Intermittent computing (ImC) refers to the scenario where periods of program execution are
separated by reboots. ImC systems are generally powered by energy-harvesting (EH) …

With the advent of ultra-low-power embedded processors, energy harvesting devices
(EHDs) are becoming exceedingly prevalent. These devices are highly portable, self …

Abstract Battery-powered, ultra-low-power embedded devices are often limited by the size
and maintenance costs of batteries, giving rise to battery-less devices and the emergence of …

Energy-harvesting devices—which operate solely on energy collected from their
environment—have brought forth a new paradigm of intermittent computing. These devices …

Deep neural network (DNN) inference on intermittently powered battery-less devices has the
potential to unlock new possibilities for sustainable and intelligent edge applications …

Intermittent deep neural network (DNN) inference is a promising technique to enable
intelligent applications on tiny devices powered by ambient energy sources. Nonetheless …

Intermittently powered embedded devices ensure forward progress of programs through
state checkpointing in non-volatile memory. Checkpointing is, however, expensive in energy …

With the progress in energy harvesting circuits and the decrease in power requirements of
processing, sensing, and communication hardware, we have the potential of freeing the …

Embedded systems experience execution interruption due to power failures. After a power
failure restarts, recovering the interrupted program from the initial state may lead to non …

Intermittent embedded devices and systems are widely used in various scenarios, but they
often experience power failures due to unstable power supplies. Non-volatile memory …