Lass, Michael. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Paderborn: Universität Paderborn, 2022.https://doi.org/10.17619/UNIPB/1-1281 .

Thiele, Simon. Implementing Machine Learning Functions as PYNQ FPGA Overlays, 2020.

Jaganath, Vivek. Extension and Evaluation of Python-Based High-Level Synthesis Tool Flows, 2020.

Jentzsch, Felix P. Design and Implementation of a ReconOS-Based TensorFlow Lite Delegate Architecture, 2020.

Vaz, Gavin Francis. Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems. Universität Paderborn, 2019.

Riebler, Heinrich. Efficient Parallel Branch-and-Bound Search on FPGAs Using Work Stealing and Instance-Specific Designs, 2019.https://doi.org/10.17619/UNIPB/1-830 .

Filmwala, Tasneem. Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate It on FPGA Platform. Universität Paderborn, 2018.

Gadewar, Onkar. Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL. Universität Paderborn, 2018.

Ramaswami, Arjun. Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA. Universität Paderborn, 2018.

Tölke, Christian. Sicherheit von Hybriden FPGA-Systemen in Der Industriellen Automatisierungstechnik -- Anforderungen Und Umsetzung. Universität Paderborn, 2016.

Wüllrich, Gunnar. Dynamic OpenCL Task Scheduling for Energy and Performance in a Heterogeneous Environment. Universität Paderborn, 2016.

Kenter, Tobias. Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn, 2016.

Lass, Michael. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University, 2015.

Funke, Lukas. An LLVM Based Toolchain for Transparent Acceleration of Digital Image Processing Applications Using FPGA Overlay Architectures. Universität Paderborn, 2015.

Löcke, Thomas. Instance-Specific Computing in Hard- and Software for Faster Solving of Complex Problems. Universität Paderborn, 2015.

Wallaschek, Felix. Accelerating Programmable Logic Controllers with the Use of FPGAs. Universität Paderborn, 2015.

Beisel, Tobias. Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing. Berlin: Logos Verlag Berlin GmbH, 2015.