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SWIFT
SWIFTsim
Commits
13999b4c
Commit
13999b4c
authored
Jan 21, 2016
by
Matthieu Schaller
Browse files
Floating figures now float
parent
ecf3f140
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1
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theory/paper_pasc/pasc_paper.tex
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13999b4c
...
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@@ -565,7 +565,7 @@ algorithm described above in the case of 32 MPI ranks.
\end{figure}
\begin{figure*}
[t]
\begin{figure*}
\centering
\includegraphics
[width=\textwidth]
{
Figures/scalingCosma
}
\caption
{
Strong scaling test on the Cosma-5 machine (see text for
...
...
@@ -602,7 +602,7 @@ The simulation setup with $800^3$ particles was run on that system using 16 to
Fig.~
\ref
{
fig:superMUC
}
. For this test, we used one MPI rank per node and 16
threads per node (i.e. one thread per physical core).
\begin{figure*}
[t]
\begin{figure*}
\centering
\includegraphics
[width=\textwidth]
{
Figures/scalingSuperMUC
}
\caption
{
Strong scaling test on the SuperMUC phase 1 machine (see text
...
...
@@ -653,7 +653,7 @@ test are shown on Fig.~\ref{fig:JUQUEEN2}.
\begin{figure*}
[t]
\begin{figure*}
\centering
\includegraphics
[width=\textwidth]
{
Figures/scalingBlueGene
}
\caption
{
Strong scaling test on the JUQUEEN BlueGene machine (see text
...
...
@@ -676,6 +676,8 @@ test are shown on Fig.~\ref{fig:JUQUEEN2}.
\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
$
cells.
\swift
will generate around
$
58
,
000
$
point-to-point asynchronous MPI
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