17 Publikationen
-
-
-
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2964196Kaiser M, Griessl R, Kucza N, et al. 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. Leuven: European Design and Automation Association; 2022: 963-968.PUB | DOI
-
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982047Salami B, Parasyris K, Cristal A, et al. LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. In: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE). Piscataway, NJ: IEEE; 2020: 169-174.PUB | DOI
-
2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2920469Oleksiak A, Kierzynka M, Porrmann M, et al. M2DC – A Novel Heterogeneous Hyperscale Microserver Platform. In: Kachris C, Falsafi B, Soudris D, eds. Hardware Accelerators in Data Centers. 1st ed. Cham, Switzerland: Springer International Publishing AG; 2019: 109-128.PUB | DOI
-
-
2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2918683Kaiser M, Griessl R, Hagemeyer J, et al. A Reconfigurable Heterogeneous Microserver Architecture for Energy-efficient Computing. In: Third International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC'17). Denver, CO; 2017.PUB | PDF | Download (ext.)
-
2017 | Konferenzbeitrag | PUB-ID: 2909584Oleksiak A, Kierzynka M, Piatek W, et al. 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.PUB
-
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909044Lachmair J, Mieth T, Griessl R, Hagemeyer J, Porrmann M. From CPU to FPGA – Acceleration of Self-Organizing Maps for Data Mining. In: International Joint Conference on Neural Networks (IJCNN 2017). 2017: 4299-4308.PUB
-
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908974Oleksiak A, Porrmann M, Hagemeyer J, et al. Data centres for IoT applications: The M2DC approach (Invited paper). In: 2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS). IEEE; 2016: 293-299.PUB | DOI
-
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2903257Kierzynka M, Kosmann L, vor dem Berge M, et al. Energy Efficiency of Sequence Alignment Tools - Software and Hardware Perspectives. Future Generation Computer Systems. 2016;67:455-465.PUB | PDF | DOI | Download (ext.) | WoS
-
-
2016 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2909602Griessl R, Peykanu M, Tigges L, Hagemeyer J, Porrmann M. 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.PUB | Download (ext.)
-
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902039Griessl R, Peykanu M, Hagemeyer J, et al. 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.PUB | PDF
-
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2698930Griessl R, Peykanu M, Hagemeyer J, et al. A Scalable Server Architecture for Next-Generation Heterogeneous Compute Clusters. In: Proceedings of the 12th IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2014. IEEE; 2014: 146-153.PUB | DOI | Download (ext.)
-
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2494510Griessl R, Herbrechtsmeier S, Porrmann M, Rückert U. A Low-Power Vision Processing Platform for Mobile Robots. In: Proceedings of the FPL2011 Workshop on Computer Vision on Low-Power Reconfigurable Architectures. 2011.PUB | Download (ext.)