Towards Energy-Efficient Split Computing: A Hardware-Software Co-Design Perspective
Year: 2025
Type: article
Abstract: This poster was presented at the poster session of EuroSys 2025, the European Conference on Computer Systems, held from March 30 to April 3, 2025, in Rotterdam, Netherlands. It visualizes our work on a hardware-software co-design framework for energy-efficient split computing on edge devices. The approach dynamically selects optimal configurations across the edge-cloud continuum to minimize energy consumption while satisfying latency constraints for machine learning inference. The poster accompanies our accepted extended abstract, which is available here.
Authors: May, Daniel, Tundo, Alessandro, Ilager, Shashikant, Brandic, Ivona
Institutions: TU Wien, University of Amsterdam
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949429917
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