Dr.-Ing. Stefan Wildermann



Organisation


Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)


Awards / Honours


2010 : Best Paper Award: Self-Organizing Computer Vision for Robust Object Tracking in Smart Cameras



Project lead


(DFG Priority Programme (SPP) 2037 - Scalable Data Management for Future Hardware):
ReProVide: Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis
Prof. Dr.-Ing. Klaus Meyer-Wegener; Dr.-Ing. Stefan Wildermann; Prof. Dr.-Ing. Jürgen Teich
(28/08/2017 - 31/08/2020)

(ESI-Anwendungszentrum für die digitale Automatisierung, den digitalen Sport und die Automobilsensorik der Zukunft):
Automobilsensorik@ESI: Automobilsensorik@ESI
Prof. Dr.-Ing. Jürgen Teich; Dr.-Ing. Stefan Wildermann
(05/10/2015 - 31/12/2018)

Energy-efficient Query Processing by Adaptive Dynamic Reconfiguration of FPGA-based, Heterogeneous Accelerator Systems
Dr.-Ing. Stefan Wildermann
(01/10/2014 - 31/12/2016)

(TRR 89: Invasive Computing):
Basics of Invasive Computing (A01)
Prof. Dr.-Ing. Jürgen Teich; Dr.-Ing. Stefan Wildermann
(01/07/2010 - 30/06/2022)


Project member

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SHARE: SHARE at FAU
Prof. Dr.-Ing. Jürgen Teich
(01/08/2018 - 31/07/2020)

AConFPGA: Approximate Computing on FPGAs
Prof. Dr.-Ing. Jürgen Teich
(13/03/2017)

SSI: Sustainable Smart Industry
Prof. Dr. Kai-Ingo Voigt
(01/01/2017 - 31/12/2019)

AdaptAC: Adaptive Approximate Computing in FPGA-basierter Bildverarbeitung
Prof. Dr.-Ing. Jürgen Teich
(24/08/2016 - 31/12/2017)

CogniPower: Cognitive Power Control for Mobile Devices
Prof. Dr.-Ing. Jürgen Teich
(01/01/2016 - 31/12/2018)


Publications (Download BibTeX)

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Schwarzer, T., Falk, J., Müller, S., Letras, M., Heidorn, C., Wildermann, S., & Teich, J. (2019). Compilation of Dataflow Applications for Multi-Cores using Adaptive Multi-Objective Optimization. ACM Transactions on Design Automation of Electronic Systems, 24(3). https://dx.doi.org/10.1145/3310249
Spieck, J., Wildermann, S., Schwarzer, T., Teich, J., & Glaß, M. (2019). Data-Driven Scenario-based Application Mapping for Heterogeneous Many-Core Systems. In Multicore/Many-core Systems-on-Chip (MCSoC 2019). Singapore, SG.
Pourmohseni, B., Wildermann, S., Glaß, M., & Teich, J. (2019). Hard Real-Time Application Mapping Reconfiguration for NoC-Based Many-Core Systems. Real-Time Systems, 1-37. https://dx.doi.org/10.1007/s11241-019-09326-y
Pourmohseni, B., Smirnov, F., Wildermann, S., & Teich, J. (2019). Isolation-Aware Timing Analysis and Design Space Exploration for Predictable and Composable Many-Core Systems. In Proceedings of the 31th Euromicro Conference on Real-Time Systems (ECRTS'19) (pp. (accepted)). Stuttgart, Germany.
Becher, A., Herrmann, A., Wildermann, S., & Teich, J. (2019). ReProVide: Towards Utilizing Heterogeneous Partially Reconfigurable Architectures for Near-Memory Data Processing. In Gesellschaft für Informatik, Bonn (Eds.), Proceedings of the 1st Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC) (pp. 51-70). Universität Rostock, DE: Bonn: Gesellschaft für Informatik.
Gabriel, D., Stechele, W., & Wildermann, S. (2019). Resource-aware parameter tuning for real-time applications. In Martin Schoeberl, Thilo Pionteck, Sascha Uhrig, Jürgen Brehm, Christian Hochberger (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 45-55). Copenhagen, DK: Springer Verlag.
Hochradel, K., Häcker, T., Hohler, T., Becher, A., Wildermann, S., & Sutor, A. (2019). Three-dimensional localization of bats: visual and acoustical. IEEE Sensors Journal, 1-1. https://dx.doi.org/10.1109/JSEN.2019.2907399
Echavarria Gutiérrez, J.A., Wildermann, S., & Teich, J. (2018). AConFPGA: A Multiple-Output Boolean Function Approximation DSE Technique Targeting FPGAs. In Proceedings of 2018 International Conference on Field Programmable Technology. Naha, Okinawa, JP.
Weichslgartner, A., Wildermann, S., Gangadharan, D., Glaß, M., & Teich, J. (2018). A Design-Time/Run-Time Application Mapping Methodology for Predictable Execution Time in MPSoCs. ACM Transactions on Embedded Computing Systems.
Richthammer, V., Schwarzer, T., Wildermann, S., Teich, J., & Glaß, M. (2018). Architecture Decomposition in System Synthesis of Heterogeneous Many-Core Systems. In Proceedings of the 55th ACM/EDAC/IEEE Design Automation Conference (DAC 2018). San Francisco, CA, US.

Last updated on 2016-04-06 at 05:02