The HDF5 1.8.20 release is now available. It can be obtained from The HDF Group Support Download page: https://support.hdfgroup.org/downloads/ It can also be obtained directly from: https://support.hdfgroup.org/HDF5/release/obtain518.html HDF5 1.8.20 is a minor release with a few new features and changes. Important changes include: An issue with H5Zfilter_avail was fixed where it was not finding available […]
The HDF Group is pleased to announce Ann Johnson has joined as the new Director of Engineering, reporting to David Pearah, CEO. Ann was most recently the Vice President of Engineering at Reservoir Labs, responsible for global engineering operations, personnel, and project management. Prior to Reservoir Labs, Ann held several executive management positions at SiCortex,
Greetings! The HDF Group is pleased to launch our new website on the evening of Tuesday, October 17th. Our new site features a new design, a new logo, and other improvements—all based on feedback from our users. You’ll find improved and simplified navigation with a better layout focused on the needs of our customers and
Version 2.2.3 of the h4toh5 Conversion Library and Tools is now available from the HDF Downloads page: https://support.hdfgroup.org/downloads/index.html#h4h5 It can be obtained directly from: https://support.hdfgroup.org/products/hdf5_tools/h4toh5/download.html This release was tested with HDF 4.2.13, HDF5-1.8.19, and HDF5-1.10.1, and contains many changes, including: Numerous improvements were made to the tools. For example: h4toh5 now follows the HDF5 dimension scale
By Francesc Alted. He is a freelance consultant and developing author of different open source libraries like PyTables, Blosc, bcolz and numexpr and an experienced programmer in Python and C. Francesc collaborates regularly with the The HDF Group in different projects. We explain our solution for handling big data streams using HDF5 (with a little help
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
CONTENTS Release of HDF 4.2.13 Release of HDF 4.2.13 The HDF 4.2.13 release is now available. It can be obtained from the HDF4 home page: https://support.hdfgroup.org/products/hdf4/ HDF 4.2.13 is a minor release with a few changes, including: Support was added for macOS Sierra 10.12.5. Several memory leaks were fixed. The minimum CMake version supported is 3.2.2.
The HDF5 1.8.19 release is now available. It can be obtained from the HDF5 Download page: https://www.hdfgroup.org/downloads/hdf5/ It can also be obtained directly from: https://support.hdfgroup.org/HDF5/release/obtain518.html HDF5 1.8.19 is a minor release with a few new features and changes. Important changes include: Several H5PL (C) APIs were added to manipulate the entries of the plugin path
Tobias Weinzierl, Durham University, UK, Sven Köppel, FIAS, Germany, Michael Bader, TUM, Germany, HDF Guest Bloggers ExaHyPE develops a solver engine for hyperbolic differential equations solved on adaptive Cartesian meshes. It supports various HDF5 output formats. Exascale computing is expected to allow scientists and engineers to simulate, and ultimately understand, wave phenomena with unprecedented accuracy
Internal compression is one of several powerful HDF5 features that distinguish HDF5 from other binary formats and make it very attractive for storing and organizing data. Internal HDF5 compression saves storage space and I/O bandwidth and allows efficient partial access to data. Chunk storage must be used when HDF5 compression is enabled.
