Lass, Michael. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn, 2022, doi:10.17619/UNIPB/1-1281.
LibreCat: /record/32414
DOI: 10.17619/UNIPB/1-1281

Thiele, Simon. Implementing Machine Learning Functions as PYNQ FPGA Overlays. 2020.
LibreCat: /record/20820

Jaganath, Vivek. Extension and Evaluation of Python-Based High-Level Synthesis Tool Flows. 2020.
LibreCat: /record/20821

Jentzsch, Felix P. Design and Implementation of a ReconOS-Based TensorFlow Lite Delegate Architecture. 2020.
LibreCat: /record/21433

Vaz, Gavin Francis. Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems. Universität Paderborn, 2019.
LibreCat: /record/14849

Riebler, Heinrich. Efficient Parallel Branch-and-Bound Search on FPGAs Using Work Stealing and Instance-Specific Designs. 2019, doi:10.17619/UNIPB/1-830.
LibreCat: /record/34167
DOI: 10.17619/UNIPB/1-830

Filmwala, Tasneem. Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate It on FPGA Platform. Universität Paderborn, 2018.
LibreCat: /record/5414

Gadewar, Onkar. Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL. Universität Paderborn, 2018.
LibreCat: /record/5421

Ramaswami, Arjun. Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA. Universität Paderborn, 2018.
LibreCat: /record/5417

Tölke, Christian. Sicherheit von Hybriden FPGA-Systemen in Der Industriellen Automatisierungstechnik -- Anforderungen Und Umsetzung. Universität Paderborn, 2016.
LibreCat: /record/5418