Page tree

The license could not be verified: License Certificate has expired!

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 2 Next »


Performance: Parallel I/O with Chunking Storage

HDF5 has to map the coordinate of data from the file space to the memory space in chunked storage. If the shape of the memory and file space is the same, HDF5 can optimize the mapping process significantly. Otherwise, a general mapping routine will map the coordinate one by one. We recommend that applications use the same shape for both the memory space and file space.

For example, the following case may cause bad performance:

file space:           2-D: the first dimension 1, the second dimension FSIZE

memory space:  1-D: The fist dimension DMAX

 

If you change it as follows:

file space:          2-D: the first dimension 1, the second dimension FSIZE

memory space:  2-D: the first dimension 1, the second dimension DMAX

 

Then, the performance may be much improved.