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, et al. “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations.” Entropy, vol. 26, no. 4, 322, MDPI AG, 2024, doi:10.3390/e26040322.
LibreCat | DOI
 
[16]
2024 | Preprint | LibreCat-ID: 53202
Schapeler, Timon, et al. “Scalable Quantum Detector Tomography by High-Performance Computing.” ArXiv:2404.02844, 2024.
LibreCat | arXiv
 
[15]
2023 | Journal Article | LibreCat-ID: 45361 | OA
Schade, Robert, et al. “Breaking the Exascale Barrier for the Electronic Structure Problem in Ab-Initio Molecular Dynamics.” The International Journal of High Performance Computing Applications, 109434202311776, SAGE Publications, 2023, doi:10.1177/10943420231177631.
LibreCat | DOI | Download (ext.)
 
[14]
2023 | Preprint | LibreCat-ID: 43439
Van Hirtum, Lennart, et al. “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. Universität Paderborn, 2022, doi:10.17619/UNIPB/1-1281.
LibreCat | DOI
 
[12]
2022 | Journal Article | LibreCat-ID: 33684 | OA
Schade, Robert, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.” Parallel Computing, vol. 111, 102920, Elsevier BV, 2022, doi:10.1016/j.parco.2022.102920.
LibreCat | DOI | Download (ext.)
 
[11]
2020 | Journal Article | LibreCat-ID: 16277 | OA
Kühne, Thomas, et al. “CP2K: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.” The Journal of Chemical Physics, vol. 152, no. 19, 194103, 2020, doi:10.1063/5.0007045.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[10]
2020 | Conference Paper | LibreCat-ID: 16898
Lass, Michael, et al. “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), IEEE Computer Society, 2020, pp. 1127–40, doi:10.1109/SC41405.2020.00084.
LibreCat | DOI | Download (ext.) | arXiv
 
[9]
2020 | Journal Article | LibreCat-ID: 12878 | OA
Rengaraj, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation, vol. 8, no. 2, 39, MDPI, 2020, doi:10.3390/computation8020039.
LibreCat | DOI | Download (ext.) | arXiv
 
[8]
2019 | Journal Article | LibreCat-ID: 21
Richters, Dorothee, et al. “A General Algorithm to Calculate the Inverse Principal P-Th Root of Symmetric Positive Definite Matrices.” Communications in Computational Physics, vol. 25, no. 2, Global Science Press, 2019, pp. 564–85, doi:10.4208/cicp.OA-2018-0053.
LibreCat | DOI | arXiv
 
[7]
2018 | Journal Article | LibreCat-ID: 20
Lass, Michael, et al. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.” Embedded Systems Letters, vol. 10, no. 2, IEEE, 2018, pp. 33–36, doi:10.1109/LES.2017.2760923.
LibreCat | DOI | arXiv
 
[6]
2018 | Conference Paper | LibreCat-ID: 1590
Lass, Michael, et al. “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, ACM, 2018, doi:10.1145/3218176.3218231.
LibreCat | DOI | arXiv
 
[5]
2017 | Journal Article | LibreCat-ID: 18
Riebler, Heinrich, et al. “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs.” ACM Transactions on Reconfigurable Technology and Systems (TRETS), vol. 10, no. 3, Association for Computing Machinery (ACM), 2017, p. 24:1-24:23, doi:10.1145/3053687.
LibreCat | Files available | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 19
Lass, Michael, et al. “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension.” Proc. 41st Conference on Local Computer Networks (LCN), IEEE, 2016, doi:10.1109/lcn.2016.11.
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 25
Lass, Michael, et al. “Using Approximate Computing in Scientific Codes.” 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 University, 2015.
LibreCat
 
[1]
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass, Michael. Sichere Speicherung Vertraulicher Daten in Verteilten Versionskontrollsystemen. Paderborn University, 2013.
LibreCat
 
