Universiteit Leiden

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System-level design for efficient execution of CNNs at the edge

A convolutional neural network (CNN) is a biologically inspired algorithm, highly capable at processing images and videos.

Minakova, S.
24 November 2022
Thesis in Leiden Repository

Nowadays, CNNs are widely known and used: they watch our safety from the CCTV cameras, help doctors diagnose diseases, navigate cars, and do many other important things. One of the recent trends is to execute CNNs on edge devices: cameras, mobile phones, smart watches, etc. This helps to run CNNs faster and ensures privacy of the data used by the CNNs. This, however, is difficult to do. The problem is that the edge devices are small and often do not have enough resources to execute CNNs. In my dissertation, I study this problem and offer solutions for it. I propose specific manners to design and execute CNNs, so that they can run on edge devices efficiently.

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