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 .

A. Agne, M. Happe, A. Lösch, C. Plessl, and M. Platzner, “Self-awareness as a Model for Designing and Operating Heterogeneous Multicores,”10.1145/2617596__ACM Transactions on Reconfigurable Technology and Systems (TRETS), vol. 7, no. 2, Art. no. 13, 2014, doi:10.1145/2617596 .

A. Agne et al., “ReconOS - An Operating System Approach for Reconfigurable Computing,”10.1109/MM.2013.110__IEEE Micro, vol. 34, no. 1, pp. 60–71, 2014, doi:10.1109/MM.2013.110 .

G. C. Durelli et al., “Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach,”10.1109/ISPA.2014.27__in Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA), 2014, pp. 142–149, doi:10.1109/ISPA.2014.27 .

G. F. Vaz, H. Riebler, T. Kenter, and C. Plessl, “Deferring Accelerator Offloading Decisions to Application Runtime,”10.1109/ReConFig.2014.7032509__in Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2014, pp. 1–8, doi:10.1109/ReConFig.2014.7032509 .

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

G. C. Durelli et al., “SAVE: Towards efficient resource management in heterogeneous system architectures,”10.1007/978-3-319-05960-0_38__2014, doi:10.1007/978-3-319-05960-0_38 .

H. Giefers, C. Plessl, and J. Förstner, “Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers,”10.1145/2641361.2641372__ACM SIGARCH Computer Architecture News, vol. 41, no. 5, pp. 65–70, 2014, doi:10.1145/2641361.2641372 .

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

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

S. Kasap and S. Redif, “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, vol. 22, no. 3, pp. 522–536, 2013.

M. Happe, Performance and thermal management on self-adaptive hybrid multi-cores. Berlin: Logos Verlag Berlin GmbH, 2013.

M. Happe, E. Lübbers, and M. Platzner, “A Self-adaptive Heterogeneous Multi-core Architecture for Embedded Real-time Video Object Tracking,” International Journal of Real-time Image Processing, vol. 8, no. 1, pp. 95–110, 2013.

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

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

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

A. Boschmann and M. Platzner, “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.

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

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

P. Kaufmann, K. Glette, T. Gruber, M. Platzner, J. Torresen, and B. Sick, “Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers,” IEEE Transactions on Evolutionary Computation, vol. 17, no. 1, pp. 46–63, 2013.

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

B. Nofen, Verbesserung der Erkennungsrate eines Systems zur Klassifikation von EMG-Signalen durch den Einsatz eines hybriden Lagesensors. Paderborn University, 2013.

D. Pudelko, Überquerung der Styx - Betriebsparametervariation und Fehlerverhalten eines Platform FPGAs. Paderborn University, 2013.

H. Riebler, Identifikation und Wiederherstellung von kryptographischen Schlüsseln mit FPGAs. Paderborn University, 2013.

A. Sprenger, MiBenchHybridf: Erweiterung eines Benchmarks um Hardwarebeschleunigung. Paderborn University, 2013.

P. Steppeler, Beschleunigung von Einzelbild-Erkennungsverfahren auf Datenfluss basierenden HPC Systemen. Paderborn University, 2013.

C. Toebermann et al., “Real-Time Simulation of Distribution Grids with high Penetration of Regenerative and Distributed Generation,” in Real-Time Conference, 2013.

H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, M. Yazdani, and G. De Micheli, “A fast TCAD-based methodology for Variation analysis of emerging nano-devices,” in 2013 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFTS), 2013, pp. 83–88.

P.-E. Gaillardon, H. Ghasemzadeh Mohammadi, and G. De Micheli, “Vertically-stacked silicon nanowire transistors with controllable polarity: A robustness study,” in 2013 14th Latin American Test Workshop-LATW, 2013, pp. 1–6.

T. Graf, L. Schäfers, and M. Platzner, “On Semeai Detection in Monte-Carlo Go.,” in Proceedings of the International Conference on Computers and Games (CG), 2013.

H. Riebler, T. Kenter, C. Sorge, and C. Plessl, “FPGA-accelerated Key Search for Cold-Boot Attacks against AES,”10.1109/FPT.2013.6718394__in Proceedings of the International Conference on Field-Programmable Technology (FPT), 2013, pp. 386–389, doi:10.1109/FPT.2013.6718394 .

M. Happe, P. Kling, C. Plessl, M. Platzner, and F. Meyer auf der Heide, “On-The-Fly Computing: A Novel Paradigm for Individualized IT Services,”10.1109/ISORC.2013.6913232__2013, doi:10.1109/ISORC.2013.6913232 .

T. Suess, A. Schoenrock, S. Meisner, and C. Plessl, “Parallel Macro Pipelining on the Intel SCC Many-Core Computer,”10.1109/IPDPSW.2013.136__in Proc. Int. Symp. on Parallel and Distributed Processing Workshops (IPDPSW), 2013, pp. 64–73, doi:10.1109/IPDPSW.2013.136 .

