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.