The paper presents state of the art of energy‐aware high‐performance computing (HPC), in
particular identification and classification of approaches by system and device types …

The growth of energy consumption has been explosive in current data centers, super
computers, and public cloud systems. This explosion has led to greater advocacy of green …

To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …

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

Clouds have become an attractive computing platform which offers on-demand computing
power and storage capacity. Its dynamic scalability enables users to quickly scale up and …

Traditionally, the primary performance goal of computer systems has focused on reducing
the execution time of applications while increasing throughput. This performance goal has …

Power and energy are first-order design constraints in high performance computing. Current
research using dynamic voltage scaling (DVS) relies on trading increased execution time for …

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 …

Most recent research in power-aware supercomputing has focused on making individual
nodes more efficient and measuring the results in terms of flops per watt. While this work is …

We address the problem of scheduling workflow applications on heterogeneous computing
systems like cloud computing infrastructures. In general, the cloud workflow scheduling is a …