Energy aware execution environments and algorithms on low power multi-core architectures

Abstract

Energy consumption is a key aspect that conditions the proper functioning of nowadays data centers and high performance computing just like the launch of new services, due to its environmental negative impact and the increasing economic costs of energy. The energy efficiency of the applications used in these data centers could be improved, especially when systems’ utilization rate is low or moderate, or when targeting memory bounded applications. In this sense, energy proportionality stands for systems which power consumption is in line with the amount of work performed in each moment. As a response to these needs, the main objective of this project is to study, design, develop and analyze experimental solutions (models, programs, tools and techniques) aware of energy proportionality for scientific and engineering applications on low-power architectures. With the aim of showing the benefits of this contribution, two applications, coming from the image processing and dynamic molecular simulation fields, have been chosen.