Lösch, A., Wiens, A., &; Platzner, M. (2018). Ampehre: An Open Source Measurement Framework for Heterogeneous Compute Nodes. In Proceedings of the International Conference on Architecture of Computing Systems (ARCS) (Vol. 10793, pp. 73–84). Cham: Springer International Publishing.https://doi.org/10.1007/978-3-319-77610-1_6 
LibreCat: /record/3362
DOI: 10.1007/978-3-319-77610-1_6

Schnuer, J.-P. (2018). Static Scheduling Algorithms for Heterogeneous Compute Nodes. Universität Paderborn.
LibreCat: /record/3365

Croce, M. (2018). Evaluation of OpenCL-based Compilation for FPGAs. Universität Paderborn.
LibreCat: /record/3366

Hansmeier, T., Platzner, M., &; Andrews, D. (2018). An FPGA/HMC-Based Accelerator for Resolution Proof Checking. In ARC 2018: Applied Reconfigurable Computing. Architectures, Tools, and Applications (Vol. 10824, pp. 153–165). Santorini, Greece: Springer International Publishing.https://doi.org/10.1007/978-3-319-78890-6_13 
LibreCat: /record/3373
DOI: 10.1007/978-3-319-78890-6_13

Witschen, L. M., Wiersema, T., Ghasemzadeh Mohammadi, H., Awais, M., &; Platzner, M. (n.d.). CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Third Workshop on Approximate Computing (AxC 2018).
LibreCat: /record/3586

Ho, N. (2018). FPGA-based Reconfigurable Cache Mapping Schemes: Design and Optimization. Universität Paderborn.https://doi.org/10.17619/UNIPB/1-376 
LibreCat: /record/3720
DOI: 10.17619/UNIPB/1-376

Witschen, L. M., Wiersema, T., &; Platzner, M. (2018). Making the Case for Proof-carrying Approximate Circuits. 4th Workshop On Approximate Computing (WAPCO 2018).
LibreCat: /record/1165

Lösch, A., &; Platzner, M. (2018). A Highly Accurate Energy Model for Task Execution on Heterogeneous Compute Nodes. In 2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP). Milan, Italy: IEEE.https://doi.org/10.1109/asap.2018.8445098 
LibreCat: /record/5547
DOI: 10.1109/asap.2018.8445098

Awais, M., Ghasemzadeh Mohammadi, H., &; Platzner, M. (2018). An MCTS-based Framework for Synthesis of Approximate Circuits. In 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) (pp. 219–224).https://doi.org/10.1109/VLSI-SoC.2018.8645026 
LibreCat: /record/10598
DOI: 10.1109/VLSI-SoC.2018.8645026

Clausing, L. (2018). Development of a Hardware / Software Codesign for sonification of LIDAR-based sensor data. Ruhr-University Bochum.
LibreCat: /record/10782

Jentzsch, F. P. (2018). Enforcing IP Core Connection Properties with Verifiable Security Monitors. Universität Paderborn.
LibreCat: /record/1097

Ghribi, I., Abdallah, R. B., Khalgui, M., Li, Z., Alnowibet, K., &; Platzner, M. (2018). R-Codesign: Codesign Methodology for Real-Time Reconfigurable Embedded Systems Under Energy Constraints. IEEE Access, 14078–14092.https://doi.org/10.1109/access.2018.2799852 
LibreCat: /record/12965
DOI: 10.1109/access.2018.2799852

Hansmeier, T. (2017). An FPGA Accelerator for Checking Resolution Proofs. Universität Paderborn.
LibreCat: /record/3580

Witschen, L. M. (2017). A Framework for the Synthesis of Approximate Circuits. Universität Paderborn.
LibreCat: /record/1157

Knorr, C. (2017). OpenCL-basierte Videoverarbeitung auf heterogenen Rechenknoten. Universität Paderborn.
LibreCat: /record/74

Shen, C., Kaufmann, P., &; Braun, M. (2017). Three-Stage Power System Restoration Methodology Considering Renewable Energies. Elsevier International Journal of Electrical Power and Energy Systems (IJEPES), 94, 287–299.https://doi.org/10.1016/j.ijepes.2017.07.007 
LibreCat: /record/9919
DOI: 10.1016/j.ijepes.2017.07.007

Lösch, A., &; Platzner, M. (2017). reMinMin: A Novel Static Energy-Centric List Scheduling Approach Based on Real Measurements. In Proceedings of the 28th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP).https://doi.org/10.1109/ASAP.2017.7995272 
LibreCat: /record/65
DOI: 10.1109/ASAP.2017.7995272

