Should HDF be HIF?
HDF adds structure, context, and organization to the data to create information that can be shared…
The HDF5 “Value Proposition” for the Fusion Data Lifecycle
When storing data, the rich, portable metadata capabilities, including directed graph structures (e.g., hierarchies), complex attributes, and inter-object references make HDF5 a superior choice for maintaining the bond between data and metadata at the lowest level. Community involvement is an essential part of the HDF Group’s mission: It is vital to sustaining the business and is our brain trust when making decisions about changes to HDF5, setting priorities, and adding new features.
Worried about your unlimited data plan bills? Cut them with OPeNDAP
Large, rich and complex collections of HDF data can be filtered and viewed with the help of OPeNDAP. HDF data can be provided in manageable servings, on demand in real time, inexpensively, even on the user’s desktop or mobile device.
HDF5 and .NET: One step back, two steps forward
… enables the creation of new APIs, be it a more specific one or a new higher level API. All this is achieved in a maintainable, .NET-conformant manner, while enabling .NET developers to be creative and efficient with HDF5.
Get your Bearings with HDF Compass
John Readey, The HDF Group We’ve recently announced a new viewer application for HDF5 files: HDF Compass. In this blog post we’ll explore the motivations for providing this tool, review its features, and speculate a bit about future direction for Compass. HDF Compass is a desktop viewer application for HDF5 and other file formats.
Interoperable Information
Ted Habermann, The HDF Group “A strong foundation is being built for sharing data and information to create community knowledge and wisdom. This foundation includes HDF5 as the data layer with community conventions and ISO metadata facilitating use and understanding.” We have experienced so many monumental technological shifts during the last several decades that, like
HDF5 Data Compression Demystified #2: Performance Tuning
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.
HDF5 Implementation in Mathematica
Scot Martin, Harvard University, HDF Guest Blogger HDF5 storage is really interesting. To me, its format has no fixed structure, but instead is based on introspection and discovery. Seems great to me; Mathematica has its origins first in artificial intelligence, so we ought to be able to do something here. Approaching twenty-two years with Mathematica
HDF5 under the SOFA – A 3D audio case in HDF5 on embedded and mobile devices
Christian Hoene, Symonics GmbH; and Piotr Majdak, Acoustics Research Institute; HDF Guest Bloggers Spatial audio – 3D sound. Back in the ‘70’s, “dummy head” microphones were used to create spatial audio recordings. With headphones, one was able to listen to those recordings and marvel at the impressive spatial distribution of sounds – just like in
Multiple Independent File (MIF, aka N:M) Parallel I/O With HDF5
Mark Miller, Lawrence Livermore National Laboratory, Guest Blogger The HDF5 library has supported the I/O requirements of HPC codes at Lawrence Livermore National Labs (LLNL) since the late 90’s. In particular, HDF5 used in the Multiple Independent File (MIF) parallel I/O paradigm has supported LLNL code’s scalable I/O requirements and has recently been gainfully used