Champaign, IL—Scot Breitenfeld, a 10-year employee of The HDF Group has been named co-chair of the CFD General Notation System (CGNS) Steering Committee. The CGNS provides a portable and extensible standard for the storage and retrieval of computational fluid dynamics (CFD) analysis data. The CGNS Steering Committee is responsible for the development, evolution, support, and […]
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.
Thanks to those who attended our July 31, 2019 webinar, “Moving HDF5 Applications from One Major Release to Another.” As promised, here are the associated resources we’re sharing with the community.
In this webinar scheduled for July 31, 2019, we will talk about the HDF5 release schedule, the differences between HDF5 maintenance and major releases, and we will provide guidance on migrating applications from one release to another.
The HDF5 1.10.5 release is now available for download. Read on for more information on changes in this new HDF5 version.
With MyIRE and HDF, everyone from a doctor in a small-town office to big data genetics researchers can work together to find new and powerful insights across data sets using a common set of tools – and do so in a repeatable way. And, because of HDF5, any user—whether large or small—is powered by the same technology used by CERN and NASA. We knew we wanted all of MyIRE’s users to have the power of NASA in their pocket. HDF5 made that possible.
Reproducibility in computing has important impacts in data sets of all shapes and sizes. HDF provides high throughput interfaces to data sets in a reproducible way. Using HDF allows MyIRE users to analyze data across experiments and domains. Methods, techniques, and case studies for using and increasing access to HDF will be presented. Please join
Question and answers from the HDF5 C++ Webinar on January 24th, 2019. Read the followup questions and answers from presentations on H5CPP from Steven Varga, h5cpp Wrapper from Martin Shetty and Eugen Wintersberger and Ntuple: Tabular Data in HDF5 with C++ from Chris Green and Marc Paterno.
Join The HDF Group for a webinar consisting of three short presentations from the HDF5 community to learn about different approaches and exciting work being done by the HDF5 C++ community members. Steven Varga, Martin Shetty and Eugen Wintersberger, and Marc Paterno and Chris Green will share their vision for and experiences using HDF5 with C++.
