Makeswaran V. Operating System Support for Reconfigurable Cache. Paderborn University; 2016.

Ibne Ashraf I. Private/Shared Data Classification and Implementation for a Multi-Softcore Platform. Paderborn University; 2016.

Meisner S, Platzner M. Thread Shadowing: On the Effectiveness of Error Detection at the Hardware Thread Level. In: Reconfigurable Computing and FPGAs (ReConFig), 2016 International Conference On. ReConFig. ; 2016:1-8. doi:10.1109/ReConFig.2016.7857193

Schmidt M. Konzeption Und Implementierung Einer Digitalen Ansteuerung Für Den Betrieb Einer Elektrischen Sendereinheit Für Induktive Energieübertragung. Paderborn University; 2016.

Squillero G, Burelli P, M. Mora A, et al. Applications of Evolutionary Computation - 19th European Conference, EvoApplications. Vol 9597. Springer; 2016.

Ghribi I, Ben Abdallah R, Khalgui M, Platzner M. RCo-Design: New Visual Environment for Reconfigurable Embedded Systems. In: Proceedings of the 30th European Simulation and Modelling Conference (ESM). ; 2016.

Ghribi I, Ben Abdallah R, Khalgui M, Platzner M. New Co-design Methodology for Real-time Embedded Systems. In: Proceedings of the 11th International Conference on Software Engineering and Applications (ICSOFT-EA). ; 2016:185-195.

Ghasemzadeh Mohammadi H, Gaillardon P-E, De Micheli G. Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2016;PP(99):1-1. doi:10.1109/TCAD.2016.2547908

Hermansen S. Custom Memory Controller for ReconOS. Paderborn University; 2016.

Lewis PR, Platzner M, Rinner B, Tørresen J, Yao X, eds. Self-Aware Computing Systems: An Engineering Approach. Cham: Springer; 2016. doi:10.1007/978-3-319-39675-0

Boschmann A, Agne A, Witschen LM, Thombansen G, Kraus F, Platzner M. FPGA-based acceleration of high density myoelectric signal processing. In: 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2016. doi:10.1109/reconfig.2015.7393312

Graf T, Platzner M. Using Deep Convolutional Neural Networks in Monte Carlo Tree Search. In: Computer and Games. ; 2016.

Graf T, Platzner M. Monte-Carlo Simulation Balancing Revisited. In: IEEE Computational Intelligence and Games. ; 2016.

Wiersema T, Platzner M. Verifying Worst-Case Completion Times for Reconfigurable Hardware Modules using Proof-Carrying Hardware. In: Proceedings of the 11th International Symposium on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC 2016). ; 2016:1--8. doi:10.1109/ReCoSoC.2016.7533910

Agne A, Platzner M, Plessl C, Happe M, Lübbers E. ReconOS. In: Koch D, Hannig F, Ziener D, eds. FPGAs for Software Programmers. Springer International Publishing; 2016:227-244. doi:10.1007/978-3-319-26408-0_13

Agne A, Happe M, Lösch A, Plessl C, Platzner M. Self-aware Compute Nodes. In: Self-Aware Computing Systems. Natural Computing Series (NCS). Springer International Publishing; 2016:145-165. doi:10.1007/978-3-319-39675-0_8

Lösch A, Beisel T, Kenter T, Plessl C, Platzner M. Performance-centric scheduling with task migration for a heterogeneous compute node in the data center. In: Proceedings of the 2016 Design, Automation &; Test in Europe Conference &; Exhibition (DATE). EDA Consortium / IEEE; 2016:912-917.

Wiersema T, Wu S, Platzner M. On-The-Fly Verification of Reconfigurable Image Processing Modules based on a Proof-Carrying Hardware Approach. In: Proceedings of the International Symposium in Reconfigurable Computing (ARC). LNCS. ; 2015:365--372. doi:10.1007/978-3-319-16214-0_32

Knorr C. Evaluation von Bildverarbeitungsalgorithmen in heterogenen Rechenknoten. Universität Paderborn; 2015.

Torresen J, Plessl C, Yao X. Self-Aware and Self-Expressive Systems – Guest Editor’s Introduction. IEEE Computer. 2015;48(7):18-20. doi:10.1109/MC.2015.205