CarpetIOHDF5: brief note on how to visualise parallel HDF5 output data

darcs-hash:20050628153314-776a0-d7649e76b4fcf801a37bbfae4eb68bbf7b0532f5.gz

1 files changed, 7 insertions, 1 deletions

diff --git a/Carpet/CarpetIOHDF5/doc/documentation.tex b/Carpet/CarpetIOHDF5/doc/documentation.tex
index 4d5ab1799..3ad625394 100644
--- a/Carpet/CarpetIOHDF5/doc/documentation.tex
+++ b/Carpet/CarpetIOHDF5/doc/documentation.tex
@@ -157,7 +157,13 @@ 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, can process both chunked and unchunked data.
+visualise Carpet HDF5 data (see \url{http://www.cactuscode.org/VizTools.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
+ImportCarpetIOHDF5} module can be given any filename from the set of parallel
+chunked files; the module will determine the total number of files in the set
+automatically and read them all.
 
 
 \section{Checkpointing \& Recovery and Importing Data}