Michael Laß

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

17 Publications

Mark all

[17]
2024 | Journal Article | LibreCat-ID: 53474
Lass, Michael, Tobias Kenter, Christian Plessl, and Martin Brehm. “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations.” Entropy 26, no. 4 (2024). https://doi.org/10.3390/e26040322.
LibreCat | DOI
 
[16]
2024 | Preprint | LibreCat-ID: 53202
Schapeler, Timon, Robert Schade, Michael Lass, Christian Plessl, and Tim Bartley. “Scalable Quantum Detector Tomography by High-Performance Computing.” ArXiv:2404.02844, 2024.
LibreCat | arXiv
 
[15]
2023 | Journal Article | LibreCat-ID: 45361 | OA
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.” The International Journal of High Performance Computing Applications, 2023. https://doi.org/10.1177/10943420231177631.
LibreCat | DOI | Download (ext.)
 
[14]
2023 | Preprint | LibreCat-ID: 43439
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 | arXiv
 
[13]
2022 | Dissertation | LibreCat-ID: 32414
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 | DOI
 
[12]
2022 | Journal Article | LibreCat-ID: 33684 | OA
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.” Parallel Computing 111 (2022). https://doi.org/10.1016/j.parco.2022.102920.
LibreCat | DOI | Download (ext.)
 
[11]
2020 | Journal Article | LibreCat-ID: 16277 | OA
Kühne, Thomas, Marcella Iannuzzi, Mauro Del Ben, Vladimir V. Rybkin, Patrick Seewald, Frederick Stein, Teodoro Laino, et al. “CP2K: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.” The Journal of Chemical Physics 152, no. 19 (2020). https://doi.org/10.1063/5.0007045.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[10]
2020 | Conference Paper | LibreCat-ID: 16898
Lass, Michael, Robert Schade, Thomas Kühne, and Christian Plessl. “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), 1127–40. Los Alamitos, CA, USA: IEEE Computer Society, 2020. https://doi.org/10.1109/SC41405.2020.00084.
LibreCat | DOI | Download (ext.) | arXiv
 
[9]
2020 | Journal Article | LibreCat-ID: 12878 | OA
Rengaraj, Varadarajan, Michael Lass, Christian Plessl, and Thomas Kühne. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation 8, no. 2 (2020). https://doi.org/10.3390/computation8020039.
LibreCat | DOI | Download (ext.) | arXiv
 
[8]
2019 | Journal Article | LibreCat-ID: 21
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.” Communications in Computational Physics 25, no. 2 (2019): 564–85. https://doi.org/10.4208/cicp.OA-2018-0053.
LibreCat | DOI | arXiv
 
[7]
2018 | Journal Article | LibreCat-ID: 20
Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.” Embedded Systems Letters 10, no. 2 (2018): 33–36. https://doi.org/10.1109/LES.2017.2760923.
LibreCat | DOI | arXiv
 
[6]
2018 | Conference Paper | LibreCat-ID: 1590
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.” In Proc. Platform for Advanced Scientific Computing (PASC) Conference. New York, NY, USA: ACM, 2018. https://doi.org/10.1145/3218176.3218231.
LibreCat | DOI | arXiv
 
[5]
2017 | Journal Article | LibreCat-ID: 18
Riebler, Heinrich, Michael Lass, Robert Mittendorf, Thomas Löcke, and Christian Plessl. “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs.” ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10, no. 3 (2017): 24:1-24:23. https://doi.org/10.1145/3053687.
LibreCat | Files available | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 19
Lass, Michael, Dominik Leibenger, and Christoph Sorge. “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension.” In Proc. 41st Conference on Local Computer Networks (LCN). IEEE, 2016. https://doi.org/10.1109/lcn.2016.11.
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 25
Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate Computing in Scientific Codes.” In Workshop on Approximate Computing (AC), 2016.
LibreCat
 
[2]
2015 | Mastersthesis | LibreCat-ID: 1794
Lass, Michael. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University, 2015.
LibreCat
 
[1]
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass, Michael. Sichere Speicherung Vertraulicher Daten in Verteilten Versionskontrollsystemen. Paderborn: Paderborn University, 2013.
LibreCat
 
