I have a performance problem while reading the attributes from an hdf file..
it seems it takes almost 1.5 minutes to read attributes(10 each) from about
18000 groups/datasets .. hoping somebody can tell me if this is a reasonable
time indeed for such a structure...
the hdf file has some 300 groups under root
each of these 300 groups(T) have about 60 subgroups(V) and each of these 60
subgroups have 1 or 2 datasets(D)
Root
----- T1
----- V1
----- D
----- V60
---- D
....
....
....
----- T300
at each level I am reading max 10 tiny attributes..
does reading each group mean mostly a new disk seek? any suggestions for
improving performance ?
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