SC22 BOF: HDF5 in the Era of Exascale and Cloud Computing
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.
Webinar Followup: NeXpy – A GUI Toolbox for Analyzing HDF5 data
On Wednesday, Nov 16, 2022 09:00 AM The HDF Group hosted a webinar on NeXpy. NeXpy is a GUI application designed to to facilitate creating, reading, visualizing, and manipulating data stored in HDF5 files. Although it was primarily designed to handle neutron and x-ray scattering stored using the NeXus format, most of its functionality is applicable to other types of scientific data stored in HDF5 files or even imported in a variety of formats.
Webinar Announcement: NeXpy – A GUI Toolbox for Analyzing HDF5 data
NeXpy is a GUI application designed to to facilitate creating, reading, visualizing, and manipulating data stored in HDF5 files. Although it was primarily designed to handle neutron and x-ray scattering stored using the NeXus format, most of its functionality is applicable to other types of scientific data stored in HDF5 files or even imported in a variety of formats. Join us for a webinar on Wednesday, Nov 16, 2022 09:00 AM Central Time (US and Canada).
Can We Remove the Autotools?
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?
Workarounds for OpenMPI bug exposed by make check in HDF5 1.13.3
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…
Webinar Followup: Tablite: 9BN rows/sec + HDF5 Support for all Python Datatypes
On October 26, 2022, 9:00 a.m. Central time US/Canada, The HDF Group hosted Dr. Bjorn Madsen, Head of System Design Tools, Dematic to talk about his project, Tablite, an open source project which can be used for incremental data processing.
HDF5 in the Era of Exascale and Cloud Computing
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.
Sunset for h5serv
John Readey, The HDF Group Before there was HSDS, there was h5serv. Released in 2015, h5serv was the first implementation of the HDF Rest API. Designed mainly as a way to demonstrate the RESTful interface for HDF, h5serv had a fairly simple implementation: A single threaded application that on receiving an HTTP request, made the
Release of HDF5 1.13.3 (Newsletter #188)
We are very pleased to announce the release of HDF5 1.13.3, which can now be obtained from the HDF5 Download page.
The HDF Group appoints Dana Robinson as Director of Engineering
Dana Robinson has been appointed as the new Director of Engineering at The HDF Group. Dana started at The HDF Group in 2009 as a software engineer until stepping into the role of interim Director of Engineering in April 2022. As the Director of Engineering, Dana will lead the team of software engineers and shape the