Abstract de la publi numéro 12915
Energy consumption is rising year after year in com-
puting centers. And this trend is even accelerating as
scientific computing becomes the key in a large number
of scientific discovery.
Scientific computing community has long been only fo-
cused on raw performance, but due to the energy crisis
looming, energy consideration are starting to be put on
In this article, we present how to use phase detection
of scientific algorithms, together with system tuning
(changing processor frequency, network link rate) and
virtual machines migrations. Using this method, we
can reduce energy consumption of large scale comput-
ing infrastructure with low impact on performance.