S. Kasap and S. Redif, “FPGA-based design and implementation of an approximate polynomial matrix EVD algorithm,” in Proc. Int. Conf. on Field Programmable Technology (ICFPT), 2012, pp. 135–140.

S. Kasap and S. Redif, “FPGA implementation of a second-order convolutive blind signal separation algorithm,” in Int. Architecture and Engineering Symp. (ARCHENG), 2012.

M. Wistuba, L. Schaefers, and M. Platzner, “Comparison of Bayesian Move Prediction Systems for Computer Go,” in Proc. IEEE Conf. on Computational Intelligence and Games (CIG), 2012, pp. 91–99.

K. Thielemans et al., “STIR: Software for Tomographic Image Reconstruction Release 2,” Physics in Medicine and Biology, vol. 57, no. 4, pp. 867–883, 2012.

S. Redif and S. Kasap, “Parallel algorithm for computation of second-order sequential best rotations,” Int. Journal of Electronics, vol. 100, no. 12, pp. 1646–1651, 2012.

S. Kasap and K. Benkrid, “Parallel Processor Design and Implementation for Molecular Dynamics Simulations on a FPGA Parallel Computer,” Journal of Computers, vol. 7, no. 6, pp. 1312–1328, 2012.

S. Drzevitzky, Proof-Carrying Hardware: A Novel Approach to Reconfigurable Hardware Security. Universität Paderborn, 2012.

C. Plessl, M. Platzner, A. Agne, M. Happe, and E. Lübbers, Programming models for reconfigurable heterogeneous multi-cores. Awareness Magazine, 2012.

A. Boschmann and M. Platzner, “Reducing classification accuracy degradation of pattern recognition based myoelectric control caused by electrode shift using a high density electrode array,” in Proc. IEEE Int. Conf. Eng. Med. Biolog. (EMBC), 2012.

D. Dridger, Design and Implementation of a Nanophotonics Simulation Personality for the Convey HC-1 Hybrid Core Computer. Paderborn University, 2012.

H. Giefers, Design and Programming of Reconfigurable Mesh based Many-Cores. Berlin: Logos Verlag Berlin GmbH, 2012.

T. Graf, Adaptive Playouts in der Monte-Carlo Spielbaumsuche am Anwendungsfall Go. Paderborn University, 2012.

H. Hangmann, Generating Adjustable Temperature Gradients on modern FPGAs. Paderborn University, 2012.

P. Kaufmann, K. Glette, M. Platzner, and J. Torresen, “Compensating Resource Fluctuations by Means of Evolvable Hardware: The Run-Time Reconfigurable Functional Unit Row Classifier Architecture,” International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS), vol. 3, no. 4, pp. 17–31, 2012.

M. Platzner, A. Boschmann, and P. Kaufmann, Wieder natürlich gehen und greifen. 2012, pp. 6–11.

H. Schmitz, Stereo Matching on a HC-1 Hybrid Core Computer. Paderborn University, 2012.

C. Topmöller, Entwicklung eines Picoblaze Compilers mit dem Gentle Compiler Construction System. Paderborn University, 2012.

M. Wistuba, Analysis of Pattern Based Model Design and Learning in Computer-Go. Paderborn University, 2012.

P. Lewis, M. Platzner, and X. Yao, An outlook for self-awareness in computing systems. Awareness Magazine, 2012.

B. Meyer, J. Schumacher, C. Plessl, and J. Förstner, “Convey Vector Personalities – FPGA Acceleration with an OpenMP-like Effort?,”10.1109/FPL.2012.6339370__in Proc. Int. Conf. on Field Programmable Logic and Applications (FPL), 2012, pp. 189–196, doi:10.1109/FPL.2012.6339370 .

T. Schumacher, C. Plessl, and M. Platzner, “IMORC: An Infrastructure and Architecture Template for Implementing High-Performance Reconfigurable FPGA Accelerators,”10.1016/j.micpro.2011.04.002__Microprocessors and Microsystems, vol. 36, no. 2, pp. 110–126, 2012, doi:10.1016/j.micpro.2011.04.002 .

M. Happe, H. Hangmann, A. Agne, and C. Plessl, “Eight Ways to put your FPGA on Fire – A Systematic Study of Heat Generators,”10.1109/ReConFig.2012.6416745__in Proceedings of the International Conference on Reconfigurable Computing and FPGAs (ReConFig), 2012, pp. 1–8, doi:10.1109/ReConFig.2012.6416745 .

T. Kenter, C. Plessl, and H. Schmitz, “Pragma based parallelization - Trading hardware efficiency for ease of use?,”10.1109/ReConFig.2012.6416773__in Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2012, pp. 1–8, doi:10.1109/ReConFig.2012.6416773 .

