Dr. Michael Laß
Mitglied - Wissenschaftlicher Mitarbeiter
Mitglied - Wissenschaftlicher Mitarbeiter
Fachberater für FPGA-Beschleunigung
Mitglied - Wissenschaftlicher Mitarbeiter
- E-Mail:
- michael.lass@uni-paderborn.de
- Telefon:
- +49 5251 60-1722
- ORCID:
- 0000-0002-5708-7632
- Web:
- Homepage
- Homepage (Extern)
- Social Media:
- Büroanschrift:
-
Mersinweg 5
33100 Paderborn - Raum:
- X0.128
Publikationen
Aktuelle Publikationen
Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations
M. Lass, T. Kenter, C. Plessl, M. Brehm, Entropy 26 (2024).
Scalable quantum detector tomography by high-performance computing
T. Schapeler, R. Schade, M. Lass, C. Plessl, T. Bartley, ArXiv:2404.02844 (2024).
Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics
R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, C. Plessl, The International Journal of High Performance Computing Applications (2023).
A computation of D(9) using FPGA Supercomputing
L. Van Hirtum, P. De Causmaecker, J. Goemaere, T. Kenter, H. Riebler, M. Lass, C. Plessl, ArXiv:2304.03039 (2023).
Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations
Alle Publikationen anzeigen
M. Lass, Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations, Universität Paderborn, Paderborn, 2022.