Commit bdf1fe16 authored by Pedro Gonnet's avatar Pedro Gonnet
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Merge branch 'pasc_paper' of gitlab.cosma.dur.ac.uk:swift/swiftsim into pasc_paper

parents 9e09580c d68ecf37
......@@ -553,13 +553,13 @@ architectures for a representative cosmology problem.
The initial distribution of particles used in our tests is extracted and
resampled from low-redshift outputs of the EAGLE project \cite{Schaye2015}, a
large suite of state-of-the-art cosmological simulations. By selecting outputs
at late times, we constructed a simulation setup which is representative of the
most expensive part of these simulations, i.e. when the particles are
highly-clustered and no longer uniformly distributed. This distribution of
particles is shown on Fig.~\ref{fig:ICs} and periodic boundary conditions are
used. In order to fit our simulation setup into the limited memory of some of
the systems tested, we have randomly down-sampled the particle count of the
output to $800^3=5.12\times10^8$, $600^3=2.16\times10^8$ and
at late times (redshift $z=0.5$), we constructed a simulation setup which is
representative of the most expensive part of these simulations, i.e. when the
particles are highly-clustered and no longer uniformly distributed. This
distribution of particles is shown on Fig.~\ref{fig:ICs} and periodic boundary
conditions are used. In order to fit our simulation setup into the limited
memory of some of the systems tested, we have randomly down-sampled the particle
count of the output to $800^3=5.12\times10^8$, $600^3=2.16\times10^8$ and
$376^3=5.1\times10^7$ particles respectively. Scripts to generate these initial
conditions are provided with the source code. We then run the \swift code for
100 time-steps and average the wall clock time of these time-steps after having
......
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