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May 21, 2019
The High-Performance Computing (HPC) community is currently undergoing
disruptive technology changes in almost all fields, including a switch
towards massive parallelism with several thousand compute cores on a
single GPU or accelerator and new, complex networks.
The energy consumption of these machines will continue to grow in the
future, making energy one of the principal cost factors of machine
ownership. This explains why even the classic
metric "flop/s", generally used to evaluate HPC applications and
machines, is widely regarded as to be replaced by an energy-centric metric "flop/watt".
One approach to predict energy consumption is
through simulation, however, an accurate simulation of the system is
crucial to estimate the energy faithfully. In this thesis, we
contribute to the performance and energy prediction of HPC architectures.
We propose an energy model which we have implemented in the open
source SimGrid simulator. We validate this model by carefully and
systematically comparing it with real experiments.
We leverage this contribution to both evaluate existing and propose
new DVFS governors that are particularly designed to suit the HPC context.
Committee:
- Martin SCHULZ, Professor, Technical University of Munich
- Laurent LEFÈVRE, Research Scientist, Inria / ENS Lyon
- Amina GUERMOUCHE, Assistant Professor, Télécom SudParis
- Jean-François MÉHAUT, Professor, Grenoble-Alpes University
- Arnaud LEGRAND, Senior Research Scientist, CNRS, PhD Advisor