Isenberg, T., Platzner, M., Wehrheim, H., &; Wiersema, T. (2017). Proof-Carrying Hardware via Inductive Invariants. ACM Transactions on Design Automation of Electronic Systems, (4), 61:1--61:23.https://doi.org/10.1145/3054743 
LibreCat: /record/68
DOI: 10.1145/3054743

H.W. Leong, P., Amano, H., Anderson, J., Bertels, K., M.P. Cardoso, J., Diessel, O.,https://doi.org/10.1145/2996468__Wang, Y. (2017). The First 25 Years of the FPL Conference – Significant Papers. ACM Transactions on Reconfigurable Technology and Systems.https://doi.org/10.1145/2996468 
LibreCat: /record/10600
DOI: 10.1145/2996468

F. DeMara, R., Platzner, M., &; Ottavi, M. (2017). Innovation in Reconfigurable Computing Fabrics: from Devices to Architectures (guest editorial). IEEE Transactions on Computers and IEEE Transactions on Emerging Topics in Computing.https://doi.org/10.1109/TETC.2016.2641599 
LibreCat: /record/10601
DOI: 10.1109/TETC.2016.2641599

Anwer, J., &; Platzner, M. (2017). Evaluating fault-tolerance of redundant FPGA structures using Boolean difference calculus. Microprocessors and Microsystems, 160–172.https://doi.org/10.1016/j.micpro.2017.06.002 
LibreCat: /record/10611
DOI: 10.1016/j.micpro.2017.06.002

Kaltschmidt, C. (2017). An AR-based Training and Assessment System for Myoelectrical Prosthetic Control. Paderborn University.
LibreCat: /record/10613

Boschmann, A., Thombansen, G., Witschen, L. M., Wiens, A., &; Platzner, M. (2017). A Zynq-based dynamically reconfigurable high density myoelectric prosthesis controller. In Design, Automation and Test in Europe (DATE).https://doi.org/10.23919/DATE.2017.7927137 
LibreCat: /record/10630
DOI: 10.23919/DATE.2017.7927137

Riaz, U. (2017). Acceleration of Industrial Analytics Functions on a Platform FPGA. Paderborn University.
LibreCat: /record/10666

Ho, N., Ashraf, I. I., Kaufmann, P., &; Platzner, M. (2017). Accurate Private/Shared Classification of Memory Accesses: a Run-time Analysis System for the LEON3 Multi-core Processor. In Proc. Design, Automation and Test in Europe Conf. (DATE).https://doi.org/10.23919/DATE.2017.7927096 
LibreCat: /record/10672
DOI: 10.23919/DATE.2017.7927096

Ho, N., Kaufmann, P., &; Platzner, M. (2017). Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor. In 2017 International Conference on Field Programmable Technology (ICFPT) (pp. 215–218).https://doi.org/10.1109/FPT.2017.8280144 
LibreCat: /record/10676
DOI: 10.1109/FPT.2017.8280144

Shen, C., Kaufmann, P., &; Braun, M. (2017). Three-Stage Power System Restoration Methodology Considering Renewable Energies. Elsevier International Journal of Electrical Power and Energy Systems (IJEPES).
LibreCat: /record/10692

Dietrich, A. (2017). Reconfigurable Cryptographic Services. Paderborn University.
LibreCat: /record/10708

Shen, C., Kaufmann, P., &; Braun, M. (2017). Fast Network Restoration by Partitioning of Parallel Black Start Zones. The Journal of Engineering, 19pp.https://doi.org/10.1049/joe.2017.0032 
LibreCat: /record/10740
DOI: 10.1049/joe.2017.0032

Squillero, G., Burelli, P., M. Mora, A., Agapitos, A., S. Bush, W., Cagnoni, S.,  Zhang (editors), M. (2017). Applications of Evolutionary Computation - 20th European Conference, EvoApplications. Springer.
LibreCat: /record/10759

Kaufmann, P., &; Kalkreuth, R. (2017). Parametrizing Cartesian Genetic Programming: An Empirical Study. In KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI. Springer International Publishing.https://doi.org/10.1007/978-3-319-67190-1_26 
LibreCat: /record/10760
DOI: 10.1007/978-3-319-67190-1_26

Kaufmann, P., Ho, N., &; Platzner, M. (2017). Evaluation Methodology for Complex Non-deterministic Functions: A Case Study in Metaheuristic Optimization of Caches. In Adaptive Hardware and Systems (AHS). IEEE.https://doi.org/10.1109/AHS.2017.8046380 
LibreCat: /record/10761
DOI: 10.1109/AHS.2017.8046380

Kaufmann, P., &; Kalkreuth, R. (2017). An Empirical Study on the Parametrization of Cartesian Genetic Programming. In Genetic and Evolutionary Computation (GECCO), Compendium. ACM.https://doi.org/10.1145/3067695.3075980 
LibreCat: /record/10762
DOI: 10.1145/3067695.3075980

