Research staff
Lukas Groth, M. Sc.
- l.groth@uni-luebeck.de
- Phone
- +49 451 3101 6345
- Office
- Building 64, Room 104 (2nd Floor)
- Address
- Universität zu Lübeck
Institut für technische Informatik
Ratzeburger Allee 160
23562 Lübeck
Germany
Teaching
WiSe 2026/27
Earlier semesters (2)
- SoSe 2026
- Rechnerarchitektur
- WiSe 2025/26
- Parallel Computing Systems for Master-AI, Parallelrechnersysteme
Publications
A. Gutermann,
L. Groth,
A. Neskovic,
S. Mulhem, and
M. Berekovic
Multi-Partner Project: CeCaS Accelerator Design for Efficient Supercomputing in Automotive Systems
2026 Design, Automation & Test in Europe Conference (DATE), IEEE, Verona, Italy 2026, 2,026
URL, RIS, BibTex
Multi-Partner Project: CeCaS Accelerator Design for Efficient Supercomputing in Automotive Systems
2026 Design, Automation & Test in Europe Conference (DATE), IEEE, Verona, Italy 2026, 2,026
URL, RIS, BibTex
L. Groth,
A. Neskovic,
R. Buchty,
M. Berekovic, and
S. Mulhem
Compatibility Ratio as a Guideline for Hardware/DNN Co-Design of Embedded Accelerators
ACM Transactions on Embedded Computing Systems, ACM, 2026, 2,026
URL, DOI, RIS, BibTex
Compatibility Ratio as a Guideline for Hardware/DNN Co-Design of Embedded Accelerators
ACM Transactions on Embedded Computing Systems, ACM, 2026, 2,026
URL, DOI, RIS, BibTex
S. Mulhem,
E. Schultz,
L. Groth,
M. Berekovic, and
R. Buchty
Optimizing Systolic Array-Based NTT Accelerators
IEEE Embedded Systems Letters, IEEE, 2025, 2,025
URL, DOI, RIS, BibTex
Optimizing Systolic Array-Based NTT Accelerators
IEEE Embedded Systems Letters, IEEE, 2025, 2,025
URL, DOI, RIS, BibTex
A. Nechi,
L. Groth,
S. Mulhem,
F. Merchant,
R. Buchty, and
M. Berekovic
FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?
ACM Transactions on Reconfigurable Technology and Systems, 16(4), 1-32, 2,023
RIS, BibTex
FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?
ACM Transactions on Reconfigurable Technology and Systems, 16(4), 1-32, 2,023
RIS, BibTex