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451 Publications
2021 | Journal Article | LibreCat-ID: 30907
Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs
A. Rodriguez, A. Otero, M. Platzner, E. De la Torre, IEEE Transactions on Computers (2021) 1–1.
LibreCat
| DOI
A. Rodriguez, A. Otero, M. Platzner, E. De la Torre, IEEE Transactions on Computers (2021) 1–1.
2021 | Conference Paper | LibreCat-ID: 29137
Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS
T. Hansmeier, in: HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, Association for Computing Machinery (ACM), New York, NY, United States, 2021.
LibreCat
| DOI
T. Hansmeier, in: HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, Association for Computing Machinery (ACM), New York, NY, United States, 2021.
2021 | Mastersthesis | LibreCat-ID: 29540
Design and Implementation of a ReconROS-based Obstacle Avoidance System
M.A. Sheikh, Design and Implementation of a ReconROS-Based Obstacle Avoidance System, Paderborn University, 2021.
LibreCat
M.A. Sheikh, Design and Implementation of a ReconROS-Based Obstacle Avoidance System, Paderborn University, 2021.
2021 | Preprint | LibreCat-ID: 22764 | 
Design of Distributed Reconfigurable Robotics Systems with ReconROS
C. Lienen, M. Platzner, ArXiv:2107.07208 (2021).
LibreCat
| Download (ext.)
C. Lienen, M. Platzner, ArXiv:2107.07208 (2021).
2021 | Conference Paper | LibreCat-ID: 21813
An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS
T. Hansmeier, M. Platzner, in: GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), New York, NY, United States, 2021, pp. 1639–1647.
LibreCat
| DOI
T. Hansmeier, M. Platzner, in: GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), New York, NY, United States, 2021, pp. 1639–1647.
2021 | Journal Article | LibreCat-ID: 27841
Software/Hardware Co-Verification for Custom Instruction Set Processors
M.-C. Jakobs, F. Pauck, M. Platzner, H. Wehrheim, T. Wiersema, IEEE Access (2021).
LibreCat
| DOI
M.-C. Jakobs, F. Pauck, M. Platzner, H. Wehrheim, T. Wiersema, IEEE Access (2021).
2021 | Conference Paper | LibreCat-ID: 29138
Hardware Trojans in Reconfigurable Computing
Q.A. Ahmed, in: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021.
LibreCat
| DOI
Q.A. Ahmed, in: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021.
2021 | Conference Paper | LibreCat-ID: 20681 |
Malicious Routing: Circumventing Bitstream-level Verification for FPGAs
Q.A. Ahmed, T. Wiersema, M. Platzner, in: 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021 Design, Automation and Test in Europe Conference (DATE), Alpexpo | Grenoble, France, 2021.
LibreCat
| Files available
| DOI
| Download (ext.)
Q.A. Ahmed, T. Wiersema, M. Platzner, in: 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021 Design, Automation and Test in Europe Conference (DATE), Alpexpo | Grenoble, France, 2021.
2021 | Conference Paper | LibreCat-ID: 30909
ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip
L. Clausing, in: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2021.
LibreCat
| DOI
L. Clausing, in: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2021.
2021 | Conference Paper | LibreCat-ID: 30908
FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics
H. Ghasemzadeh Mohammadi, F. Jentzsch, M. Kuschel, R. Arshad, S. Rautmare, S. Manjunatha, M. Platzner, A. Boschmann, D. Schollbach, in: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, 2021.
LibreCat
| DOI
H. Ghasemzadeh Mohammadi, F. Jentzsch, M. Kuschel, R. Arshad, S. Rautmare, S. Manjunatha, M. Platzner, A. Boschmann, D. Schollbach, in: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, 2021.