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Chair for Embedded Systems
Chair for Embedded Systems
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    rapp

    M.Sc. Martin Rapp

    • Haid-und-Neu-Str. 7
      Bldg. 07.21
      76131 Karlsruhe

    Short Bio

    Martin Rapp joined the Chair for Embedded Systems in November 2017 as a research assistant. He received a B.Sc. degree - with distinction - and M.Sc. degree - with distinction - in Computer Science from the Karlsruhe Institute of Technology in 2014 and 2016, respectively. Currently, he is pursuing his PhD under the supervision of Prof. Dr. Jörg Henkel.

     

    Publications

    Journals
    Martin Rapp, Anuj Pathania, Tulika Mitra, and Jörg Henkel
    Neural Network-based Performance Prediction for Task Migration on S-NUCA Many-Cores
    in IEEE Transactions on Computers (TC), DOI, PDF, early access 2020.

    Sami Salamin, Martin Rapp, Anuj Pathania, Arka Maity, Jörg Henkel, Tulika Mitra, and Hussam Amrouch
    Power-Efficient Heterogeneous Many-Core Design with NCFET Technology
    in IEEE Transactions on Computers (TC), DOI, PDF, early access 2020.

    Behnaz Pourmohseni, Michael Glaß, Jörg Henkel, Heba Khdr, Martin Rapp, Valentina Richthammer, Tobias Schwarzer, Fedor Smirnov, Jan Spieck, Jürgen Teich, Andreas Weichslgartner, Stefan Wildermann
    Hybrid Application Mapping for Composable Many-Core Systems: Overview and Future Perspective
    Journal of Low Power Electronics and Applications (Vol. 10, Issue 4), DOI, PDF, Nov 2020.

    Mark Sagi, Nguyen Anh Vu Doan, Martin Rapp, Thomas Wild, Jörg Henkel and Andreas Herkersdorf
    A Lightweight Nonlinear Methodology to Accurately Model Multi-Core Processor Power
    in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), ESWEEK Special Issue, DOI, PDF, Nov 2020.

    Sami Salamin, Martin Rapp, Jörg Henkel, Andreas Gerstlauer and Hussam Amrouch
    Dynamic Power and Energy Management for NCFET-based Processors
    in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), ESWEEK Special Issue, DOI, PDF, Nov 2020.

    Martin Rapp, Mark Sagi, Anuj Pathania, Andreas Herkersdorf, Jörg Henkel
    Power- and Cache-Aware Task Mapping with Dynamic Power Budgeting for Many-Cores
    in IEEE Transactions on Computers (TC, Vol. 69, Issue 1), DOI, PDF, Video, Jan 2020.

    Conferences
      Mark Sagi, Martin Rapp, Heba Khdr, Yizhe Zhang, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, Jörg Henkel and Andreas Herkersdorf
      Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors
      in IEEE/ACM 24th Design, Automation and Test in Europe Conference (DATE'21), Virtual Conference, Feb 1-5 2021.

      Sami Salamin, Martin Rapp, Hussam Amrouch, Andreas Gerstlauer and Jörg Henkel
      Energy Optimization in NCFET-based Processors (IP)
      in IEEE/ACM 23rd Design, Automation and Test in Europe Conference (DATE'20), Grenoble, France, DOI, PDF, Mar 9-13 2020.

      Jörg Henkel, Hussam Amrouch, Martin Rapp, Sami Salamin, Dayane Reis, Di Gao , Xunzhao Yin, Michael Niemier, Cheng Zhuo, X. Sharon Hu, Hsiang-Yun Cheng, Chia-Lin Yang
      The Impact of Emerging Technologies on Architectures and System-level Management (special session)
      in IEEE/ACM 38th International Conference on Computer-Aided Design (ICCAD),Westminster, CO, DOI, PDF, Nov 4-7 2019.

      Sami Salamin, Martin Rapp, Hussam Amrouch, Girish Pahwa, Yogesh S. Chauhan, and Jörg Henkel
      NCFET-Aware Voltage Scaling
      in IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED'19), Lausanne, Switzerland, DOI, PDF, Jul 29-31 2019.

      Martin Rapp, Sami Salamin, Hussam Amrouch, Girish Pahwa, Yogesh S. Chauhan and Jörg Henkel
      Performance, Power and Cooling Trade-Offs with NCFET-based Many-Cores
      in ACM/EDAC/IEEE 56rd Design Automation Conference (DAC), Las Vegas, USA, DOI, PDF, Jun 2-6 2019.

