Michael Laß

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

14 Publications

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[14]
2022 | Dissertation | LibreCat-ID: 32414
Lass, M. (2022). Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1281
LibreCat | DOI
 
[13]
2022 | Preprint | LibreCat-ID: 32385
Schade, R., Kenter, T., Elgabarty, H., Lass, M., Kühne, T., & Plessl, C. (2022). Breaking the Exascale Barrier for the Electronic Structure Problem in  Ab-Initio Molecular Dynamics. In arXiv:2205.12182.
LibreCat | arXiv
 
[12]
2022 | Journal Article | LibreCat-ID: 33684
Schade, R., Kenter, T., Elgabarty, H., Lass, M., Schütt, O., Lazzaro, A., Pabst, H., Mohr, S., Hutter, J., Kühne, T., & Plessl, C. (2022). Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing, 111, Article 102920. https://doi.org/10.1016/j.parco.2022.102920
LibreCat | DOI
 
[11]
2020 | Conference Paper | LibreCat-ID: 16898
Lass, M., Schade, R., Kühne, T., & Plessl, C. (2020). 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) (pp. 1127–1140). Los Alamitos, CA, USA: IEEE Computer Society. https://doi.org/10.1109/SC41405.2020.00084
LibreCat | DOI | arXiv
 
[10]
2020 | Journal Article | LibreCat-ID: 12878 | OA
Rengaraj, V., Lass, M., Plessl, C., & Kühne, T. (2020). Accurate Sampling with Noisy Forces from Approximate Computing. Computation, 8(2). https://doi.org/10.3390/computation8020039
LibreCat | DOI | Download (ext.) | arXiv
 
[9]
2020 | Journal Article | LibreCat-ID: 16277 | OA
Kühne, T., Iannuzzi, M., Ben, M. D., Rybkin, V. V., Seewald, P., Stein, F., … Hutter, J. (2020). CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics, 152(19). https://doi.org/10.1063/5.0007045
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[8]
2019 | Journal Article | LibreCat-ID: 21
Richters, D., Lass, M., Walther, A., Plessl, C., & Kühne, T. (2019). A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics, 25(2), 564–585. https://doi.org/10.4208/cicp.OA-2018-0053
LibreCat | DOI | arXiv
 
[7]
2018 | Journal Article | LibreCat-ID: 20
Lass, M., Kühne, T., & Plessl, C. (2018). Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters, 10(2), 33–36. https://doi.org/10.1109/LES.2017.2760923
LibreCat | DOI | arXiv
 
[6]
2018 | Conference Paper | LibreCat-ID: 1590
Lass, M., Mohr, S., Wiebeler, H., Kühne, T., & Plessl, C. (2018). 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. https://doi.org/10.1145/3218176.3218231
LibreCat | DOI | arXiv
 
[5]
2017 | Journal Article | LibreCat-ID: 18
Riebler, H., Lass, M., Mittendorf, R., Löcke, T., & Plessl, C. (2017). Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 10(3), 24:1-24:23. https://doi.org/10.1145/3053687
LibreCat | Files available | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 25
Lass, M., Kühne, T., & Plessl, C. (2016). Using Approximate Computing in Scientific Codes. In Workshop on Approximate Computing (AC).
LibreCat
 
[3]
2016 | Conference Paper | LibreCat-ID: 19
Lass, M., Leibenger, D., & Sorge, C. (2016). Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. In Proc. 41st Conference on Local Computer Networks (LCN). IEEE. https://doi.org/10.1109/lcn.2016.11
LibreCat | DOI
 
[2]
2015 | Mastersthesis | LibreCat-ID: 1794
Lass, M. (2015). Localization and Analysis of Code Paths Suitable for Acceleration using Approximate Computing. Paderborn: Paderborn University.
LibreCat
 
[1]
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass, M. (2013). Sichere Speicherung vertraulicher Daten in verteilten Versionskontrollsystemen. Paderborn: Paderborn University.
LibreCat
 
