Approximation opportunities in edge computing hardware: A systematic literature review
With the increasing popularity of the Internet of Things and massive Machine Type
Communication technologies, the number of connected devices is rising. However, although …
Communication technologies, the number of connected devices is rising. However, although …
Service caching and computation reuse strategies at the edge: A survey
With the proliferation of connected devices including smartphones, novel network
connectivity and management methods are needed to meet user Quality of Experience …
connectivity and management methods are needed to meet user Quality of Experience …
[HTML][HTML] Adaptive approximate computing in edge AI and IoT applications: A review
Recent advancements in hardware and software systems have been driven by the
deployment of emerging smart health and mobility applications. These developments have …
deployment of emerging smart health and mobility applications. These developments have …
AxTrain: Hardware-oriented neural network training for approximate inference
The intrinsic error tolerance of neural network (NN) makes approximate computing a
promising technique to improve the energy efficiency of NN inference. Conventional …
promising technique to improve the energy efficiency of NN inference. Conventional …