Kenter T. Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn; 2016.

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

Riebler H, Vaz GF, Plessl C, Trainiti EMG, Durelli GC, Bolchini C. Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. In: Proc. HiPEAC Workshop on Reonfigurable Computing (WRC). ; 2016.

Kenter T, Plessl C. Microdisk Cavity FDTD Simulation on FPGA using OpenCL. In: Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC). ; 2016.

Lass M, Kühne T, Plessl C. Using Approximate Computing in Scientific Codes. In: Workshop on Approximate Computing (AC). ; 2016.

Riebler H, Vaz GF, Plessl C, et al. Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. In: Proceedings of International Forum on Research and Technologies for Society and Industry (RTSI). IEEE; 2016:1-5. doi:10.1109/RTSI.2016.7740545

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

Vaz GF, Riebler H, Kenter T, Plessl C. Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code. Computers and Electrical Engineering. 2016;55:91-111. doi:10.1016/j.compeleceng.2016.04.021

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.

Kenter T, Vaz GF, Riebler H, Plessl C. Opportunities for deferring application partitioning and accelerator synthesis to runtime (extended abstract). In: Workshop on Reconfigurable Computing (WRC). ; 2016.

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

Lass M. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University; 2015.

Jenert T, Brahm T. How Do They Find Their Place? A Longitudinal Study of Management Students’ Attitudes and Motivations During Their First Year at Business School. In: ; 2015.

Funke L. An LLVM Based Toolchain for Transparent Acceleration of Digital Image Processing Applications Using FPGA Overlay Architectures. Universität Paderborn; 2015.

Löcke T. Instance-Specific Computing in Hard- and Software for Faster Solving of Complex Problems. Universität Paderborn; 2015.

Wallaschek F. Accelerating Programmable Logic Controllers with the Use of FPGAs. Universität Paderborn; 2015.

Beisel T. Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing. Berlin: Logos Verlag Berlin GmbH; 2015.

Kenter T, Schmitz H, Plessl C. Exploring Tradeoffs between Specialized Kernels and a Reusable Overlay in a Stereo-Matching Case Study. International Journal of Reconfigurable Computing (IJRC). 2015;2015. doi:10.1155/2015/859425

Damschen M, Plessl C. Easy-to-Use On-The-Fly Binary Program Acceleration on Many-Cores. In: Proceedings of the 5th International Workshop on Adaptive Self-Tuning Computing Systems (ADAPT). ; 2015.

Schumacher J, T. Anderson J, Borga A, et al. Improving Packet Processing Performance in the ATLAS FELIX Project – Analysis and Optimization of a Memory-Bounded Algorithm. In: Proc. Int. Conf. on Distributed Event-Based Systems (DEBS). ACM; 2015. doi:10.1145/2675743.2771824