.parco.2022.102920

Kühne, Thomas, Marcella Iannuzzi, Mauro Del Ben, Vladimir V. Rybkin, Patrick Seewald, Frederick Stein, Teodoro Laino, et al. “CK: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.”https://doi.org/10.1063/5.0007045__The Journal of Chemical Physics 152, no. 19 (2020).https://doi.org/10.1063/5.0007045 .
LibreCat: /record/16277
DOI: 10.1063/5.0007045
arXiv: 2003.03868

Lass, Michael, Robert Schade, Thomas Kühne, and Christian Plessl. “A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK.”https://doi.org/10.1109/SC41405.2020.00084__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: /record/16898
DOI: 10.1109/SC41405.2020.00084
arXiv: 2004.10811

Rengaraj, Varadarajan, Michael Lass, Christian Plessl, and Thomas Kühne. “Accurate Sampling with Noisy Forces from Approximate Computing.”https://doi.org/10.3390/computation8020039__Computation 8, no. 2 (2020).https://doi.org/10.3390/computation8020039 .
LibreCat: /record/12878
DOI: 10.3390/computation8020039
arXiv: 1907.08497

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.”https://doi.org/10.4208/cicp.OA-2018-0053__Communications in Computational Physics 25, no. 2 (2019): 564–85.https://doi.org/10.4208/cicp.OA-2018-0053 .
LibreCat: /record/21
DOI: 10.4208/cicp.OA-2018-0053
arXiv: 1703.02456

Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.”https://doi.org/10.1109/LES.2017.2760923__Embedded Systems Letters 10, no. 2 (2018): 33–36.https://doi.org/10.1109/LES.2017.2760923 .
LibreCat: /record/20
DOI: 10.1109/LES.2017.2760923
arXiv: 1703.02283

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.”https://doi.org/10.1145/3218176.3218231__In Proc. Platform for Advanced Scientific Computing (PASC) Conference. New York, NY, USA: ACM, 2018.https://doi.org/10.1145/3218176.3218231 .
LibreCat: /record/1590
DOI: 10.1145/3218176.3218231
arXiv: 1710.10899

Riebler, Heinrich, Michael Lass, Robert Mittendorf, Thomas Löcke, and Christian Plessl. “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs.”https://doi.org/10.1145/3053687__ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10, no. 3 (2017): 24:1-24:23.https://doi.org/10.1145/3053687 .
LibreCat: /record/18
DOI: 10.1145/3053687

Lass, Michael, Dominik Leibenger, and Christoph Sorge. “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension.”https://doi.org/10.1109/lcn.2016.11__In Proc. 41st Conference on Local Computer Networks (LCN). IEEE, 2016.https://doi.org/10.1109/lcn.2016.11 .
LibreCat: /record/19
DOI: 10.1109/lcn.2016.11

Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate Computing in Scientific Codes.” In Workshop on Approximate Computing (AC), 2016.
LibreCat: /record/25

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

Lass, Michael. Sichere Speicherung Vertraulicher Daten in Verteilten Versionskontrollsystemen. Paderborn: Paderborn University, 2013.
LibreCat: /record/1795