      Jörg Henkel, Heba Khdr, Martin Rapp
      Smart Thermal Management for Heterogeneous Multicores (Special Session)
      in IEEE/ACM 22nd Design, Automation and Test in Europe Conference (DATE'19), Florence, Italy, DOI, PDF, Mar 25-29 2019.

      Martin Rapp, Anuj Pathania, Tulika Mitra and Jörg Henkel
      Prediction-Based Task Migration on S-NUCA Many-Cores (IP)
      in IEEE/ACM 22nd Design, Automation and Test in Europe Conference (DATE'19), Florence, Italy, DOI, PDF, Mar 25-29 2019.

      Martin Rapp, Anuj Pathania and Jörg Henkel
      Pareto-Optimal Power- and Cache-Aware Task Mapping for Many-Cores with Distributed Shared Last-Level Cache
      in ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED'18), Bellevue, Washington, USA, DOI, PDF, Jul 23-25 2018.

    Books / Book Chapter
      Hussam Amrouch, Martin Rapp, Sami Salamin, Jörg Henkel
      Impact of Negative Capacitance Field-Effect Transistor (NCFET) on Many-Core Systems
      Chapter in A Journey of Embedded and Cyber-Physical Systems - Essays Dedicated to Peter Marwedel on the Occasion of His 70th Birthday, Springer International Publishing, DOI, PDF, 2020.

      Marvin Damschen, Martin Rapp, Lars Bauer, Jörg Henkel
      i-Core: A runtime-reconfigurable processor platform for cyber-physical systems
      Chapter in Embedded, Cyber-Physical, and IoT Systems: Smart Cameras, Hardware/Software Co-Design, and Multimedia — Essays Dedicated to Marilyn Wolf on the Occasion of Her 60th Birthday, Springer International Publishing, DOI, PDF, 2020.

    Workshops
      Martin Rapp, Omar Elfatairy, Marilyn Wolf, Jörg Henkel, Hussam Amrouch
      Towards NN-based Online Estimation of the Full-Chip Temperature and the Rate of Temperature Change
      Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD, DOI, PDF, Nov 2020.

      Martin Rapp, Hussam Amrouch, Marilyn Wolf, Jörg Henkel
      Machine Learning Techniques to Support Many-Core Resource Management: Challenges and Opportunities
      in ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), Canmore, Canada, DOI, PDF, Sep 3-4 2019.

      Sami Salamin, Martin Rapp, Jörg Henkel und Hussam Amrouch
      Negative Capacitance Transistor to Rescue Technology Scaling
      Workshop Testmethoden und Zuverlässigkeit von Schaltungen und Systemen (TuZ 2020), 2020.

    arXiv
      Martin Rapp, Ramin Khalili, Jörg Henkel
      Distributed Learning on Heterogeneous Resource-Constrained Devices
      in arXiv, PDF, Jun 2020.

    Student Theses

    Available Theses

    Abbreviation: D - Diploma Thesis, M - Master Thesis, S - Student Work, B - Bachelor Thesis.


    Topic Type of work Mentor
    Machine Learning-based Resource Management for Many-Core Processors ( PDF )MRapp, Martin / Khdr, Heba

    Ongoing projects
    Name Type of
    work    		 Title Mentor
    Drehwald, ManuelHiwiDistributed Machine Learning with Resource ConstraintsRapp, Martin
    Krohmer, NikitaMaster thesisML-Supported Resource ManagementRapp, Martin / Khdr, Heba

    Finished projects
    Name Type of work TitleMentor Completion date
    Krohmer, NikitaHiwiAccelerated Online Machine LearningRapp, Martin20-11-30
    Elfatairy, OmarBachelor thesisTowards Continuous Full-Chip Thermal Map Estimation using Neural Network-based Predictions of the Temperature GradientRapp, Martin / Amrouch, Hussam20-07-31
    Petrovski, StefanBachelor thesisAnalyzing a Processor Thermal Map from Infrared Measurements Using Machine LearningRapp, Martin / Amrouch, Hussam20-04-10
    Paramadathil, AiswaryaMaster thesisTask Rotation on S-NUCA Many-CoresRapp, Martin19-07-31