Mobile and IoT devices have proliferated our daily lives. However, these miniaturized
computing systems should be highly energy-efficient due to their ultrasmall form factor …

In multicore processor systems, being able to accurately predict the future provides new
optimization opportunities, which otherwise could not be exploited. For example, an oracle …

Process technology-driven performance and energy efficiency improvements have slowed
down as we approach physical design limits. General-purpose manycore architectures …

With the advent of mobile processors integrating CPU and GPU, high-performance tasks,
such as deep learning, gaming, and image processing are running on mobile devices. To …

Heterogeneous systems-on-chip (SoCs) are highly favorable computing platforms due to
their superior performance and energy efficiency potential compared to homogeneous …

The complexity of heterogeneous mobile platforms is growing at a rate faster than our ability
to manage them optimally at runtime. For example, state-of-the-art systems-on-chip (SoCs) …

Mobile platforms must satisfy the contradictory requirements of fast response time and
minimum energy consumption as a function of dynamically changing applications. To …

Heterogeneous multi-core processors (HMP) with the same instruction set architecture (ISA)
integrate complex high performance big cores with power efficient small cores on the same …

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 …

Editor's notes: Multicore mobile processors have proliferated due to their efficiency in
meeting the stringent performance requirement within a limited power budget. However …