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14 Publications

Mark all

[14]
2022 | Dissertation | LibreCat-ID: 32414
Lass, M. (2022). Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1281
LibreCat | DOI
 
[13]
2022 | Preprint | LibreCat-ID: 32385
Schade, R., Kenter, T., Elgabarty, H., Lass, M., Kühne, T., & Plessl, C. (2022). Breaking the Exascale Barrier for the Electronic Structure Problem in  Ab-Initio Molecular Dynamics. In arXiv:2205.12182.
LibreCat | arXiv
 
[12]
2022 | Journal Article | LibreCat-ID: 33684
Schade, R., Kenter, T., Elgabarty, H., Lass, M., Schütt, O., Lazzaro, A., Pabst, H., Mohr, S., Hutter, J., Kühne, T., & Plessl, C. (2022). Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing, 111, Article 102920. https://doi.org/10.1016/j.parco.2022.102920
LibreCat | DOI
 
[11]
2020 | Conference Paper | LibreCat-ID: 16898
Lass, M., Schade, R., Kühne, T., & Plessl, C. (2020). 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) (pp. 1127–1140). Los Alamitos, CA, USA: IEEE Computer Society. https://doi.org/10.1109/SC41405.2020.00084
LibreCat | DOI | arXiv
 
[10]
2020 | Journal Article | LibreCat-ID: 12878 | OA
Rengaraj, V., Lass, M., Plessl, C., & Kühne, T. (2020). Accurate Sampling with Noisy Forces from Approximate Computing. Computation, 8(2). https://doi.org/10.3390/computation8020039
LibreCat | DOI | Download (ext.) | arXiv
 
[9]
2020 | Journal Article | LibreCat-ID: 16277 | OA
Kühne, T., Iannuzzi, M., Ben, M. D., Rybkin, V. V., Seewald, P., Stein, F., … Hutter, J. (2020). CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics, 152(19). https://doi.org/10.1063/5.0007045
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[8]
2019 | Journal Article | LibreCat-ID: 21
Richters, D., Lass, M., Walther, A., Plessl, C., & Kühne, T. (2019). A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics, 25(2), 564–585. https://doi.org/10.4208/cicp.OA-2018-0053
LibreCat | DOI | arXiv
 
[7]
2018 | Journal Article | LibreCat-ID: 20
Lass, M., Kühne, T., & Plessl, C. (2018). Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters, 10(2), 33–36. https://doi.org/10.1109/LES.2017.2760923
LibreCat | DOI | arXiv
 
[6]
2018 | Conference Paper | LibreCat-ID: 1590
Lass, M., Mohr, S., Wiebeler, H., Kühne, T., & Plessl, C. (2018). 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. https://doi.org/10.1145/3218176.3218231
LibreCat | DOI | arXiv
 
[5]
2017 | Journal Article | LibreCat-ID: 18
Riebler, H., Lass, M., Mittendorf, R., Löcke, T., & Plessl, C. (2017). Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 10(3), 24:1-24:23. https://doi.org/10.1145/3053687
LibreCat | Files available | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 25
Lass, M., Kühne, T., & Plessl, C. (2016). Using Approximate Computing in Scientific Codes. In Workshop on Approximate Computing (AC).
LibreCat
 
[3]
2016 | Conference Paper | LibreCat-ID: 19
Lass, M., Leibenger, D., & Sorge, C. (2016). Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. In Proc. 41st Conference on Local Computer Networks (LCN). IEEE. https://doi.org/10.1109/lcn.2016.11
LibreCat | DOI
 
[2]
2015 | Mastersthesis | LibreCat-ID: 1794
Lass, M. (2015). Localization and Analysis of Code Paths Suitable for Acceleration using Approximate Computing. Paderborn: Paderborn University.
LibreCat
 
[1]
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass, M. (2013). Sichere Speicherung vertraulicher Daten in verteilten Versionskontrollsystemen. Paderborn: Paderborn University.
LibreCat
 
Marked Publication(s)

Search

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