Follow
Michael Lass
Michael Lass
Department of Computer Science, Paderborn University
Verified email at uni-paderborn.de
Title
Cited by
Cited by
Year
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), 2020
17012020
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
232022
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
112018
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
The International Journal of High Performance Computing Applications 37 (5 …, 2023
82023
Accurate sampling with noisy forces from approximate computing
V Rengaraj, M Lass, C Plessl, TD Kühne
Computation 8 (2), 39, 2020
82020
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
82019
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
72020
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
52018
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
52016
A computation of D (9) using FPGA Supercomputing
L Van Hirtum, P De Causmaecker, J Goemaere, T Kenter, H Riebler, ...
arXiv preprint arXiv:2304.03039, 2023
32023
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
22017
Approaching Mega-Scale Quantum Detector Tomography using High-Performance Computing
T Schapeler, M Lass, C Plessl, TJ Bartley
Quantum 2.0, QW4C. 6, 2023
2023
Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations
M Laß
PADERBORN UNIVERSITY, 2021
2021
Using Approximate Computing in Scientific Codes
M Lass, TD Kühne, C Plessl
Workshop on Approximate Computing, Embedded Systems Week, 2016
2016
Localization and Analysis of Code Paths Suitable for Acceleration using Approximate Computing
M Lass
2015
Sichere Speicherung vertraulicher Daten in verteilten Versionskontrollsystemen
M Lass
2013
The system can't perform the operation now. Try again later.
Articles 1–16