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

ReconOS - An Operating System Approach for Reconfigurable Computing
A. Agne, M. Happe, A. Keller, E. Lübbers, B. Plattner, M. Platzner, C. Plessl, IEEE Micro 34 (2014) 60–71.

Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach
G. C. Durelli, M. Pogliani, A. Miele, C. Plessl, H. Riebler, G.F. Vaz, M. D. Santambrogio, C. Bolchini, in: Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA), IEEE, 2014, pp. 142–149.

Deferring Accelerator Offloading Decisions to Application Runtime
G.F. Vaz, H. Riebler, T. Kenter, C. Plessl, in: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), IEEE, 2014, pp. 1–8.

Kernel-Centric Acceleration of High Accuracy Stereo-Matching
T. Kenter, H. Schmitz, C. Plessl, in: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), IEEE, 2014, pp. 1–8.

SAVE: Towards efficient resource management in heterogeneous system architectures
G. C. Durelli, M. Copolla, K. Djafarian, G. Koranaros, A. Miele, M. Paolino, O. Pell, C. Plessl, M. D. Santambrogio, C. Bolchini, in: Proc. Int. Conf. on Reconfigurable Computing: Architectures, Tools and Applications (ARC), Springer, 2014.

Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers
H. Giefers, C. Plessl, J. Förstner, ACM SIGARCH Computer Architecture News 41 (2014) 65–70.

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

FPGA Implementation of a Second-Order Convolutive Blind Signal Separation Algorithm
S. Kasap, S. Redif, in: Proc. IEEE Signal Processing and Communications Conf. (SUI), IEEE, 2013.

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

Performance and thermal management on self-adaptive hybrid multi-cores
M. Happe, Performance and Thermal Management on Self-Adaptive Hybrid Multi-Cores, Logos Verlag Berlin GmbH, Berlin, 2013.

A Self-adaptive Heterogeneous Multi-core Architecture for Embedded Real-time Video Object Tracking
M. Happe, E. Lübbers, M. Platzner, International Journal of Real-Time Image Processing 8 (2013) 95–110.

Dynamic reliability management: Reconfiguring reliability-levels of hardware designs at runtime
J. Anwer, S. Meisner, M. Platzner, in: Reconfigurable Computing and FPGAs (ReConFig), 2013 International Conference On, 2013, pp. 1–6.

Beschleunigung von Tiefenberechnung aus Stereobildern durch FPGA-basierte Datenflussrechner
C. Bick, Beschleunigung von Tiefenberechnung Aus Stereobildern Durch FPGA-Basierte Datenflussrechner, Paderborn University, 2013.

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

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

Investigating Evolvable Hardware Classification for the BioSleeve Electromyographic Interface
K. Glette, P. Kaufmann, C. Assad, M. Wolf, in: IEEE Intl. Conf. on Evolvable Systems (ICES), Springer, 2013, pp. 1–1.

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

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

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