Embedded system complexity is rapidly evolving, becoming more desktop-system-like,
requiring more complex optimization methods to adhere to more stringent design constraints …

Embedded systems have been becoming increasingly complex over recent years, with
performance becoming comparable to desktop computing systems. However, embedded …

Embedded computing systems are becoming increasingly complex, now performing tasks
that were generally limited to desktop computing systems. However, embedded system …

Modern embedded systems are longer tasked at operating a single application or function
and are increasingly required to operate more like general purpose desktop computers …

With transistor scaling nearing atomic dimensions and leakage power dissipation imposing
strict energy limitations, it has become increasingly difficult to improve energy efficiency in …

While hardware accelerators provide significant performance and energy improvements
over general-purpose processors, their limited reusability incurs high design costs. It is thus …

With the dramatic increase in scale expected for Exascale computing, there is a dire need for
tuning of hardware configurations and software optimizations such that they are in unison …

Machine learning has enabled significant benefits in diverse fields, but, with a few
exceptions, has had limited impact on computer architecture. Recent work, however, has …

Embedded systems have proliferated in various consumer and industrial applications with
the evolution of Cyber-Physical Systems and the Internet of Things. These systems are …

In the emerging data-driven science paradigm, computing systems ranging from IoT and
mobile to manycores and datacenters play distinct roles. These systems need to be …