Attend the 2023 HDF5 User Group (HUG) Meeting
Registration is now open for the 2023 HDF5 User Group (HUG) Meeting being held August 16-18, 2023 at Scott Laboratory on The Ohio State University campus.
Registration is now open for the 2023 HDF5 User Group (HUG) Meeting being held August 16-18, 2023 at Scott Laboratory on The Ohio State University campus.
The HDF5 library and tools 1.14.1 release is now available from the HDF5 Download page.
The HDF5 1.10.10 release is now available from the HDF5 1.10.10 download page on the HDF Support Portal.
We are very pleased to announce the release of HDF5 1.8.23, which can now be obtained from the HDF5 Download page.
We are happy to announce the release of HDF5 1.14.0, which can now be obtained from the HDF5 Download page. More information about this release can be found on the HDF5 1.14.0 release page. For scheduled future releases, please refer to the release schedule.
On Wednesday, November 16 at SC22, we participated in a HDF5 BOF session called HDF5 in the Era of Exascale and Cloud Computing. We’ve posted the slide decks from each speaker here.
HDF5 can be built using two build systems: the Autotools (since HDF5 1.0) and CMake (since HDF5 1.8.5). For a long time, the Autotools were better maintained and CMake was more of an “alternative” build system that we primarily used for handling Windows support (the legacy Visual Studio projects were removed in HDF5 1.8.11).
This is no longer the case though—CMake support in HDF5 is (almost) as good as Autotools support and CMake, in general, is much more commonly used now than when we first introduced it.
So why are we still hanging on to the legacy Autotools?
While developing HDF5 1.13.3, a bug was discovered in OpenMPI’s default I/O layer, affecting OpenMPI versions 4.1.0-4.1.4. It will be fixed in future releases. This bug can cause incorrect results from MPI I/O requests, unless one of the following parameters is passed to mpirun…
The HDF Group and friends will be hosting a BOF at Supercomputing 2022 (SC22) on Wednesday, 16 November 2022 in the 12:15 pm – 1:15 pm CST session.
When using HDF5 or HSDS you’ve likely benefited (even if you weren’t aware of it) caching features built into the software that can drastically improve performance. HSDS and h5pyd utilize caching to improve performance for service-based applications. In this post, we’ll do a quick review of how HDF5 library caching works and then dive into HSDS and h5pyd caching (with a brief discussion of web caching).