Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations
M. Lass, T. Kenter, C. Plessl, M. Brehm, Entropy 26 (2024).
LibreCat: /record/53474
DOI: 10.3390/e26040322

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

Noctua 2 Supercomputer
C. Bauer, T. Kenter, M. Lass, L. Mazur, M. Meyer, H. Nitsche, H. Riebler, R. Schade, M. Schwarz, N. Winnwa, A. Wiens, X. Wu, C. Plessl, J. Simon, Journal of Large-Scale Research Facilities 9 (2024).
LibreCat: /record/53663
DOI: 10.17815/jlsrf-8-187 

Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics
R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, C. Plessl, The International Journal of High Performance Computing Applications (2023).
LibreCat: /record/45361
DOI: 10.1177/10943420231177631

A computation of D(9) using FPGA Supercomputing
L. Van Hirtum, P. De Causmaecker, J. Goemaere, T. Kenter, H. Riebler, M. Lass, C. Plessl, ArXiv:2304.03039 (2023).
LibreCat: /record/43439
arXiv: 2304.03039

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

Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms
R. Schade, T. Kenter, H. Elgabarty, M. Lass, O. Schütt, A. Lazzaro, H. Pabst, S. Mohr, J. Hutter, T. Kühne, C. Plessl, Parallel Computing 111 (2022).
LibreCat: /record/33684
DOI: 10.1016/j.parco.2022.102920

CK: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations
T. Kühne, M. Iannuzzi, M.D. Ben, V.V. Rybkin, P. Seewald, F. Stein, T. Laino, R.Z. Khaliullin, O. Schütt, F. Schiffmann, D. Golze, J. Wilhelm, S. Chulkov, M.H.B.-H. Mohammad Hossein Bani-Hashemian, V. Weber, U. Borstnik, M. Taillefumier, A.S. Jakobovits, A. Lazzaro, H. Pabst, T. Müller, R. Schade, M. Guidon, S. Andermatt, N. Holmberg, G.K. Schenter, A. Hehn, A. Bussy, F. Belleflamme, G. Tabacchi, A. Glöß, M. Lass, I. Bethune, C.J. Mundy, C. Plessl, M. Watkins, J. VandeVondele, M. Krack, J. Hutter, The Journal of Chemical Physics 152 (2020).
LibreCat: /record/16277
DOI: 10.1063/5.0007045
arXiv: 2003.03868

A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK
M. Lass, R. Schade, T. Kühne, C. Plessl, in: Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), IEEE Computer Society, Los Alamitos, CA, USA, 2020, pp. 1127–1140.
LibreCat: /record/16898
DOI: 10.1109/SC41405.2020.00084
arXiv: 2004.10811

Accurate Sampling with Noisy Forces from Approximate Computing
V. Rengaraj, M. Lass, C. Plessl, T. Kühne, Computation 8 (2020).
LibreCat: /record/12878
DOI: 10.3390/computation8020039
arXiv: 1907.08497

A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices
D. Richters, M. Lass, A. Walther, C. Plessl, T. Kühne, Communications in Computational Physics 25 (2019) 564–585.
LibreCat: /record/21
DOI: 10.4208/cicp.OA-2018-0053
arXiv: 1703.02456

Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots
M. Lass, T. Kühne, C. Plessl, Embedded Systems Letters 10 (2018) 33–36.
LibreCat: /record/20
DOI: 10.1109/LES.2017.2760923
arXiv: 1703.02283

A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices
M. Lass, S. Mohr, H. Wiebeler, T. Kühne, C. Plessl, in: Proc. Platform for Advanced Scientific Computing (PASC) Conference, ACM, New York, NY, USA, 2018.
LibreCat: /record/1590
DOI: 10.1145/3218176.3218231
arXiv: 1710.10899

Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs
H. Riebler, M. Lass, R. Mittendorf, T. Löcke, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10 (2017) 24:1-24:23.
LibreCat: /record/18
DOI: 10.1145/3053687

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

Using Approximate Computing in Scientific Codes
M. Lass, T. Kühne, C. Plessl, in: Workshop on Approximate Computing (AC), 2016.
LibreCat: /record/25

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

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