P. Kaufmann and C. Shen, “Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated Annealing,” in Genetic and Evolutionary Computation (GECCO), 2015, pp. 409–416.

S. Meisner and M. Platzner, “Comparison of thread signatures for error detection in hybrid multi-cores,” in Field Programmable Technology (FPT), 2015 International Conference on, 2015, pp. 212–215.

R. Meißner, Konzept und Implementation einer Benutzeroberfläche zur Generierung virtueller FPGAs. Universität Paderborn, 2015.

T. Posewsky, Acceleration of Artificial Neural Networks on a Zynq Platform. Paderborn University, 2015.

A. M. Mora et al., Applications of Evolutionary Computation - 18th European Conference, EvoApplications, vol. 9028. Copenhagen, Denmark: Springer, 2015.

P. H.W. Leong et al., “Significant papers from the first 25 years of the FPL conference,” in Proceedings of the 25th International Conference on Field Programmable Logic and Applications (FPL), 2015, pp. 1–3.

I. Ghribi, R. Ben Abdallah, M. Khalgui, and M. Platzner, “New Codesign Solutions for Modelling and Partitioning of Probabilistic Reconfigurable Embedded Software,” in Proceedings of the 29th European Simulation and Modelling Conference (ESM), 2015.

H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, and G. De Micheli, “From Defect Analysis to Gate-Level Fault Modeling of Controllable-Polarity Silicon Nanowires,” IEEE Transactions on Nanotechnology, vol. 14, no. 6, pp. 1117–1126, 2015.

H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, J. Zhang, G. De Micheli, E. Sanchez, and M. S. Reorda, “On the design of a fault tolerant ripple-carry adder with controllable-polarity transistors,” in 2015 IEEE Computer Society Annual Symposium on VLSI, 2015, pp. 491–496.

H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, and G. De Micheli, “Fault modeling in controllable polarity silicon nanowire circuits,” in Proceedings of the 2015 Design, Automation &; Test in Europe Conference \'26; Exhibition, 2015, pp. 453–458.

Z. Guettatfi, O. Kermia, and A. Khouas, “Over effective hard real-time hardware tasks scheduling and allocation,” in 25th International Conference on Field Programmable Logic and Applications (FPL), 2015.

T. Graf and M. Platzner, “Adaptive Playouts in Monte-Carlo Tree Search with Policy-Gradient Reinforcement Learning,” in Advances in Computer Games: 14th International Conference, ACG 2015, Leiden, The Netherlands, July 1-3, 2015, Revised Selected Papers, 2015, pp. 1–11.

T. Kenter, H. Schmitz, and C. Plessl, “Exploring Tradeoffs between Specialized Kernels and a Reusable Overlay in a Stereo-Matching Case Study,”10.1155/2015/859425__International Journal of Reconfigurable Computing (IJRC), vol. 2015, Art. no. 859425, 2015, doi:10.1155/2015/859425 .

M. Damschen and C. Plessl, “Easy-to-Use On-The-Fly Binary Program Acceleration on Many-Cores,” 2015.

J. Schumacher et al., “Improving Packet Processing Performance in the ATLAS FELIX Project – Analysis and Optimization of a Memory-Bounded Algorithm,”10.1145/2675743.2771824__2015, doi:10.1145/2675743.2771824 .

C. Plessl, M. Platzner, and P. J. Schreier, “Aktuelles Schlagwort: Approximate Computing,”10.1007/s00287-015-0911-z__Informatik Spektrum, no. 5, pp. 396–399, 2015, doi:10.1007/s00287-015-0911-z .

M. Damschen, H. Riebler, G. F. Vaz, and C. Plessl, “Transparent offloading of computational hotspots from binary code to Xeon Phi,”10.7873/DATE.2015.1124__in Proceedings of the 2015 Conference on Design, Automation and Test in Europe (DATE), 2015, pp. 1078–1083, doi:10.7873/DATE.2015.1124 .

S. Meisner and M. Platzner, “Thread Shadowing: Using Dynamic Redundancy on Hybrid Multi-cores for Error Detection,” in Proceedings of the 10th International Symposium on Applied Reconfigurable Computing (ARC), 2014, pp. 283–290.

T. Graf, L. Schaefers, and M. Platzner, “On Semeai Detection in Monte-Carlo Go,” in Proc. Conf. on Computers and Games (CG), 2014, no. 8427, pp. 14–25.

T. Wiersema, S. Drzevitzky, and M. Platzner, “Memory Security in Reconfigurable Computers: Combining Formal Verification with Monitoring,” in Proceedings of the International Conference on Field-Programmable Technology (FPT), 2014, pp. 167–174.

M.-C. Jakobs, M. Platzner, T. Wiersema, and H. Wehrheim, “Integrating Software and Hardware Verification,” in Proceedings of the 11th International Conference on Integrated Formal Methods (iFM), 2014, pp. 307–322.

T. Wiersema, A. Bockhorn, and M. Platzner, “Embedding FPGA Overlays into Configurable Systems-on-Chip: ReconOS meets ZUMA,” in Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2014, pp. 1–6.

L. Schaefers and M. Platzner, “A Novel Technique and its Application to Computer Go,” IEEE Transactions on Computational Intelligence and AI in Games, vol. 6, no. 3, pp. 361–374, 2014.