Guettatfi, Z., Hübner, P., Platzner, M., &; Rinner, B. (2017). Computational self-awareness as design approach for visual sensor nodes. In 12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC) (pp. 1–8).https://doi.org/10.1109/ReCoSoC.2017.8016147 
LibreCat: /record/10780
DOI: 10.1109/ReCoSoC.2017.8016147

Ghribi, I., Abdallah, R. B., Khalgui, M., &; Platzner, M. (2017). I-Codesign: A Codesign Methodology for Reconfigurable Embedded Systems. In Communications in Computer and Information Science. Cham: Springer .https://doi.org/10.1007/978-3-319-62569-0_8 
LibreCat: /record/14893
DOI: 10.1007/978-3-319-62569-0_8

Wiersema, T., Bockhorn, A., &; Platzner, M. (2016). An Architecture and Design Tool Flow for Embedding a Virtual FPGA into a Reconfigurable System-on-Chip. Computers &; Electrical Engineering, 112--122.https://doi.org/10.1016/j.compeleceng.2016.04.005 
LibreCat: /record/222
DOI: 10.1016/j.compeleceng.2016.04.005

Boschmann, A., Agne, A., Witschen, L., Thombansen, G., Kraus, F., &; Platzner, M. (2016). FPGA-based acceleration of high density myoelectric signal processing. In 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE.https://doi.org/10.1109/reconfig.2015.7393312 
LibreCat: /record/5812
DOI: 10.1109/reconfig.2015.7393312

Cedric Mertens, J. (2016). Sprint Diagnostic with RTK-GPS \'26; IMU Sensor Fusion. Paderborn University.
LibreCat: /record/10612

Nassery, A. S. (2016). Implementation of Bilinear Pairings on Reconfigurable Hardware. Paderborn University.
LibreCat: /record/10616

Amin, O. (2016). Acceleration of EMTP for Distribution Networks on Data Flow Machines using the Latency Insertion Method. Paderborn University.
LibreCat: /record/10617

Anwer, J., &; Platzner, M. (2016). Boolean Difference Based Reliability Evaluation of Fault Tolerant Circuit Structures on FPGAs. In Euromicro Conference on Digital System Design (DSD).https://doi.org/10.1109/DSD.2016.35 
LibreCat: /record/10622
DOI: 10.1109/DSD.2016.35

Boschmann, A., Dosen, S., Werner, A., Raies, A., &; Farina, D. (2016). A novel immersive augmented reality system for prosthesis training and assessment. In Proc. IEEE Int. Conf. Biomed. Health Informatics (BHI).
LibreCat: /record/10631

Graf, T., &; Platzner, M. (2016). Adaptive playouts for online learning of policies during Monte Carlo Tree Search. Journal Theoretical Computer Science, 644, 53–62.https://doi.org/10.1016/j.tcs.2016.06.029 
LibreCat: /record/10661
DOI: 10.1016/j.tcs.2016.06.029

Horstmann, J. (2016). Beschleunigte Simulation elektrischer Stromnetze mit GPUs. Paderborn University.
LibreCat: /record/10695

Ma, C., Kaufmann, P., Töbermann, J.-C., &; Braun, M. (2016). Optimal Generation Dispatch of Distributed Generators Considering Fair Contribution to Grid Voltage Control. Renewable Energy, 87((part 2)), 946–953.https://doi.org/10.1016/j.renene.2015.07.083 
LibreCat: /record/10705
DOI: 10.1016/j.renene.2015.07.083

Makeswaran, V. (2016). Operating System Support for Reconfigurable Cache. Paderborn University.
LibreCat: /record/10706

Ibne Ashraf, I. (2016). Private/Shared Data Classification and Implementation for a Multi-Softcore Platform. Paderborn University.
LibreCat: /record/10707

Meisner, S., &; Platzner, M. (2016). Thread Shadowing: On the Effectiveness of Error Detection at the Hardware Thread Level. In Reconfigurable Computing and FPGAs (ReConFig), 2016 International Conference on (pp. 1–8).https://doi.org/10.1109/ReConFig.2016.7857193 
LibreCat: /record/10712
DOI: 10.1109/ReConFig.2016.7857193

Schmidt, M. (2016). Konzeption und Implementierung einer digitalen Ansteuerung für den Betrieb einer elektrischen Sendereinheit für induktive Energieübertragung. Paderborn University.
LibreCat: /record/10755

Squillero, G., Burelli, P., M. Mora, A., Agapitos, A., S. Bush, W., Cagnoni, S.,  Zhang (editors), M. (2016). Applications of Evolutionary Computation - 19th European Conference, EvoApplications (Vol. 9597). Springer.
LibreCat: /record/10758