Champaign, IL — The HDF Group today announced that its Board of Directors has appointed David Pearah as its new Chief Executive Officer. The HDF Group is a software company dedicated to creating high performance computing technology to address many of today’s Big Data challenges. Pearah replaces Mike Folk upon his retirement after ten years […]
Release of HDF5-1.8.18 (Newsletter #152) – 11/16/16 Release of HDF Java Products for HDF5-1.8 (HDFView 2.13, HDF JNI 3.2.1) (Newsletter #151) – 7/25/16 Release of HDF 4.2.12 (Newsletter #150) – 6/30/16 Release of HDF5-1.10.0-patch (Bulletin) – 5/26/16 Release of HDF5-1.8.17 (Newsletter #149) – 5/13/16 Release of HDF5-1.10.0 (Newsletter #148) – 3/31/16
Why do we use HDF5? We moved to HDF5 for our simulation data in 2016 from using our own proprietary file format. HDF5 had been on our radar for some time and we spent a couple of years investigating it and other file formats before deciding which we should switch to. HDF5 met all the criteria we had at the time. Amongst the criteria were: performance in speed and size, an accepted standard for scientific data, being open source, providing additional tools.
The HDF Group just released HDF5 1.13.1. All of the 1.13 series are experimental releases, which allows us to test new features with our users and get feedback while we are working on the development of the next major maintenance release. Learn more about this new release of HDF5.
Pre-release versions of both HDFView 3.0 and HDF5-1.10.3 are now available. We encourage users to try them and let us know if you encounter any issues or have any suggestions.
Elena Pourmal and Quincey Koziol – The HDF Group UPDATE: Check our support pages for the newest version of HDF5-1.10.0. Concurrent Access to an HDF5 File: Single Writer / Multiple Reader (SWMR) Virtual Dataset (VDS) Scalable Chunk Indexing Persistent Free Filespace Tracking Collective Metadata I/O Integration of Java HDF5 JNI into HDF5 Many changes have
We are currently planning for a Q2 2016 release of the product. In the meantime, we are working with a few early adopters on finalizing the initial feature set. If you have additional questions about HDF5/ODBC, or if you would like to become an early adopter, please contact us
These are newsletters from The HDF Group, added to this site for archival purposes.
single write/multiple read, virtual dataset, scalable chunk indexing, free file space tracking, collective metadata I/O
The HDFView 2.14 and HDF Java 3.3.2 release is now available. This release supports HDF5-1.8 and 32-bit object identifiers and was tested with HDF5-1.8.19 and HDF 4.2.13. It can be obtained from: https://support.hdfgroup.org/downloads/index.html It can also be obtained directly from: https://support.hdfgroup.org/products/java/release/download.html More information on this release can be found on the HDF Java home page. This is
