Hi, I am using Python h5py to use HDF5, but I am planning on pushing into C/C++.
I am using HDF5 to store sparse matrices which I need to do matrix products on. I am using chunked storage which 'appears' to be storing the data in a block sparse format. PLEASE CONFIRM that this is true. I couldn't find documentation stating this to be true, but by looking at file sizes during data loading, my block sparse assumption seemed to be true. I would like to matrix multiply and use the sparsity of the data to make it go faster. I can handle the algorithmic aspect, but I can't figure out how to see which chunks are allocated so I can iterate over these. If there is a better way to go at this (existing code!), please let me know. I am new to HDF5, and thoroughly impressed. Thank you, Aidan Plenert Macdonald Website <http://acsweb.ucsd.edu/~amacdona/>
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