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 M, Kenter T, Plessl C, Brehm M. Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations. Entropy. 2024;26(4). doi:10.3390/e26040322
LibreCat | DOI
 
[16]
2024 | Preprint | LibreCat-ID: 53202
Schapeler T, Schade R, Lass M, Plessl C, Bartley T. Scalable quantum detector tomography by high-performance computing. arXiv:240402844. Published online 2024.
LibreCat | arXiv
 
[15]
2023 | Journal Article | LibreCat-ID: 45361 | OA
Schade R, Kenter T, Elgabarty H, Lass M, Kühne T, Plessl C. Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications. Published online 2023. doi:10.1177/10943420231177631
LibreCat | DOI | Download (ext.)
 
[14]
2023 | Preprint | LibreCat-ID: 43439
Van Hirtum L, De Causmaecker P, Goemaere J, et al. A computation of D(9) using FPGA Supercomputing. arXiv:230403039. Published online 2023.
LibreCat | arXiv
 
[13]
2022 | Dissertation | LibreCat-ID: 32414
Lass M. 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 R, Kenter T, Elgabarty H, et al. Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing. 2022;111. doi:10.1016/j.parco.2022.102920
LibreCat | DOI | Download (ext.)
 
[11]
2020 | Journal Article | LibreCat-ID: 16277 | OA
Kühne T, Iannuzzi M, Ben MD, et al. CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics. 2020;152(19). doi:10.1063/5.0007045
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[10]
2020 | Conference Paper | LibreCat-ID: 16898
Lass M, Schade R, Kühne T, Plessl C. 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). IEEE Computer Society; 2020:1127-1140. doi:10.1109/SC41405.2020.00084
LibreCat | DOI | Download (ext.) | arXiv
 
[9]
2020 | Journal Article | LibreCat-ID: 12878 | OA
Rengaraj V, Lass M, Plessl C, Kühne T. Accurate Sampling with Noisy Forces from Approximate Computing. Computation. 2020;8(2). doi:10.3390/computation8020039
LibreCat | DOI | Download (ext.) | arXiv
 
[8]
2019 | Journal Article | LibreCat-ID: 21
Richters D, Lass M, Walther A, Plessl C, Kühne T. A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics. 2019;25(2):564-585. doi:10.4208/cicp.OA-2018-0053
LibreCat | DOI | arXiv
 
[7]
2018 | Journal Article | LibreCat-ID: 20
Lass M, Kühne T, Plessl C. Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters. 2018;10(2):33-36. doi: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. 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. ACM; 2018. doi:10.1145/3218176.3218231
LibreCat | DOI | arXiv
 
[5]
2017 | Journal Article | LibreCat-ID: 18
Riebler H, Lass M, Mittendorf R, Löcke T, Plessl C. Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS). 2017;10(3):24:1-24:23. doi:10.1145/3053687
LibreCat | Files available | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 19
Lass M, Leibenger D, Sorge C. Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. In: 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 M, Kühne T, Plessl C. Using Approximate Computing in Scientific Codes. In: Workshop on Approximate Computing (AC). ; 2016.
LibreCat
 
[2]
2015 | Mastersthesis | LibreCat-ID: 1794
Lass M. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University; 2015.
LibreCat
 
[1]
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass M. 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 M, Kenter T, Plessl C, Brehm M. Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations. Entropy. 2024;26(4). doi:10.3390/e26040322
LibreCat | DOI
 
[16]
2024 | Preprint | LibreCat-ID: 53202
Schapeler T, Schade R, Lass M, Plessl C, Bartley T. Scalable quantum detector tomography by high-performance computing. arXiv:240402844. Published online 2024.
LibreCat | arXiv
 
[15]
2023 | Journal Article | LibreCat-ID: 45361 | OA
Schade R, Kenter T, Elgabarty H, Lass M, Kühne T, Plessl C. Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications. Published online 2023. doi:10.1177/10943420231177631
LibreCat | DOI | Download (ext.)
 
[14]
2023 | Preprint | LibreCat-ID: 43439
Van Hirtum L, De Causmaecker P, Goemaere J, et al. A computation of D(9) using FPGA Supercomputing. arXiv:230403039. Published online 2023.
LibreCat | arXiv
 
[13]
2022 | Dissertation | LibreCat-ID: 32414
Lass M. 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 R, Kenter T, Elgabarty H, et al. Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing. 2022;111. doi:10.1016/j.parco.2022.102920
LibreCat | DOI | Download (ext.)
 
[11]
2020 | Journal Article | LibreCat-ID: 16277 | OA
Kühne T, Iannuzzi M, Ben MD, et al. CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics. 2020;152(19). doi:10.1063/5.0007045
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[10]
2020 | Conference Paper | LibreCat-ID: 16898
Lass M, Schade R, Kühne T, Plessl C. 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). IEEE Computer Society; 2020:1127-1140. doi:10.1109/SC41405.2020.00084
LibreCat | DOI | Download (ext.) | arXiv
 
[9]
2020 | Journal Article | LibreCat-ID: 12878 | OA
Rengaraj V, Lass M, Plessl C, Kühne T. Accurate Sampling with Noisy Forces from Approximate Computing. Computation. 2020;8(2). doi:10.3390/computation8020039
LibreCat | DOI | Download (ext.) | arXiv
 
[8]
2019 | Journal Article | LibreCat-ID: 21
Richters D, Lass M, Walther A, Plessl C, Kühne T. A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics. 2019;25(2):564-585. doi:10.4208/cicp.OA-2018-0053
LibreCat | DOI | arXiv
 
[7]
2018 | Journal Article | LibreCat-ID: 20
Lass M, Kühne T, Plessl C. Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters. 2018;10(2):33-36. doi: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. 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. ACM; 2018. doi:10.1145/3218176.3218231
LibreCat | DOI | arXiv
 
[5]
2017 | Journal Article | LibreCat-ID: 18
Riebler H, Lass M, Mittendorf R, Löcke T, Plessl C. Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS). 2017;10(3):24:1-24:23. doi:10.1145/3053687
LibreCat | Files available | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 19
Lass M, Leibenger D, Sorge C. Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. In: 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 M, Kühne T, Plessl C. Using Approximate Computing in Scientific Codes. In: Workshop on Approximate Computing (AC). ; 2016.
LibreCat
 
[2]
2015 | Mastersthesis | LibreCat-ID: 1794
Lass M. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University; 2015.
LibreCat
 
[1]
2013 | Bachelorsthesis | LibreCat-ID: 1795
Lass M. Sichere Speicherung Vertraulicher Daten in Verteilten Versionskontrollsystemen. Paderborn: Paderborn University; 2013.
LibreCat
 
Marked Publication(s)

Search

Filter Publications

Display / Sort

Citation Style: AMA

Export / Embed