Jutta Pirkl

    Curriculum Vitæ

    since May, 2016 Researcher at the Department of Computer Science 12 (Hardware/Software Co-Design)Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
    2013 – 2016 M. Sc. Information and Communication Technology, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
    2010 – 2013 B. Sc. Business Administration and Engineering – Information and Communication Systems, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
    January, 1991 Born in Sulzbach-Rosenberg, Germany

    Research Projects

    • AdaptAC: Approximate Computing in FPGA-Based Image Processing
    • SecRec: Physical Security by Dynamic Hardware Reconfiguration

    Research Interests

    • Reconfigurable Computing for Digital Signal Processing
    • Self-Adaptive Reconfigurable Systems
    • Approximate Computing
    • Intersection between Machine Learning and Computer Architecture
    • Deep Learning


    WS 2017/2018
    SS 2017

    WS 2016/2017

    Open Theses

    Supervised Theses

    • FPGA-Oriented Approximation of Deep Convolutional Neural Networks by Means of Pruning Techniques
    • Simulation of Approximate Hardware for the Application in Computer Vision
    • Tailor-Made FPGA Implementations Using RapidSmith2
    • Automatic Generation of Implementation Variants of FPGA-Based Circuits by Means of RapidSmith2
    • Protection of FPGA-Based Cryptographic Implementations Against Fault Injection Attacks
    • On Switching Activity Minimization Using Approximate Computing Techniques to Reduce Dynamic Power Consumption in FPGAs







    • Pirkl  J.:
      Self-Adaptive FPGA-Based Image Processing Filters Using Approximate Arithmetics
      20th International Workshop on Software and Compilers for Embedded Systems (SCOPES’17), St. Goar, Germany, June 12, 2017.
      PDF: Download


    • Pirkl  J.:
      Hybrid Energy-Aware Reconfiguration Management on Xilinx Zynq SoCs
      International Conference on Reconfigurable Computing and FPGAs (ReConFig), Cancún, Mexico, December 2, 2016.
      PDF: Download