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92 Publications
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2023 | Dissertation | LibreCat-ID: 47837
Hansmeier, T. (2023). XCS for Self-awareness in Autonomous Computing Systems.
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2023 | Book Chapter | LibreCat-ID: 45893 | 
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
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2023 | Bachelorsthesis | LibreCat-ID: 42839
Mehlich, F. (2023). An Evaluation of XCS on the OpenAI Gym. Paderborn University.
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2023 | Book | LibreCat-ID: 45863 |
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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2023 | Journal Article | LibreCat-ID: 38041 |
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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2022 | Conference Paper | LibreCat-ID: 30971
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
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2022 | Conference Paper | LibreCat-ID: 33253
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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2022 | Dissertation | LibreCat-ID: 29769 |
Ahmed, Q. A. (2022). Hardware Trojans in Reconfigurable Computing. Paderborn University, Paderborn, Germany. https://doi.org/10.17619/UNIPB/1-1271
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2021 | Mastersthesis | LibreCat-ID: 29151
Kashikar, C. (2021). A Comparison of Machine Learning Techniques for the On-line Characterization of Tasks Executed on Heterogeneous Compute Nodes. Paderborn University.
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2021 | Bachelorsthesis | LibreCat-ID: 22483
Brede, M. (2021). Implementation and Profiling of XCS in the Context of Embedded Systems. Paderborn: Paderborn University.
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2021 | Conference Paper | LibreCat-ID: 29137
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
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2021 | Conference Paper | LibreCat-ID: 21813
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
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2020 | Conference Paper | LibreCat-ID: 17063
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
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2020 | Conference Paper | LibreCat-ID: 16363
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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2020 | Journal Article | LibreCat-ID: 13770
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
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2019 | Journal Article | LibreCat-ID: 7689
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
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2019 | Dissertation | LibreCat-ID: 14849
Vaz, G. F. (2019). Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems. Universität Paderborn.
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2019 | Mastersthesis | LibreCat-ID: 14546
Hansmeier, T. (2019). Autonomous Operation of High-Performance Compute Nodes through Self-Awareness and Learning Classifiers. Universität Paderborn.
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2019 | Dissertation | LibreCat-ID: 34167
Riebler, H. (2019). Efficient parallel branch-and-bound search on FPGAs using work stealing and instance-specific designs. https://doi.org/10.17619/UNIPB/1-830
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2018 | Conference Paper | LibreCat-ID: 3362
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
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