Hello,

I am writing an application to stream data from multiple imaging detectors, 
operating in a synchronised fashion into a single dataset in one HDF5 file. The 
dataset is a chunked 3D dataset where 2D (X,Y) images gets appended on the 3rd 
dimension (dimensions are defined as: [Z, Y, X] - so as the 2D frames are 
received I extend dimension Z.

At this point I need to work out how to deal with errors - if one node for some 
reason does something wrong like trying to write outside the dataset dimensions 
or whatever, I need to be able to close the current file and return to the 
initial state, ready to create and write to another file. For performance 
reasons I am using collective IO and so I think I need the same number of 
extend, write, etc - or the H5Fclose call will hang. Is this correct?

Can I use the H5Pset_fclose_degree to set H5F_CLOSE_STRONG safely in the 
parallel hdf5 case or will that cause a crash/hang/corrupt file?

Cheers,
Ulrik


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Ulrik Kofoed Pedersen
Senior Software Engineer
Diamond Light Source Ltd
Phone: 01235 77 8580




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