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