Andreas Becher



Organisation


Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Awards / Honours


2015 : Best Paper Award: Reliability of Space-Grade vs. COTS SRAM-based FPGA in N-Modular Redundancy


Project member


(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)

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


Publications (Download BibTeX)

Go to first page Go to previous page 1 of 2 Go to next page Go to last page

Becher, A., & Teich, J. (2019). In situ Statistics Generation within partially reconfigurable Hardware Accelerators for Query Processing. In Proceedings of the 15th International Workshop on Data Management on New Hardware (DaMoN) Held with ACM SIGMOD/PODS 2019. Amsterdam, NL.
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.
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., Schütz, K., Becher, A., Wildermann, S., & Teich, J. (2018). Can Approximate Computing Reduce Power Consumption on FPGAs? In Proceedings of IEEE International Conference on Electronics Circuits and Systems. Bordeaux, FR.
Hochradel, K., Hohler, T., Becher, A., Wildermann, S., & Sutor, A. (2018). Development of a multisensor array for localizing bats in space. Journal of Physics: Conference Series, 1065, 072014. https://dx.doi.org/10.1088/1742-6596/1065/7/072014
Echavarria Gutiérrez, J.A., Schütz, K., Becher, A., Wildermann, S., & Teich, J. (2018). Evaluation of Approximate Computing Techniques for Power Reduction on FPGAs. In Proceedings of the AxC18: 3rd Workshop on Approximate Computing. Swissôtel Bremen, DE.
Becher, A., Beena Gopalakrishnan Nair, L., Broneske, D., Drewes, T., Gurumurthy, B., Meyer-Wegener, K.,... Wildermann, S. (2018). Integration of FPGAs in Database Management Systems: Challenges and Opportunities. Datenbank-Spektrum. https://dx.doi.org/10.1007/s13222-018-0294-9
Streit, F.-J., Letras, M., Wildermann, S., Hackenberg, B., Falk, J., Becher, A., & Teich, J. (2018). Model-Based Design Automation of Hardware/Software Co-Designs for Xilinx Zynq PSoCs. In IEEE-Xplore digital library. Cancun, MX.
Becher, A., Wildermann, S., & Teich, J. (2018). Optimistic Regular Expression Matching on FPGAs for Near-Data Processing. In Proceedings of the Data Management on New Hardware (DaMoN). Houston, Texas, US: ACM.
Pirkl, J., Becher, A., Echavarria Gutiérrez, J.A., Teich, J., & Wildermann, S. (2017). Self-Adaptive FPGA-Based Image Processing Filters Using Approximate Arithmetics. In Proceedings of the 20th International Workshop on Software and Compilers for Embedded Systems (pp. 89-92). Sankt Goar, DE.

Last updated on 2019-28-03 at 15:08