Meyer, M., Kenter, T., &; Plessl, C. (2023). Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. ACM Transactions on Reconfigurable Technology and Systems.https://doi.org/10.1145/3576200 
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Haake, C.-J., Meyer auf der Heide, F., Platzner, M., Wachsmuth, H., &; Wehrheim, H. (2023). On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.17619/UNIPB/1-1797 
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Hansmeier, T., Kenter, T., Meyer, M., Riebler, H., Platzner, M., &; Plessl, C. (2023). Compute Centers I: Heterogeneous Execution Environments. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &; H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 165–182). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068642 
LibreCat: /record/45893
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Hansmeier, T., &; Platzner, M. (2022). Integrating Safety Guarantees into the Learning Classifier System XCS. Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, 13224, 386–401.https://doi.org/10.1007/978-3-031-02462-7_25 
LibreCat: /record/30971
DOI: 10.1007/978-3-031-02462-7_25

Hansmeier, T., Brede, M., &; Platzner, M. (2022). XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion. GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2071–2079.https://doi.org/10.1145/3520304.3533977 
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Hansmeier, T. (2021). Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS. HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21), Online.https://doi.org/10.1145/3468044.3468055 
LibreCat: /record/29137
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Hansmeier, T., &; Platzner, M. (2021). An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS. GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1639–1647.https://doi.org/10.1145/3449726.3463159 
LibreCat: /record/21813
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Hansmeier, T., Kaufmann, P., &; Platzner, M. (2020). An Adaption Mechanism for the Error Threshold of XCSF. GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1756–1764.https://doi.org/10.1145/3377929.3398106 
LibreCat: /record/17063
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Hansmeier, T., Kaufmann, P., &; Platzner, M. (2020). Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold. In GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 125–126). New York, NY, United States: Association for Computing Machinery (ACM).https://doi.org/10.1145/3377929.3389968 
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Karl, H., Kundisch, D., Meyer auf der Heide, F., &; Wehrheim, H. (2020). A Case for a New IT Ecosystem: On-The-Fly Computing. Business &; Information Systems Engineering, 62(6), 467–481.https://doi.org/10.1007/s12599-019-00627-x 
LibreCat: /record/13770
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Riebler, H., Vaz, G. F., Kenter, T., &; Plessl, C. (2019). Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL. ACM Trans. Archit. Code Optim. (TACO), 16(2), 14:1–14:26.https://doi.org/10.1145/3319423 
LibreCat: /record/7689
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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

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

Kenter, T., Mahale, G., Alhaddad, S., Grynko, Y., Schmitt, C., Afzal, A., Hannig, F., Förstner, J., &; Plessl, C. (2018). OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes. Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM). Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM).https://doi.org/10.1109/FCCM.2018.00037 
LibreCat: /record/1588
DOI: 10.1109/FCCM.2018.00037

Riebler, H., Vaz, G. F., Kenter, T., &; Plessl, C. (2018). Automated Code Acceleration Targeting Heterogeneous OpenCL Devices. Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP).https://doi.org/10.1145/3178487.3178534 
LibreCat: /record/1204
DOI: 10.1145/3178487.3178534

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

Riebler, H., Lass, M., Mittendorf, R., Löcke, T., &; Plessl, C. (2017). Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 10(3), 24:1-24:23.https://doi.org/10.1145/3053687 
LibreCat: /record/18
DOI: 10.1145/3053687

Kenter, T., Förstner, J., &; Plessl, C. (2017). Flexible FPGA design for FDTD using OpenCL. Proc. Int. Conf. on Field Programmable Logic and Applications (FPL).https://doi.org/10.23919/FPL.2017.8056844 
LibreCat: /record/1592
DOI: 10.23919/FPL.2017.8056844

Riebler, H., Vaz, G. F., Plessl, C., Trainiti, E. M. G., Durelli, G. C., &; Bolchini, C. (2016). Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. Proc. HiPEAC Workshop on Reonfigurable Computing (WRC).
LibreCat: /record/31

Kenter, T., &; Plessl, C. (2016). Microdisk Cavity FDTD Simulation on FPGA using OpenCL. Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC).
LibreCat: /record/24