HDF Group has just announced “HDF Server” – a freely available service that enables remote access to HDF5 content using a RESTful API. In our scenario, using HDF Server, we upload our Monopoly simulation results to the server and then interested parties can make requests for any desired content to the server – no file size issues, no downloading entire files…
Andrew Collette, Research Scientist with IMPACT, HDF Guest Blogger “…HDF5 is that rare product which excels in two fields: archiving and sharing data according to strict standardized conventions, and also ad-hoc, highly flexible and iterative use for local data analysis. For more information on using Python together with HDF5…” An enormous amount of effort has
HDF has been the primary format for NASA Earth Observing System (EOS) satellite data products for more than fifteen years. The HDF Earth Science Program supports EOS and other significant earth science monitoring activities.
The workshop program has two main tracks, one on HPC-oriented technologies that support the industry, and one on oil & gas technologies and how they can leverage HPC.
… HDF% and Spark: Balancing the workload among tasks is a concern in any parallel environment. However, that does not mean that all datasets have to be the same size. HDF5 can help with partial I/O: Instead of reading entire datasets, one could just read hyperslabs or other selections. Sampling is…
Welcome, again, to the new HDF Blog. Let this be the beginning of a lively and informative dialogue.
The HDF Group’s mission is to provide high quality software for managing large complex data, to provide outstanding services for users of these technologies, and to insure effective management of data throughout the data life cycle.