H. Giefers and M. Platzner, “An FPGA-based Reconfigurable Mesh Many-Core,” IEEE Transactions on Computers, vol. 63, no. 12, pp. 2919–2932, 2014.

J. Anwer, M. Platzner, and S. Meisner, “FPGA Redundancy Configurations: An Automated Design Space Exploration,” in Reconfigurable Architectures Workshop (RAW), 2014.

A. Bockhorn, Echtzeit Klassifikation von sEMG Signalen mit einem low-cost DSP Evaluation Board. Paderborn University, 2014.

A. Boschmann and M. Platzner, “A computer vision-based approach to high density EMG pattern recognition using structural similarity,” in Proc. MyoElectric Controls Symposium (MEC), 2014.

A. Boschmann and M. Platzner, “Towards robust HD EMG pattern recognition: Reducing electrode displacement effect using structural similarity,” in Proc. IEEE Int. Conf. Eng. Med. Biolog. (EMBC), 2014.

M. Brand, A Generalized Loop Accelerator Implemented as a Coarse-Grained Array. Paderborn University, 2014.

M. Damschen, Easy-to-use-on-the-fly binary program acceleration on many-cores. Paderborn University, 2014.

K. Glette and P. Kaufmann, “Lookup Table Partial Reconfiguration for an Evolvable Hardware Classifier System,” in IEEE Congress on Evolutionary Computation (CEC), 2014.

C. Hagedorn, Entwicklung einer codegrößenoptimierten Softwarebibliothek für 8-Bit Mikrocontroller in netzunabhängigen Notleuchten. Paderborn University, 2014.

N. Ho, P. Kaufmann, and M. Platzner, “A hardware/software infrastructure for performance monitoring on LEON3 multicore platforms,” in 24th Intl. Conf. on Field Programmable Logic and Applications (FPL), 2014, pp. 1–4.

N. Ho, P. Kaufmann, and M. Platzner, “Towards self-adaptive caches: A run-time reconfigurable multi-core infrastructure,” in 2014 IEEE Intl. Conf. on Evolvable Systems (ICES), 2014, pp. 31–37.

F. König, EMG-basierte simultane und proportionale Online-Steuerung einer virtuellen Prothese. Paderborn University, 2014.

B. Koch, Hardware Acceleration of Mechatronic Controllers on a Zynq Platform FPGA. Paderborn University, 2014.

R. Mittendorf, Advanced AES-key recovery from decayed RAM using multi-threading and FPGAs. Paderborn University, 2014.

C. Rüthing, The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores. Paderborn University, 2014.

L. Schäfers, Parallel Monte-Carlo Tree Search for HPC Systems and its Application to Computer Go. Berlin: Logos Verlag Berlin GmbH, 2014.

C. Shen, P. Kaufmann, and M. Braun, “Optimizing the Generator Start-up Sequence After a Power System Blackout,” in IEEE Power and Energy Society General Meeting (IEEE GM), 2014.

C. Shen, P. Kaufmann, and M. Braun, “A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm,” in Power Systems Computation Conference (PSCC), 2014.

S. Surmund, Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA. Paderborn University, 2014.

A. I. Esparcia-Alc\rquote azar et al., Applications of Evolutionary Computation - 17th European Conference, EvoApplications, vol. 8602. Granada, Spain: Springer, 2014.

J. Anwer and M. Platzner, “Analytic reliability evaluation for fault-tolerant circuit structures on FPGAs,” in IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2014, pp. 177–184.

H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, M. Yazdani, and G. De Micheli, “Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection,” in 2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 2014, pp. 163–168.

T. Graf and M. Platzner, “Common Fate Graph Patterns in Monte Carlo Tree Search for Computer Go,” in 2014 IEEE Conference on Computational Intelligence and Games, 2014, pp. 1–8.

M. Platzner and C. Plessl, “Verschiebungen an der Grenze zwischen Hardware und Software,” in Logiken strukturbildender Prozesse: Automatismen, J. Künsemöller, N. O. Eke, L. Foit, and T. Kaerlein, Eds. Paderborn: Wilhelm Fink, 2014, pp. 123–144.

T. Kenter, G. F. Vaz, and C. Plessl, “Partitioning and Vectorizing Binary Applications for a Reconfigurable Vector Computer,”10.1007/978-3-319-05960-0_13__in Proceedings of the International Symposium on Reconfigurable Computing: Architectures, Tools, and Applications (ARC), 2014, vol. 8405, pp. 144–155, doi:10.1007/978-3-319-05960-0_13 .

A. Agne, H. Hangmann, M. Happe, M. Platzner, and C. Plessl, “Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators,”10.1016/j.micpro.2013.12.001__Microprocessors and Microsystems, vol. 38, no. 8, Part B, pp. 911–919, 2014, doi:10.1016/j.micpro.2013.12.001 .

H. Riebler, T. Kenter, C. Plessl, and C. Sorge, “Reconstructing AES Key Schedules from Decayed Memory with FPGAs,”10.1109/FCCM.2014.67__in Proceedings of Field-Programmable Custom Computing Machines (FCCM), 2014, pp. 222–229, doi:10.1109/FCCM.2014.67 .