In the past few years, with the rapid development of heterogeneous computing systems
(HCS), the issue of energy consumption has attracted a great deal of attention. How to …

For decades, the high-performance computing (HPC) community has focused on
performance, where performance is defined as speed. To achieve better performance per …

In recent years, the issue of energy consumption in parallel and distributed computing
systems has attracted a great deal of attention. In response to this, many energy-aware …

In this brief, we propose a novel real-time loop-scheduling technique to minimize energy
consumption via dynamic voltage scaling (DVS) for applications with loops considering …

We address scheduling independent and precedence constrained parallel tasks on multiple
homogeneous processors in a data center with dynamically variable voltage and speed as …

When multiple manycore processors in a data center for cloud computing are shared by a
large number parallel tasks simultaneously, we are facing the problem of allocating the …

Energy and time constrained task scheduling on multiprocessor computers with discrete
clock frequency and supply voltage and execution speed and power levels is addressed as …

Many real-time systems, such as battery-operated embedded devices, are energy
constrained. A common problem for these systems is how to reduce energy consumption in …

In this article, we focus on solving the energy optimization problem for real-time streaming
applications on multiprocessor System-on-Chip by combining task-level coarse-grained …

Energy consumption and quality of service (QoS) are two primary concerns in the
development of today's pervasive computing systems. While most of the current research in …