Our Commitment to HDF5’s Diverse Community

David Pearah, The HDF Group Hello HDF Community! Thanks for the warm welcome into the HDF family: in my 4+ months as the new CEO, I’ve been blown away by your passion, diversity of interests and applications, and willingness to provide feedback on:  1. why you use HDF5?, and  2. how can HDF5 be improved? I also want to thank […]

HDF5 and The Big Science of Nuclear Stockpile Stewardship

DOE has continued to partner with The HDF Group, supporting development of HDF5 through two generations of computing; sponsoring this development has benefited the entire HDF5 user community. Today, DOE supports current HDF5 R&D to ensure that the data challenges of third generation exascale computing …

HDFql – the new HDF tool that speaks SQL

HDFql offers a language similar to SQL for HDF5. By providing a simpler/cleaner interface, HDFql aims to ease scientific computing and big data management.

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.

The HDF Group is New OCC Member

John Readey, The HDF Group We’re pleased to announce that The HDF Group is now a member of the Open Commons Consortium (formerly Open Cloud Consortium), a not for profit that manages and operates cloud computing and data commons infrastructure to support scientific, medical, health care and environmental research. The HDF Group will be participating

Python & HDF5 – A Vision

Anthony Scopatz, Assistant Professor at the University of South Carolina, HDF guest blogger “Python is great and its ecosystem for scientific computing is world class. HDF5 is amazing and is rightly the gold standard for persistence for scientific data. Many people use HDF5 from Python, and this number is only growing due to pandas’ HDFStore.

The HDF Group’s HPC Program

Quincey Koziol, The HDF Group “A supercomputer is a device for turning compute-bound problems into I/O-bound problems.” – Ken Batcher, Prof. Emeritus, Kent State University. HDF5 began out of a collaboration between the National Center for Supercomputing Applications (NCSA) and the US Department of Energy’s Advanced Simulation and Computing Program (ASC), so high-performance computing (HPC)

Answering biological questions using HDF5 and physics-based simulation data

David Dotson, doctoral student, Center for Biological Physics, Arizona State University; HDF Guest Blogger Recently I had the pleasure of meeting Anthony Scopatz for the first time at SciPy 2015, and we talked shop. I was interested in his opinions on MDSynthesis, a Python package our lab has designed to help manage the complexity of raw and derived

Parallel I/O with HDF5

Mohamad Chaarawi, The HDF Group Second in a series: Parallel HDF5 In my previous blog post, I discussed the need for parallel I/O and a few paradigms for doing parallel I/O from applications. HDF5 is an I/O middleware library that supports (or will support in the near future) most of the I/O paradigms we talked

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