Thomas Rost’s scientific contributions

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Publications (1)

Figure 1: Overview of the measurement infrastructure
Figure 2: Scatter plots of the measures collected from the RPi4 (top) and the RPi3 (bottom)
Figure 3: Violin plots of the measures collected for energy & execution time from RPi4 (green, top) and RPi3 (blue, bottom)
Figure 4: Violin plots of the measures collected for CPU usage from RPi4 (green, top) and RPi3 (blue, bottom)
Figure 6: Breakdown of the collected metrics for each of the 4 algorithms: onnxr (top), wasm (middle), docker (bottom)

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An empirical study on the Performance and Energy Consumption of AI Containerization Strategies for Computer-Vision Tasks on the Edge
  • Conference Paper
  • Full-text available

June 2022

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79 Reads

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18 Citations

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Robin van Emden

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Citations (1)

... In terms of popularity, it is supported by major players like Microsoft 19 , Facebook 20 , and Nvidia 21 . We performed the inference of the operators using the ONNX Runtime Engine due to optimized deployment benefits, as suggested by previous studies [90,37]. ...

Reference:

On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
An empirical study on the Performance and Energy Consumption of AI Containerization Strategies for Computer-Vision Tasks on the Edge

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Robin van Emden

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