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SWIFT
SWIFTsim
Commits
ecf3f140
Commit
ecf3f140
authored
Jan 21, 2016
by
Matthieu Schaller
Browse files
Details about ICs and webpage
parent
44683d78
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theory/paper_pasc/pasc_paper.tex
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ecf3f140
...
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@@ -170,11 +170,10 @@ The design and implementation of \swift \cite{gonnet2013swift,%
code built from scratch, provided the perfect opportunity to test some newer
approaches, i.e.~task-based parallelism, fully asynchronous communication, and
graph partition-based domain decompositions. The code is open-source and
available at the address
\
url
{
www.swiftsim.com
}
where all the test cases
available at the address
\
web
where all the test cases
presented in this paper can also be found.
This paper describes the results
obtained with these parallelisation techniques.
This paper describes the results obtained with these parallelisation techniques.
%#####################################################################################################
...
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@@ -517,7 +516,8 @@ 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. We then run the
\swift
code for
$
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
removed the first and last ones, where i/o occurs.
...
...
@@ -530,6 +530,8 @@ removed the first and last ones, where i/o occurs.
almost
$
1000
$
across the simulation volume.
\label
{
fig:ICs
}}
\end{figure}
On all the machines, the code was compiled without switching on explicit
vectorization nor any architecture-specific flags.
\subsection
{
x86 architecture: Cosma-5
}
...
...
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