High energy consumption is one of the biggest obstacles to the rapid development of
computing systems, and reducing energy consumption is quite urgent and necessary for …

Energy consumption has always been one of the main design problems in heterogeneous
distributed systems, whether for large cluster computer systems or small handheld terminal …

This paper studies the problem of energy-efficient scheduling for parallel tasks in high-
performance computing systems, such as clusters and data centers. Our goal is to minimize …

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 …

Reducing energy consumption for high end computing can bring various benefits such as
reducing operating costs, increasing system reliability, and environmental respect. This …

In this paper, we investigate the problem of scheduling precedence-constrained parallel
applications on heterogeneous computing systems (HCSs) like cloud computing …

Green Computing is a recent trend in computer science, which tries to reduce the energy
consumption and carbon footprint produced by computers on distributed platforms such as …

Execution time is no longer the only metric by which computational systems are judged. In
fact, explicitly sacrificing raw performance in exchange for energy savings is becoming a …

Energy consumption is one of the top challenges for achieving the next generation of
supercomputing. Codesign of hardware and software is critical for improving energy …

Multiprocessor platforms play important roles in modern computing systems, and appear in
various applications, ranging from energy-limited hand-held devices to large data centers …