Michael Lass

19 papers A 1B 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
AuroraFlow, an Easy-to-Use, Low-Latency FPGA Communication Solution Demonstrated on Multi-FPGA Neural Network Inference.
HEART
Gerrit Pape, Bjarne Wintermann, Linus Jungemann, Michael Lass, Marius Meyer, Heinrich Riebler, Christian Plessl
2024 J jnl
A Computation of the Ninth Dedekind Number Using FPGA Supercomputing.
ACM Trans. Reconfigurable Technol. Syst.
Lennart Van Hirtum, Patrick De Causmaecker, Jens Goemaere, Tobias Kenter, Heinrich Riebler, Michael Lass, Christian Plessl
2024 J jnl
Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations.
Entropy
Michael Lass, Tobias Kenter, Christian Plessl, Martin Brehm
2024 J jnl
Scalable quantum detector tomography by high-performance computing.
CoRR
Timon Schapeler, Robert Schade, Michael Lass, Christian Plessl, Tim J. Bartley
2023 J jnl
A computation of D(9) using FPGA Supercomputing.
CoRR
Lennart Van Hirtum, Patrick De Causmaecker, Jens Goemaere, Tobias Kenter, Heinrich Riebler, Michael Lass, Christian Plessl
2023 J jnl
Breaking the exascale barrier for the electronic structure problem in
Int. J. High Perform. Comput. Appl.
Robert Schade, Tobias Kenter, Hossam Elgabarty, Michael Lass, Thomas D. Kühne, Christian Plessl
2022 — —
Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations.
Michael Lass
2022 J jnl
Towards electronic structure-based
Parallel Comput.
Robert Schade, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, Stephan Mohr, Jürg Hutter, Thomas D. Kühne, Christian Plessl
2021 J jnl
Enabling Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.
CoRR
Robert Schade, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, Stephan Mohr, Jürg Hutter, Thomas D. Kühne, Christian Plessl
2020 J jnl
A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K.
CoRR
Michael Lass, Robert Schade, Thomas D. Kühne, Christian Plessl
2020 A conf
A submatrix-based method for approximate matrix function evaluation in the quantum chemistry code CP2K.
SC
Michael Lass, Robert Schade, Thomas D. Kühne, Christian Plessl
2020 J jnl
Accurate Sampling with Noisy Forces from Approximate Computing.
Comput.
Varadarajan Rengaraj, Michael Lass, Christian Plessl, Thomas D. Kühne
2019 J jnl
Accurate Sampling with Noisy Forces from Approximate Computing.
CoRR
Varadarajan Rengaraj, Michael Lass, Christian Plessl, Thomas D. Kühne
2018 — conf
A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices.
PASC
Michael Lass, Stephan Mohr, Hendrik Wiebeler, Thomas D. Kühne, Christian Plessl
2018 J jnl
Using Approximate Computing for the Calculation of Inverse Matrix
IEEE Embed. Syst. Lett.
Michael Lass, Thomas D. Kühne, Christian Plessl
2017 J jnl
A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices.
CoRR
Michael Lass, Stephan Mohr, Thomas D. Kühne, Christian Plessl
2017 J jnl
Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs.
ACM Trans. Reconfigurable Technol. Syst.
Heinrich Riebler, Michael Lass, Robert Mittendorf, Thomas Löcke, Christian Plessl
2017 J jnl
Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots.
CoRR
Michael Lass, Thomas D. Kühne, Christian Plessl
2016 B conf
Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension.
LCN
Michael Lass, Dominik Leibenger, Christoph Sorge