Www.hdfgroup.org The HDF Group Virtual Object Layer in HDF5 Exploring new HDF5 concepts May 30-31, 2012HDF5 Workshop at PSI 1.

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The HDF Group Virtual Object Layer in HDF5 Exploring new HDF5 concepts May 30-31, 2012HDF5 Workshop at PSI 1

MOTIVATION May 30-31, 2012HDF5 Workshop at PSI2

HDF5 Data Model Simple model with two main objects - groups and datasets Powerful and widely used Wide range of applications rely on this model Limited by the HDF5 library itself: Local access to a single HDF5 file HPC applications suffer performance penalties due to the required coordination for file access among multiple processes May 30-31, 2012HDF5 Workshop at PSI3

Virtual Object Layer Goal -Provide an application with the HDF5 data model and API, but allow different underlying storage mechanisms New layer below HDF5 API -Intercepts all API calls that can touch the data on disk and routes them to a Virtual Object Driver Potential Object Drivers (or plugins): -Native HDF5 driver (writes to HDF5 file) -Raw driver (maps groups to file system directories and datasets to files in directories) -Remote driver (the file exists on a remote machine) May 30-31, 2012HDF5 Workshop at PSI4

Virtual Object Layer May 30-31, 2012HDF5 Workshop at PSI5

Why not use the VFL? VFL is implemented below the HDF5 abstract model -Deals with blocks of bytes in the storage container -Does not recognize HDF5 objects nor abstract operations on those objects VOL is layered right below the API layer to capture the HDF5 model May 30-31, 2012HDF5 Workshop at PSI6

Sample API Function Implementation hid_t H5Dcreate2 (hid_t loc_id, const char *name, hid_t type_id, hid_t space_id, hid_t lcpl_id, hid_t dcpl_id, hid_t dapl_id) { /* Check arguments */ … /* call corresponding VOL callback for H5Dcreate */ dset_id = H5_VOL_create (TYPE_DATASET, …); /* Return result to user (yes the dataset is created, or no here is the error) */ return dset_id; } May 30-31, 2012HDF5 Workshop at PSI7

DESIGN CONSIDERATIONS May 30-31, 2012HDF5 Workshop at PSI8

VOL Plugin Selection Use a pre-defined VOL plugin: hid_t fapl = H5Pcreate(H5P_FILE_ACCESS); H5Pset_fapl_mds_vol(fapl, …); hid_t file = H5Fcreate("foo.h5", …, …, fapl); H5Pclose(fapl); Register user defined VOL plugin: H5VOLregister (H5VOL_class_t *cls) H5VOLunregister (hid_t driver_id) H5Pget_plugin_info (hid_t plist_id) May 30-31, 2012HDF5 Workshop at PSI9

Interchanging and Stacking Plugins Interchanging VOL plugins Should be a valid thing to do User’s responsibility to ensure plugins coexist Stacking plugins Stacking should make sense. For example, the first VOL plugin in a stack could be a statistics plugin, that does nothing but gather information on what API calls are made and their corresponding parameters. May 30-31, 2012HDF5 Workshop at PSI10

Mirroring Extension to stacking HDF5 API calls are forwarded through a mirror plugin to two or more VOL plugins May 30-31, 2012HDF5 Workshop at PSI11

Sample Plugins (I) Different File Format plugins May 30-31, 2012HDF5 Workshop at PSI12

Sample Plugins (II) Metadata Server Plugin May 30-31, 2012HDF5 Workshop at PSI13

Sample Plugins: Metadata Server May 30-31, 2012HDF5 Workshop at PSI14 MDS Compute Nodes H5F H5D H5A H5O H5G H5L Metadata File VOL Raw Data File Set aside process HDF5 container Metadata Application processes

Raw Plugin The flexibility of the virtual object layer provides developers with the option to abandon the single file, binary format like the native HDF5 implementation. A “raw” file format could map HDF5 objects (groups, datasets, etc …) to file system objects (directories, files, etc …). The entire set of raw file system objects created would represent one HDF5 container. Useful to the PLFS package ( May 30-31, 2012HDF5 Workshop at PSI15

Remote Plugin A remote VOL plugin would allow access to files located remotely. The plugin could have an HDF5 server module located where the HDF5 file resides and listens to incoming requests from a remote process. Use case: Remote visualization Large, remote datasets are very expensive to migrate to the local visualization system. It would be faster to just enable in situ visualization to remotely access the data using the HDF5 API. May 30-31, 2012HDF5 Workshop at PSI16

IMPLEMENTATION CONSIDERATIONS May 30-31, 2012HDF5 Workshop at PSI17

Implementation VOL Class -Data structure containing general variables and a collection of function pointers for HDF5 API calls Function Callbacks -API routines that potentially touch data on disk -H5F, H5D, H5A, H5O, H5G, H5L, and H5T May 30-31, 2012HDF5 Workshop at PSI18

Implementation We will end up with a large set of function callbacks: Lump all the functions together into one data structure OR Have a general class that contains all common functions, and then children of that class that contain functions specific to certain HDF5 objects OR For each object have a set of callbacks that are specific to that object (This is design choice that has been taken). May 30-31, 2012HDF5 Workshop at PSI19

Filters Need to keep HDF5 filters in mind Where is the filter applied, before or after the VOL plugin? -Logical guess now would be before, to avoid having all plugins deal with filters May 30-31, 2012HDF5 Workshop at PSI20

Implementation Plan The following is a tentative implementation plan March 2012: Publish Request for Comment document (RFC) with design and implementation ideas April/May 2012: Have the prototype VOL architecture in place inside the library Summer 2012: Prototype implementation for the several plugins: Metadata Server plugin Raw Plugin DSM Plugin Maybe more depending on awaited funding for submitted proposals May 30-31, 2012HDF5 Workshop at PSI21

The HDF Group Thank You! Questions? May 30-31, 2012HDF5 Workshop at PSI 22