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17 Publications

Mark all

[17]
2024 | Journal Article | LibreCat-ID: 53474
Lass, Michael, Tobias Kenter, Christian Plessl, and Martin Brehm. “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations.” Entropy 26, no. 4 (2024). https://doi.org/10.3390/e26040322.
LibreCat | DOI
 
[16]
2024 | Preprint | LibreCat-ID: 53202
Schapeler, Timon, Robert Schade, Michael Lass, Christian Plessl, and Tim Bartley. “Scalable Quantum Detector Tomography by High-Performance Computing.” ArXiv:2404.02844, 2024.
LibreCat | arXiv
 
[15]
2023 | Journal Article | LibreCat-ID: 45361 | OA
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.” The International Journal of High Performance Computing Applications, 2023. https://doi.org/10.1177/10943420231177631.
LibreCat | DOI | Download (ext.)
 
[14]
2023 | Preprint | LibreCat-ID: 43439
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 | arXiv
 
[13]
2022 | Dissertation | LibreCat-ID: 32414
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 | DOI
 
[12]
2022 | Journal Article | LibreCat-ID: 33684 | OA
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.” Parallel Computing 111 (2022). https://doi.org/10.1016/j.parco.2022.102920.
LibreCat | DOI | Download (ext.)
 
[11]
2020 | Journal Article | LibreCat-ID: 16277 | OA
Kühne, Thomas, Marcella Iannuzzi, Mauro Del Ben, Vladimir V. Rybkin, Patrick Seewald, Frederick Stein, Teodoro Laino, et al. “CP2K: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.” The Journal of Chemical Physics 152, no. 19 (2020). https://doi.org/10.1063/5.0007045.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[10]
2020 | Conference Paper | LibreCat-ID: 16898
Lass, Michael, Robert Schade, Thomas Kühne, and Christian Plessl. “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), 1127–40. Los Alamitos, CA, USA: IEEE Computer Society, 2020. https://doi.org/10.1109/SC41405.2020.00084.
LibreCat | DOI | Download (ext.) | arXiv
 
[9]
2020 | Journal Article | LibreCat-ID: 12878 | OA
Rengaraj, Varadarajan, Michael Lass, Christian Plessl, and Thomas Kühne. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation 8, no. 2 (2020). https://doi.org/10.3390/computation8020039.
LibreCat | DOI | Download (ext.) | arXiv
 
[8]
2019 | Journal Article | LibreCat-ID: 21
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.” Communications in Computational Physics 25, no. 2 (2019): 564–85. https://doi.org/10.4208/cicp.OA-2018-0053.
LibreCat | DOI | arXiv
 
[7]
2018 | Journal Article | LibreCat-ID: 20
Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.” Embedded Systems Letters 10, no. 2 (2018): 33–36. https://doi.org/10.1109/LES.2017.2760923.
LibreCat | DOI | arXiv
 
[6]
2018 | Conference Paper | LibreCat-ID: 1590
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.” In Proc. Platform for Advanced Scientific Computing (PASC) Conference. New York, NY, USA: ACM, 2018. https://doi.org/10.1145/3218176.3218231.
LibreCat | DOI | arXiv
 
[5]
2017 | Journal Article | LibreCat-ID: 18
Riebler, Heinrich, Michael Lass, Robert Mittendorf, Thomas Löcke, and Christian Plessl. “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs.” ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10, no. 3 (2017): 24:1-24:23. https://doi.org/10.1145/3053687.
LibreCat | Files available | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 19
Lass, Michael, Dominik Leibenger, and Christoph Sorge. “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension.” In Proc. 41st Conference on Local Computer Networks (LCN). IEEE, 2016. https://doi.org/10.1109/lcn.2016.11.
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 25
Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate Computing in Scientific Codes.” In Workshop on Approximate Computing (AC), 2016.
LibreCat
 
[2]
2015 | Mastersthesis | LibreCat-ID: 1794
Lass, Michael. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University, 2015.
LibreCat
 
[1]
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass, Michael. Sichere Speicherung Vertraulicher Daten in Verteilten Versionskontrollsystemen. Paderborn: Paderborn University, 2013.
LibreCat
 
Marked Publication(s)

Search

Filter Publications

Display / Sort

Citation Style: Chicago

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