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17 Publications

Mark all

[17]
2024 | Journal Article | LibreCat-ID: 53474
Lass, Michael, et al. “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations.” Entropy, vol. 26, no. 4, 322, MDPI AG, 2024, doi:10.3390/e26040322.
LibreCat | DOI
 
[16]
2024 | Preprint | LibreCat-ID: 53202
Schapeler, Timon, et al. “Scalable Quantum Detector Tomography by High-Performance Computing.” ArXiv:2404.02844, 2024.
LibreCat | arXiv
 
[15]
2023 | Journal Article | LibreCat-ID: 45361 | OA
Schade, Robert, et al. “Breaking the Exascale Barrier for the Electronic Structure Problem in Ab-Initio Molecular Dynamics.” The International Journal of High Performance Computing Applications, 109434202311776, SAGE Publications, 2023, doi:10.1177/10943420231177631.
LibreCat | DOI | Download (ext.)
 
[14]
2023 | Preprint | LibreCat-ID: 43439
Van Hirtum, Lennart, et al. “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. Universität Paderborn, 2022, doi:10.17619/UNIPB/1-1281.
LibreCat | DOI
 
[12]
2022 | Journal Article | LibreCat-ID: 33684 | OA
Schade, Robert, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.” Parallel Computing, vol. 111, 102920, Elsevier BV, 2022, doi:10.1016/j.parco.2022.102920.
LibreCat | DOI | Download (ext.)
 
[11]
2020 | Journal Article | LibreCat-ID: 16277 | OA
Kühne, Thomas, et al. “CP2K: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.” The Journal of Chemical Physics, vol. 152, no. 19, 194103, 2020, doi:10.1063/5.0007045.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[10]
2020 | Conference Paper | LibreCat-ID: 16898
Lass, Michael, et al. “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), IEEE Computer Society, 2020, pp. 1127–40, doi:10.1109/SC41405.2020.00084.
LibreCat | DOI | Download (ext.) | arXiv
 
[9]
2020 | Journal Article | LibreCat-ID: 12878 | OA
Rengaraj, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation, vol. 8, no. 2, 39, MDPI, 2020, doi:10.3390/computation8020039.
LibreCat | DOI | Download (ext.) | arXiv
 
[8]
2019 | Journal Article | LibreCat-ID: 21
Richters, Dorothee, et al. “A General Algorithm to Calculate the Inverse Principal P-Th Root of Symmetric Positive Definite Matrices.” Communications in Computational Physics, vol. 25, no. 2, Global Science Press, 2019, pp. 564–85, doi:10.4208/cicp.OA-2018-0053.
LibreCat | DOI | arXiv
 
[7]
2018 | Journal Article | LibreCat-ID: 20
Lass, Michael, et al. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.” Embedded Systems Letters, vol. 10, no. 2, IEEE, 2018, pp. 33–36, doi:10.1109/LES.2017.2760923.
LibreCat | DOI | arXiv
 
[6]
2018 | Conference Paper | LibreCat-ID: 1590
Lass, Michael, et al. “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, ACM, 2018, doi:10.1145/3218176.3218231.
LibreCat | DOI | arXiv
 
[5]
2017 | Journal Article | LibreCat-ID: 18
Riebler, Heinrich, et al. “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs.” ACM Transactions on Reconfigurable Technology and Systems (TRETS), vol. 10, no. 3, Association for Computing Machinery (ACM), 2017, p. 24:1-24:23, doi:10.1145/3053687.
LibreCat | Files available | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 19
Lass, Michael, et al. “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension.” Proc. 41st Conference on Local Computer Networks (LCN), IEEE, 2016, doi:10.1109/lcn.2016.11.
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 25
Lass, Michael, et al. “Using Approximate Computing in Scientific Codes.” 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 University, 2015.
LibreCat
 
[1]
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass, Michael. Sichere Speicherung Vertraulicher Daten in Verteilten Versionskontrollsystemen. Paderborn University, 2013.
LibreCat
 
Marked Publication(s)

Search

Filter Publications

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Citation Style: MLA

Export / Embed