  This document is one of the deliverable reports created for the ESCAPE
project. ESCAPE stands for Energy-efficient Scalable Algorithms for Weather
Prediction at Exascale. The project develops world-class, extreme-scale
computing capabilities for European operational numerical weather prediction
and future climate models. This is done by identifying Weather & Climate dwarfs
which are key patterns in terms of computation and communication (in the spirit
of the Berkeley dwarfs). These dwarfs are then optimised for different hardware
architectures (single and multi-node) and alternative algorithms are explored.
Performance portability is addressed through the use of domain specific
languages.
  In this deliverable we report on energy consumption measurements of a number
of NWP models/dwarfs on the Intel E5-2697v4 processor. The chosen energy
metrics and energy measurement methods are documented. Energy measurements are
performed on the Bi-Fourier dwarf (BiFFT), the Acraneb dwarf, the ALARO 2.5 km
Local Area Model reference configuration (B\'enard et al. 2010, Bubnova et al.
1995) and on the COSMO-EULAG Local Area Model reference configuration
(Piotrowski et al. 2018). The results show a U-shaped dependence of the
consumed energy on the wall-clock time performance. This shape can be explained
from the dependence of the average power of the compute nodes on the total
number of cores used.
  We compare the energy consumption of the BiFFT dwarf on the E5-2697v4
processor to that on the Optalysys optical processors. The latter are found to
be much less energy costly, but at the same time it is also the only metric
where they outperform the classical CPU. They are non-competitive as far as
wall-clock time and especially numerical precision are concerned.
