Michael Lass

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Branch And Bound Procedure

Sparse Matrices

Massively Parallel

Molecular Dynamics

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

IEEE Embed. Syst. Lett.

Publications

Michael Lass, Tobias Kenter, Christian Plessl, Martin Brehm
Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations. Entropy 26 (4) (2024)
Timon Schapeler, Robert Schade, Michael Lass, Christian Plessl, Tim J. Bartley
Scalable quantum detector tomography by high-performance computing. CoRR (2024)
Lennart Van Hirtum, Patrick De Causmaecker, Jens Goemaere, Tobias Kenter, Heinrich Riebler, Michael Lass, Christian Plessl
A computation of D(9) using FPGA Supercomputing. CoRR (2023)
Robert Schade, Tobias Kenter, Hossam Elgabarty, Michael Lass, Thomas D. Kühne, Christian Plessl
molecular dynamics. Int. J. High Perform. Comput. Appl. 37 (5) (2023)
Robert Schade, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, Stephan Mohr, Jürg Hutter, Thomas D. Kühne, Christian Plessl
molecular dynamics simulations with hundreds of millions of atoms. Parallel Comput. 111 (2022)
Robert Schade, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, Stephan Mohr, Jürg Hutter, Thomas D. Kühne, Christian Plessl
Enabling Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms. CoRR (2021)
Michael Lass, Robert Schade, Thomas D. Kühne, Christian Plessl
A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K. CoRR (2020)
Michael Lass, Robert Schade, Thomas D. Kühne, Christian Plessl
A submatrix-based method for approximate matrix function evaluation in the quantum chemistry code CP2K. SC (2020)
Varadarajan Rengaraj, Michael Lass, Christian Plessl, Thomas D. Kühne
Accurate Sampling with Noisy Forces from Approximate Computing. Comput. 8 (2) (2020)
Varadarajan Rengaraj, Michael Lass, Christian Plessl, Thomas D. Kühne
Accurate Sampling with Noisy Forces from Approximate Computing. CoRR (2019)
Michael Lass, Stephan Mohr, Hendrik Wiebeler, Thomas D. Kühne, Christian Plessl
A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices. PASC (2018)
Michael Lass, Thomas D. Kühne, Christian Plessl
th Roots. IEEE Embed. Syst. Lett. 10 (2) (2018)
Heinrich Riebler, Michael Lass, Robert Mittendorf, Thomas Löcke, Christian Plessl
Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Trans. Reconfigurable Technol. Syst. 10 (3) (2017)
Michael Lass, Stephan Mohr, Thomas D. Kühne, Christian Plessl
A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices. CoRR (2017)
Michael Lass, Thomas D. Kühne, Christian Plessl
Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. CoRR (2017)
Michael Lass, Dominik Leibenger, Christoph Sorge
Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. LCN (2016)