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 […]
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
David Pearah, The HDF Group Hello again, HDF User Community, As I mentioned in my last blog post — HDF: The Next 30 Years (Part 2) — we’re looking for ways to better engage our users, which includes providing better tools for you to get support from the HDF Community. We are looking for your input on three things:
The HDF Group’s HDF Server has been nominated for Best Use of HPC in the Cloud, and Best HPC Software Product or Technology in HPCWire’s 2016 Readers’ Choice Awards. HDF Server is a Python-based web service that enables full read/write web access to HDF data – it can be used to send and receive HDF5
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
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 offers a language similar to SQL for HDF5. By providing a simpler/cleaner interface, HDFql aims to ease scientific computing and big data management.
… 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.
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
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.
