17 Publikationen
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983518Mika, K., Porrmann, F., Kucza, N., Griessl, R., & Hagemeyer, J. (2023). RECS: A Scalable Platform for Heterogeneous Computing. 2023 IEEE 36th International System-on-Chip Conference (SOCC), 1-6. IEEE. https://doi.org/10.1109/SOCC58585.2023.10256982
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982048Mika, K., Griessl, R., Kucza, N., Porrmann, F., Kaiser, M., Tigges, L., Hagemeyer, J., et al. (2023). VEDLIoT. Next generation accelerated AIoT systems and applications. CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers, 291-296. New York, NY: ACM. https://doi.org/10.1145/3587135.3592175
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979799Griessl, R., Porrmann, F., Kucza, N., Mika, K., Hagemeyer, J., Kaiser, M., Porrmann, M., et al. (2023). Evaluation of heterogeneous AIoT Accelerators within VEDLIoT. 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6. IEEE. https://doi.org/10.23919/DATE56975.2023.10137021
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2964196Kaiser, M., Griessl, R., Kucza, N., Haumann, C., Tigges, L., Mika, K., Hagemeyer, J., et al. (2022). VEDLIoT: Very Efficient Deep Learning in IoT. In Institut of Electrical and Electronics Engineers (IEEE) (Ed.), DATE '22: Proceedings of the 2022 Conference & Exhibition on Design, Automation & Test in Europe (pp. 963-968). Leuven: European Design and Automation Association. https://doi.org/10.23919/DATE54114.2022.9774653
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982047Salami, B., Parasyris, K., Cristal, A., Unsal, O., Martorell, X., Carpenter, P., De La Cruz, R., et al. (2020). LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 169-174. Piscataway, NJ: IEEE. https://doi.org/10.23919/DATE48585.2020.9116362
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2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2920469Oleksiak, A., Kierzynka, M., Porrmann, M., Hagemeyer, J., Griessl, R., Peykanu, M., & Tigges, L. (2019). M2DC – A Novel Heterogeneous Hyperscale Microserver Platform. In C. Kachris, B. Falsafi, & D. Soudris (Eds.), Hardware Accelerators in Data Centers (1st ed., pp. 109-128). Cham, Switzerland: Springer International Publishing AG. doi:10.1007/978-3-319-92792-3
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2912818Oleksiak, A., Kierzynka, M., Piatek, W., Agosta, G., Barenghi, A., Porrmann, M., Hagemeyer, J., et al. (2017). M2DC – Modular Microserver DataCentre with heterogeneous hardware. Microprocessors and Microsystems, 52, 117-130. doi:10.1016/j.micpro.2017.05.019
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2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2918683Kaiser, M., Griessl, R., Hagemeyer, J., Jungewelter, D., Porrmann, F., Pilz, S., Porrmann, M., et al. (2017). A Reconfigurable Heterogeneous Microserver Architecture for Energy-efficient Computing. Third International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC'17) Denver, CO.
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2017 | Konferenzbeitrag | PUB-ID: 2909584Oleksiak, A., Kierzynka, M., Piatek, W., vor dem Berge, M., Christmann, W., Krupop, S., Porrmann, M., et al. (2017). M2DC: Modular Microserver Datacentre with Heterogeneous Hardware. Presented at the Energy-efficient Servers for Cloud and Edge Computing 2017 Workshop (ENeSCE 2017) - co-located with HiPEAC 2017, Stockholm, Sweden.
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909044Lachmair, J., Mieth, T., Griessl, R., Hagemeyer, J., & Porrmann, M. (2017). From CPU to FPGA – Acceleration of Self-Organizing Maps for Data Mining. International Joint Conference on Neural Networks (IJCNN 2017), 4299-4308.
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908974Oleksiak, A., Porrmann, M., Hagemeyer, J., Griessl, R., Peykanu, M., Tigges, L., Christmann, W., et al. (2016). Data centres for IoT applications: The M2DC approach (Invited paper). 2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS), 293-299. IEEE. doi:10.1109/SAMOS.2016.7818361
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2903257Kierzynka, M., Kosmann, L., vor dem Berge, M., Krupop, S., Hagemeyer, J., Griessl, R., Peykanu, M., et al. (2016). Energy Efficiency of Sequence Alignment Tools - Software and Hardware Perspectives. Future Generation Computer Systems, 67, 455-465. doi:10.1016/j.future.2016.05.006
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908980Cecowski, M., Agosta, G., Oleksiak, A., Kierzynka, M., vor dem Berge, M., Christmann, W., Krupop, S., et al. (2016). The M2DC Project: Modular Microserver DataCentre. 2016 Euromicro Conference on Digital System Design (DSD) Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/dsd.2016.76
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2016 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2909602Griessl, R., Peykanu, M., Tigges, L., Hagemeyer, J., & Porrmann, M. (2016). FiPS and M2DC: Novel Architectures for Reconfigurable Hyperscale Servers. Presented at the Workshop "Reconfigurable Computing — From Embedded Systems to Reconfigurable Hyperscale Servers" co-located with the International Conference on Field-Programmable Logic and Applications (FPL 2016), Lausanne, Switzerland.
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902039Griessl, R., Peykanu, M., Hagemeyer, J., Porrmann, M., Krupop, S., vor dem Berge, M., Kosmann, L., et al. (2015). FPGA-accelerated Heterogeneous Hyperscale Server Architecture for Next-Generation Compute Clusters. Presented at the First International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC‘15), held in conjunction with Supercomputing 2015, Austin Texas, USA.
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2698930Griessl, R., Peykanu, M., Hagemeyer, J., Porrmann, M., Krupop, S., Vor dem Berge, M., Kiesel, T., et al. (2014). A Scalable Server Architecture for Next-Generation Heterogeneous Compute Clusters. Proceedings of the 12th IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2014, 146-153. IEEE. doi:10.1109/EUC.2014.29
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2494510Griessl, R., Herbrechtsmeier, S., Porrmann, M., & Rückert, U. (2011). A Low-Power Vision Processing Platform for Mobile Robots. Proceedings of the FPL2011 Workshop on Computer Vision on Low-Power Reconfigurable Architectures