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-rw-r--r--Carpet/CarpetIOHDF5/doc/documentation.tex12
1 files changed, 9 insertions, 3 deletions
diff --git a/Carpet/CarpetIOHDF5/doc/documentation.tex b/Carpet/CarpetIOHDF5/doc/documentation.tex
index 2978998f1..115262e44 100644
--- a/Carpet/CarpetIOHDF5/doc/documentation.tex
+++ b/Carpet/CarpetIOHDF5/doc/documentation.tex
@@ -62,8 +62,13 @@ data is written into separate files named {\tt "<varname>.h5"}.
It implements both serial and full parallel I/O --
data files can be written/read either by processor 0 only or by all processors.
Such datafiles can be used for further postprocessing (eg. visualization with
-OpenDX or DataVault\footnote{see our VizTools page at \url{http://www.cactuscode.org/VizTools.html}
-for details}) or fed back into Cactus via the filereader capabilities of thorn
+OpenDX or DataVault%%%
+\footnote{%%%
+ See our visualization page at
+ \url{http://www.cactuscode.org/Visualization/}
+ for details.
+ }%%%
+) or fed back into Cactus via the filereader capabilities of thorn
{\bf IOUtil}.
This document aims at giving the user a first handle on how to use
@@ -174,7 +179,8 @@ Parallel output in a parallel simulation will ensure maximum I/O
performance. Note that changing the output mode to serial I/O might only be
necessary if the data analysis and visualisation tools cannot deal with
chunked output files. Cactus itself, as well as many of the tools to
-visualise Carpet HDF5 data (see \url{http://www.cactuscode.org/VizTools.html}),
+visualise Carpet HDF5 data
+(see \url{http://www.cactuscode.org/Visualization.html}),
can process both chunked and unchunked data. For instance, to visualise parallel
output datafiles with DataVault, you would just send all the individual files
to the DV server: {\tt hdf5todv phi.file\_*.h5}. In OpenDX the {\tt