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  Written by Matteo Satta EU funding has always helped cities support their innovation processes, particularly on digital transformation and environment, but the approach is now moving toward a new ambitious […]
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AutoTuning and Adaptivity appRoach for Energy efficient eXascale HPC systems (ANTAREX)
Start date: Sep 1, 2015, End date: Aug 31, 2018 PROJECT FINISHED

Energy-efficient heterogeneous supercomputing architectures need to be coupled with a radically new software stack capable of exploiting the benefits offered by the heterogeneity at all the different levels (supercomputer, job, node) to meet the scalability and energy efficiency required by Exascale supercomputers.ANTAREX will solve these challenging problems by proposing a disruptive holistic approach spanning all the decision layers composing the supercomputer software stack and exploiting effectively the full system capabilities (including heterogeneity and energy management). The main goal of the ANTAREX project is to provide a breakthrough approach to express application self-adaptivity at design-time and to runtime manage and autotune applications for green and heterogenous High Performance Computing (HPC) systems up to the Exascale level.