M. Happe, A. Agne, C. Plessl, and M. Platzner, “Hardware/Software Platform for Self-aware Compute Nodes,” in Proceedings of the Workshop on Self-Awareness in Reconfigurable Computing Systems (SRCS), 2012, pp. 8–9.

P. Barrio, C. Carreras, R. Sierra, T. Kenter, and C. Plessl, “Turning control flow graphs into function calls: Code generation for heterogeneous architectures,”10.1109/HPCSim.2012.6266973__in Proceedings of the International Conference on High Performance Computing and Simulation (HPCS), 2012, pp. 559–565, doi:10.1109/HPCSim.2012.6266973 .

C. Rüthing, M. Happe, A. Agne, and C. Plessl, “Exploration of Ring Oscillator Design Space for Temperature Measurements on FPGAs,”10.1109/FPL.2012.6339370__in Proceedings of the International Conference on Field Programmable Logic and Applications (FPL), 2012, pp. 559–562, doi:10.1109/FPL.2012.6339370 .

T. Beisel, T. Wiersema, C. Plessl, and A. Brinkmann, “Programming and Scheduling Model for Supporting Heterogeneous Accelerators in Linux,” 2012.

M. Grad and C. Plessl, “On the Feasibility and Limitations of Just-In-Time Instruction Set Extension for FPGA-based Reconfigurable Processors,”10.1155/2012/418315__Int. Journal of Reconfigurable Computing (IJRC), 2012, doi:10.1155/2012/418315 .

T. Kenter, C. Plessl, M. Platzner, and M. Kauschke, “Estimation and Partitioning for CPU-Accelerator Architectures,” in Intel European Research and Innovation Conference, 2011.

C. Plessl and M. Platzner, “Hardware Virtualization on Dynamically Reconfigurable Embedded Processors,” in Reconfigurable Embedded Control Systems: Applications for Flexibility and Agility, M. Khalgui and H.-M. Hanisch, Eds. Hershey, PA, USA: IGI Global, 2011.

T. Graf, U. Lorenz, M. Platzner, and L. Schaefers, “Parallel Monte-Carlo Tree Search for HPC Systems,” in Proc. European Conf. on Parallel Processing (Euro-Par), 2011, vol. 6853.

S. Drzevitzky and M. Platzner, “Achieving Hardware Security for Reconû01gurable Systems on Chip by a Proof-Carrying Code Approach,” in Proceedings of the 6th International Workshop on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2011, pp. 58–65.

A. Boschmann, P. Kaufmann, and M. Platzner, “Accurate gait phase detection using surface electromyographic signals and support vector machines,” in Proc. IEEE Int. Conf. Bioinformatics and Biomedical Technology (ICBBT), 2011.

A. Boschmann, M. Platzner, M. Robrecht, M. Hahn, and M. Winkler, “Development of a pattern recognition-based myoelectric transhumeral prosthesis with multifunctional simultaneous control using a model-driven ppproach for mechatronic systems,” in Proc. MyoElectric Controls Symposium (MEC), 2011.

N. Ikonomakis, PinSim: Schnelle Simulation mit Pintools. Paderborn University, 2011.

H. Kassner, MPI-CUDA Codegenerierung für Nanophoton Simulationen auf Clustern. Paderborn University, 2011.

P. Kaufmann and M. Platzner, “Multi-objective Intrinsic Evolution of Embedded Systems,” in Organic Computing---A Paradigm Shift for Complex Systems, vol. 1, C. Müller-Schloer, H. Schmeck, and T. Ungerer, Eds. Springer Basel, 2011, pp. 193–206.

A. Schwabe, Analysis of Algorithmic Approaches for Temporal Partitioning. Paderborn University, 2011.

L. Sekanina, J. A. Walker, P. Kaufmann, C. Plessl, and M. Platzner, “Evolution of Electronic Circuits,” in Cartesian Genetic Programming, Springer Berlin Heidelberg, 2011, pp. 125–179.

J. A. Walker, J. F. Miller, P. Kaufmann, and M. Platzner, “Problem Decomposition in Cartesian Genetic Programming,” in Cartesian Genetic Programming, Springer Berlin Heidelberg, 2011, pp. 35–99.

D. Welp, User Space Scheduling for Heterogeneous Systems. Paderborn University, 2011.

A. Agne, M. Platzner, and E. Lübbers, “Memory Virtualization for Multithreaded Reconfigurable Hardware,” in Proceedings of the International Conference on Field Programmable Logic and Applications (FPL), 2011, pp. 185–188.

J. Henkel et al., “Design and architectures for dependable embedded systems,” in Proceedings of the seventh IEEE/ACM/IFIP International Conference on Hardware/software Codesign and system synthesis - CODES+ISSS ’11, 2011.