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SWIFT
SWIFTsim
Commits
bdf1fe16
Commit
bdf1fe16
authored
Jan 22, 2016
by
Pedro Gonnet
Browse files
Merge branch 'pasc_paper' of gitlab.cosma.dur.ac.uk:swift/swiftsim into pasc_paper
parents
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d68ecf37
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theory/paper_pasc/pasc_paper.tex
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bdf1fe16
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@@ -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
\times
10
^
8
$
,
$
600
^
3
=
2
.
16
\times
10
^
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
\times
10
^
8
$
,
$
600
^
3
=
2
.
16
\times
10
^
8
$
and
$
376
^
3
=
5
.
1
\times
10
^
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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