The HDF Group and partners gave a talk “Sharing Experience on HDF5 VOL Connectors Development and Maintenance” on Wednesday, May 11, 1:00-2:00 PM ET as part of the ECP 2022 Community BOF days .
This presentation was given at the 2022 Exascale Computing Project Annual meeting, as part of the tutorial “Using HDF5 Efficiently on HPC Systems.”
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.
If you are looking to store HDF5 data in the cloud there are several different technologies that can be used and choosing between them can be somewhat confusing. In this post, I thought it would be helpful to cover some of the options with the hope of helping HDF users make the best decision for their deployment. Each project will have its own requirements and special considerations, so please take this as just a starting point.
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?
M. Scot Breitenfeld, HDF application support specialist and software engineer at The HDF Group, will present a session, Introduction to HDF5 for HPC Data Models, Analysis, and Performance on July 27, 2022. Scot’s talk offers a comprehensive overview of HDF5 for anyone who works with big data in an HPC environment. The talk consists of
Lindsay Powers, The HDF Group The HDF Group is collaborating with the University of California, Santa Barbara and Data Observation Network for Earth (DataONE), to help scientific research communities enhance the consistency and quality of their metadata, to foster discovery, access and understanding of data resources. As part of this collaboration, on February 9, 2016,
We are excited to announce the appointment of Neil Fortner as the new Chief HDF5 Software Architect. Neil has worked for The HDF Group as a software engineer since 2008. While at The HDF Group, he focused his talents in storage and HPC on improving performance, expanding the features, and improving the maintainability of the
Luke Logan has joined The HDF Group as a software engineer and ambassador of the Scalable Computing Systems Lab (SCS).
