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- W2534570429 abstract "This position paper presents a novel heterogeneous CPU-GPU multi-level cloud acceleration focusing on applications running on embedded systems found on low-power devices. A runtime system performs energy and performance estimations in order to automatically select local CPU-based and GPU-based tasks that should be seamlessly executed on more powerful remote devices or cloud infrastructures. Moreover, it proposes, for the first time, a secure unified model where almost any device or infrastructure can operate as an accelerated entity and/or as an accelerator serving other less powerful devices in a secure way." @default.
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- W2534570429 date "2016-01-01" @default.
- W2534570429 modified "2023-10-14" @default.
- W2534570429 title "Heterogeneous Secure Multi-level Remote Acceleration Service for Low-power Integrated Systems and Devices" @default.
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- W2534570429 doi "https://doi.org/10.1016/j.procs.2016.08.287" @default.
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