Michael Lass
Orcid: 0000-0002-5708-7632
According to our database1,
Michael Lass
authored at least 13 papers
between 2016 and 2023.
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Bibliography
2023
Breaking the exascale barrier for the electronic structure problem in <i>ab-initio</i> molecular dynamics.
Int. J. High Perform. Comput. Appl., September, 2023
2022
Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations.
PhD thesis, 2022
Towards electronic structure-based <i>ab-initio</i> molecular dynamics simulations with hundreds of millions of atoms.
Parallel Comput., 2022
2021
Enabling Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.
CoRR, 2021
2020
A submatrix-based method for approximate matrix function evaluation in the quantum chemistry code CP2K.
Proceedings of the International Conference for High Performance Computing, 2020
2018
IEEE Embed. Syst. Lett., 2018
A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2018
2017
Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs.
ACM Trans. Reconfigurable Technol. Syst., 2017
A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices.
CoRR, 2017
CoRR, 2017
2016
Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension.
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016