2025W

• Introduction to Computational Sustainability / 191.021 / VU

• Towards Energy-Efficient Split Computing: A Hardware-Software Co-Design Perspective / May, D., Tundo, A., Ilager, S., & Brandic, I. (2025). Towards Energy-Efficient Split Computing: A Hardware-Software Co-Design Perspective [Poster Presentation]. EuroSys 2025, Rotterdam, Netherlands (the). http://hdl.handle.net/20.500.12708/225745
• DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge / May, D., Tundo, A., Ilager, S., & Brandic, I. (2024). DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge. arXiv. https://doi.org/10.48550/arXiv.2410.23881
• Symptom-Score des Sterbeprozesses zur Prognosebeurteilung des Sterbeprozesses bei Bewohnern in Pflegeheimen / May, D., Bonelli, J., Feuchtner, M., Filzmoser, P., Prat, E. H., & Kummer, S. (2024). Symptom-Score des Sterbeprozesses zur Prognosebeurteilung des Sterbeprozesses bei Bewohnern in Pflegeheimen. HeilberufeSCIENCE, 15(3–4), 95–103. https://doi.org/10.1007/s16024-024-00412-1
• Neural network splitting for energy-efficient edge-AI / May, D. B. (2024). Neural network splitting for energy-efficient edge-AI [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.111983
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