Publication: Energy aware execution environments and algorithms on low power multi-core architectures
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2016-02
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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.
Description
Proceedings of the First PhD Symposium on Sustainable Ultrascale
Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.
Keywords
Energy, Low-power architectures, Linear algebra, NESUS
Bibliographic citation
Carretero Pérez, Jesús; et.al. (eds.). (2016). Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016). Timisoara, Romania. Universidad Carlos III de Madrid, ARCOS. Pp. 9-12.