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Title: On the energy footprint of I/O management in Exascale HPC systems

The advent of unprecedentedly scalable yet energy hungry Exascale supercomputers poses a major challenge in sustaining a high performance-per-watt ratio. With I/O management acquiring a crucial role in supporting scientific simulations, various I/O management approaches have been proposed to achieve high performance and scalability. But, the details of how these approaches affect energy consumption have not been studied yet. Therefore, this paper aims to explore how much energy a supercomputer consumes while running scientific simulations when adopting various I/O management approaches. In particular, we closely examine three radically different I/O schemes including time partitioning, dedicated cores, and dedicated nodes. To accomplish this, we implement the three approaches within the Damaris I/O middleware and perform extensive experiments with one of the target HPC applications of the Blue Waters sustained-petaflop supercomputer project: the CM1 atmospheric model. Our experimental results obtained on the French Grid'5000 platform highlight the differences among these three approaches and illustrate in which way various configurations of the application and of the system can impact performance and energy consumption. Moreover, we propose and validate a mathematical model that estimates the energy consumption of a HPC simulation under different I/O approaches. This proposed model gives hints to pre-select the mostmore » energy-efficient I/O approach for a particular simulation on a particular HPC system and therefore provides a step towards energy-efficient HPC simulations in Exascale systems. To the best of our knowledge, our work provides the first in-depth look into the energy-performance tradeoffs of I/O management approaches.« less
ORCiD logo [1] ;  [2] ;  [2] ;  [3] ;  [2]
  1. Ecole Normale Supérieure of Rennes (ENS) (France); Argonne National Lab. (ANL), Argonne, IL (United States)
  2. Inra, Rennes (France)
  3. Centre National de la Recherche Scientifique (CNRS), Annecy-le-Vieux (France). Research Inst. of Computer Science and Random Systems (IRISA)
Publication Date:
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Future Generations Computer Systems
Additional Journal Information:
Journal Volume: 62; Journal Issue: C; Journal ID: ISSN 0167-739X
Research Org:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Country of Publication:
United States
97 MATHEMATICS AND COMPUTING; I/O; Damaris; Dedicated Cores; Dedicated Nodes; Energy; Exascale Computing
OSTI Identifier: