SkyCastle: A Resource-Aware Multi-Loop Scheduler for High-Level Synthesis. - Julian Oppermann; Lukas Sommer; Lukas Weber; Melanie Reuter-Oppermann; Andreas Koch 001; Oliver Sinnen (FPT, 2019)

Resource-Efficient Logarithmic Number Scale Arithmetic for SPN Inference on FPGAs. - Lukas Weber; Lukas Sommer; Julian Oppermann; Alejandro Molina 001; Kristian Kersting; Andreas Koch 001 (FPT, 2019)

High-Throughput Multi-Threaded Sum-Product Network Inference in the Reconfigurable Cloud. - Micha Ober; Jaco A. Hofmann; Lukas Sommer; Lukas Weber; Andreas Koch 001 (H2RC@SC, 2019)

nKV: near-data processing with KV-stores on native computational storage. - Tobias Vinçon; Arthur Bernhardt; Ilia Petrov 001; Lukas Weber; Andreas Koch 001 (DaMoN, 2020)

Comparison of Arithmetic Number Formats for Inference in Sum-Product Networks on FPGAs. - Lukas Sommer; Lukas Weber; Martin Kumm; Andreas Koch 001 (FCCM, 2020)

Improved Path Planning with Memory Efficient A* Algorithm and Optimization of Narrow Passages. - Lukas Weber; Rolf Dornberger; Thomas Hanne (HIS, 2020)

On the Necessity of Explicit Cross-Layer Data Formats in Near-Data Processing Systems. - Tobias Vinçon; Arthur Bernhardt; Lukas Weber; Andreas Koch 001; Ilia Petrov 001 (ICDE Workshops, 2020)

nKV in Action: Accelerating KV-Stores on NativeComputational Storage with Near-Data Processing. - Tobias Vinçon; Lukas Weber; Arthur Bernhardt; Andreas Koch 001; Ilia Petrov 001; Christian Knödler; Sergey Hardock; Sajjad Tamimi; Christian Riegger (Proc. VLDB Endow., 2020)

A cost model for NDP-aware query optimization for KV-stores. - Christian Knödler; Tobias Vinçon; Arthur Bernhardt; Ilia Petrov 001; Leonardo Solis-Vasquez; Lukas Weber; Andreas Koch 001 (DaMoN, 2021)

Optimizing a Hardware Network Stack to Realize an In-Network ML Inference Application. - Marco Hartmann; Lukas Weber; Johannes Wirth 002; Lukas Sommer; Andreas Koch 001 (H2RC@SC, 2021)

A Framework for the Automatic Generation of FPGA-based Near-Data Processing Accelerators in Smart Storage Systems. - Lukas Weber; Lukas Sommer; Leonardo Solis-Vasquez; Tobias Vinçon; Christian Knödler; Arthur Bernhardt; Ilia Petrov 001; Andreas Koch 001 (IPDPS Workshops, 2021)

Efficient Operator Sharing Modulo Scheduling for Sum-Product Network Inference on FPGAs. - Hanna Kruppe; Lukas Sommer; Lukas Weber; Julian Oppermann; Cristian Axenie; Andreas Koch 001 (SAMOS, 2021)

A quantum magnetic analogue to the critical point of water. - Julio Larrea Jiménez; Schelto P. G. Crone; Ellen Fogh; Mohamed E. Zayed; Rolf Lortz; Ekaterina Pomjakushina; Kazimierz Conder; Andreas M. Läuchli; Lukas Weber; Stefan Wessel; Andreas Honecker; Bruce Normand; et al. (Nat., 2021)

The TaPaSCo Open-Source Toolflow. - Carsten Heinz; Jaco A. Hofmann; Jens Korinth; Lukas Sommer; Lukas Weber; Andreas Koch 001 (J. Signal Process. Syst., 2021)

Result-Set Management for NDP Operations on Smart Storage. - Tobias Vinçon; Christian Knödler; Arthur Bernhardt; Leonardo Solis-Vasquez; Lukas Weber; Andreas Koch 001; Ilia Petrov 001 (DaMoN, 2022)

Exploiting High-Bandwidth Memory for FPGA-Acceleration of Inference on Sum-Product Networks. - Lukas Weber; Johannes Wirth 002; Lukas Sommer; Andreas Koch 001 (IPDPS Workshops, 2022)

On the necessity of explicit cross-layer data formats in near-data processing systems. - Lukas Weber; Tobias Vinçon; Christian Knödler; Leonardo Solis-Vasquez; Arthur Bernhardt; Ilia Petrov 001; Andreas Koch 001 (Distributed Parallel Databases, 2022)

Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads. - Tobias Vinçon; Christian Knödler; Leonardo Solis-Vasquez; Arthur Bernhardt; Sajjad Tamimi; Lukas Weber; Florian Stock; Andreas Koch 001; Ilia Petrov 001 (Proc. VLDB Endow., 2022)

WRF: Weighted Rouge-F1 Metric for Entity Recognition. - Lukas Weber; Krishnan Jothi Ramalingam; Matthias Beyer; Axel Zimmermann 005 (Eval4NLP, 2023)

One Hip Wonder: 1D-CNNs Reduce Sensor Requirements for Everyday Gait Analysis. - Jens Seemann; Tim Loris; Lukas Weber; Matthis Synofzik; Martin A. Giese; Winfried Ilg (ICANN (10), 2023)

Novel Architectures for Offloading and Accelerating Computations in Artificial Intelligence and Big Data. - Lukas Weber (2023)