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SWIFT
SWIFTsim
Commits
44683d78
Commit
44683d78
authored
Jan 21, 2016
by
Matthieu Schaller
Browse files
Webpage, wiggles and new conclusion section title
parent
6f5b2239
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theory/paper_pasc/pasc_paper.tex
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44683d78
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@@ -166,13 +166,15 @@ OpenMP\cite{ref:Dagum1998} and MPI\cite{ref:Snir1998}, and domain
decompositions based on space-filling curves
\cite
{
warren1993parallel
}
.
The design and implementation of
\swift
\cite
{
gonnet2013swift,
%
theuns2015swift,gonnet2015efficient
}
, a large-scale cosmological
simulation 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.
This paper describes the results obtained with these parallelisation
techniques.
theuns2015swift,gonnet2015efficient
}
, a large-scale cosmological simulation
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
presented in this paper can also be found.
This paper describes the results
obtained with these parallelisation techniques.
%#####################################################################################################
...
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@@ -570,7 +572,8 @@ algorithm described above in the case of 32 MPI ranks.
Using 16 threads per node (no use of hyper-threading) with one MPI
rank per node, a reasonable parallel efficiency is achieved when
increasing the thread count from 1 (1 node) to 256 (16 nodes) even
on a relatively small test case.
on a relatively small test case. Wiggles are likely due to the way thread
affinity is set by the operating system at run time.
\label
{
fig:cosma
}}
\end{figure*}
...
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@@ -669,7 +672,7 @@ test are shown on Fig.~\ref{fig:JUQUEEN2}.
%#####################################################################################################
\section
{
Conclusion
s
}
\section
{
Discussion
\&
Conclusion
}
When running on the SuperMUC machine with 32 nodes (512 cores), each MPI rank
contains approximately
$
1
.
6
\times
10
^
7
$
particles in
$
2
.
5
\times
10
^
5
$
...
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