Agne A, Happe M, Lösch A, Plessl C, Platzner M. Self-awareness as a Model for Designing and Operating Heterogeneous Multicores. ACM Transactions on Reconfigurable Technology and Systems (TRETS). 2014;7(2). doi:10.1145/2617596

Agne A, Happe M, Keller A, et al. ReconOS - An Operating System Approach for Reconfigurable Computing. IEEE Micro. 2014;34(1):60-71. doi:10.1109/MM.2013.110

C. Durelli G, Pogliani M, Miele A, et al. Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach. In: Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA). IEEE; 2014:142-149. doi:10.1109/ISPA.2014.27

Vaz GF, Riebler H, Kenter T, Plessl C. Deferring Accelerator Offloading Decisions to Application Runtime. In: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2014:1-8. doi:10.1109/ReConFig.2014.7032509

Kenter T, Schmitz H, Plessl C. Kernel-Centric Acceleration of High Accuracy Stereo-Matching. In: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2014:1-8. doi:10.1109/ReConFig.2014.7032535

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Giefers H, Plessl C, Förstner J. Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers. ACM SIGARCH Computer Architecture News. 2014;41(5):65-70. doi:10.1145/2641361.2641372

Kaufmann P. Adapting Hardware Systems by Means of Multi-Objective Evolution. Berlin: Logos Verlag Berlin GmbH; 2013.

Kasap S, Redif S. FPGA Implementation of a Second-Order Convolutive Blind Signal Separation Algorithm. In: Proc. IEEE Signal Processing and Communications Conf. (SUI). IEEE; 2013. doi:10.1109/SIU.2013.6531530

Kasap S, Redif S. Novel Field-Programmable Gate Array Architecture for Computing the Eigenvalue Decomposition of Para-Hermitian Polynomial Matrices. IEEE Trans on Very Large Scale Integration (VLSI) Systems. 2013;22(3):522-536. doi:10.1109/TVLSI.2013.2248069

Happe M. Performance and Thermal Management on Self-Adaptive Hybrid Multi-Cores. Berlin: Logos Verlag Berlin GmbH; 2013.

Happe M, Lübbers E, Platzner M. A Self-adaptive Heterogeneous Multi-core Architecture for Embedded Real-time Video Object Tracking. International Journal of Real-time Image Processing. 2013;8(1):95-110. doi:doi:10.1007/s11554-011-0212-y

Anwer J, Meisner S, Platzner M. Dynamic reliability management: Reconfiguring reliability-levels of hardware designs at runtime. In: Reconfigurable Computing and FPGAs (ReConFig), 2013 International Conference On. ; 2013:1-6. doi:10.1109/ReConFig.2013.6732280

Bick C. Beschleunigung von Tiefenberechnung Aus Stereobildern Durch FPGA-Basierte Datenflussrechner. Paderborn University; 2013.

Boschmann A, Nofen B, Platzner M. Improving transient state myoelectric signal recognition in hand movement classification using gyroscopes. In: Proc. IEEE Int. Conf. Eng. Med. Biolog. (EMBC). ; 2013.

Boschmann A, Platzner M. Reducing the limb position effect in pattern recognition based myoelectric control using a high density electrode array. In: Proc. IEEE ISSNIP Biosignals and Biorobotics Conference (BRC). ; 2013.

Glette K, Kaufmann P, Assad C, Wolf M. Investigating Evolvable Hardware Classification for the BioSleeve Electromyographic Interface. In: IEEE Intl. Conf. on Evolvable Systems (ICES). Vol 1. LNCS. Springer; 2013:1-1.

Kaufmann P. Adapting Hardware Systems by Means of Multi-Objective Evolution. Berlin: Logos Verlag; 2013.

Kaufmann P, Glette K, Gruber T, Platzner M, Torresen J, Sick B. Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers. IEEE Transactions on Evolutionary Computation. 2013;17(1):46-63. doi:10.1109/TEVC.2012.2185845

Knoop M. Behavior Models for Electric Vehicles. IWES Kassel; 2013.