@inbook{2fdeb740bb974978a3f54cc64a11b60d,
title = "Design-Time Analysis for the READEX Tool Suite",
abstract = "Energy efficiency and consumption are now the most important and challenging issues in current Petascale and in designing future Exascale computing systems. The European Union Horizon 2020 READEX project uses an online approach to exploit application dynamism and tune large-scale HPC applications to improve energy efficiency and performance. The paper presents the READEX methodology, consisting of the Design-Time Analysis and Runtime Application Tuning, and describes the pre-analysis steps involving application dynamism and significant region detection. During design-time, the READEX tuning plugin evaluates configurations of hardware and software tuning parameters to determine the best settings for instances of application regions. The runtime tuning dynamically switches to the best configuration for an application region during production runs. Finally, the energy savings obtained for LULESH on the Taurus supercomputer highlight the effectiveness of this methodology.",
author = "Madhura Kumaraswamy and Anamika Chowdhury and Michael Gerndt",
note = "Publisher Copyright: {\textcopyright} 2018 The authors and IOS Press.",
year = "2018",
doi = "10.3233/978-1-61499-843-3-307",
language = "English",
series = "Advances in Parallel Computing",
publisher = "IOS Press BV",
pages = "307--316",
editor = "Joubert, {Gerhard R.} and Patrizio Dazzi and Frans Peters and Marco Danelutto and Sanzio Bassini",
booktitle = "Parallel Computing is Everywhere",
}
