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Autotuning and adaptivity in energy efficient HPC systems
Author(s) -
Cristina Silvano,
Gianluca Palermo,
Giovanni Agosta,
Amir H. Ashouri,
Davide Gadioli,
Stefano Cherubin,
Emanuele Vitali,
Luca Benini,
Andrea Bartolini,
Daniele Cesarini,
João M. P. Cardoso,
João Bispo,
Pedro Pintó,
Ricardo Nobre,
Erven Rohou,
Loïc Besnard,
Imane Lasri,
Nico Sanna,
Carlo Cavazzoni,
Radim Cmar,
Jan Martinovič,
Kateřina Slaninová,
Martin Golasowski,
Andrea R. Beccari,
Candida Manelfi
Publication year - 2018
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/3203217.3205338
Subject(s) - toolbox , computer science , supercomputer , efficient energy use , energy (signal processing) , computer architecture , distributed computing , parallel computing , embedded system , engineering , electrical engineering , programming language , statistics , mathematics
Designing and optimizing applications for energy-efficient High Performance Computing systems up to the Exascale era is an extremely challenging problem. This paper presents the toolbox developed in the ANTAREX European project for autotuning and adaptivity in energy efficient HPC systems. In particular, the modules of the ANTAREX toolbox are described as well as some preliminary results of the application to two target use cases. 1

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