Michael Lass
Michael Lass
Department of Computer Science, Paderborn University
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
CP2K: An electronic structure and molecular dynamics software package-Quickstep: Efficient and accurate electronic structure calculations
TD Kühne, M Iannuzzi, M Del Ben, VV Rybkin, P Seewald, F Stein, ...
The Journal of Chemical Physics 152 (19), 194103, 2020
A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices
M Lass, S Mohr, H Wiebeler, TD Kühne, C Plessl
Proceedings of the Platform for Advanced Scientific Computing Conference, 1-11, 2018
Accurate sampling with noisy forces from approximate computing
V Rengaraj, M Lass, C Plessl, TD Kühne
Computation 8 (2), 39, 2020
A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices
D Richters, M Lass, A Walther, C Plessl, TD Kühne
Communications in Computational Physics 25 (2), 564-585, 2019
Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms
R Schade, T Kenter, H Elgabarty, M Lass, O Schütt, A Lazzaro, H Pabst, ...
Parallel Computing 111, 102920, 2022
Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots
M Lass, TD Kühne, C Plessl
IEEE Embedded Systems Letters 10 (2), 33-36, 2018
Confidentiality and Authenticity for Distributed Version Control Systems-A Mercurial Extension
M Lass, D Leibenger, C Sorge
Local Computer Networks (LCN), 2016 IEEE 41st Conference on, 1-9, 2016
A submatrix-based method for approximate matrix function evaluation in the quantum chemistry code CP2K
M Lass, R Schade, TD Kühne, C Plessl
SC20: International Conference for High Performance Computing, Networking …, 2020
Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs
H Riebler, M Lass, R Mittendorf, T Löcke, C Plessl
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10 (3), 1-23, 2017
Breaking the Exascale Barrier for the Electronic Structure Problem in Ab-Initio Molecular Dynamics
R Schade, T Kenter, H Elgabarty, M Lass, TD Kühne, C Plessl
arXiv preprint arXiv:2205.12182, 2022
Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations
M Laß
Using Approximate Computing in Scientific Codes
M Lass, TD Kühne, C Plessl
Workshop on Approximate Computing, Embedded Systems Week, 2016
Localization and Analysis of Code Paths Suitable for Acceleration using Approximate Computing
M Lass
Sichere Speicherung vertraulicher Daten in verteilten Versionskontrollsystemen
M Lass
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