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

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 …

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

Heterogeneous-ISA multi-core architectures are emerging as promising architectures to
enhance single-threaded performance. Multiple cores in such architectures differ in their …

Computation has been pushed to the edge to decrease latency and alleviate the
computational burden of the IoT applications in the cloud. However, the increasing …

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

Adaptive processors can dynamically change their hardware configuration by tuning several
knobs that optimize a given metric, according to the current application. However, the …

Asymmetric multi-core processors (AMPs) have been shown to outperform symmetric ones
in terms of performance and performance/watt. Improved performance and power efficiency …

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 …