On January 19, 2021 The HDF Group participated in the NCSA’s Webinar series, The University of Illinois New Frontiers Initiative Webinar Series with sessions presented by Gerd Heber, John Readey, and Aleksander Jelenak. HDF Technologies and Resources for Geospatial Data Abstract: The HDF Group created HDF at NCSA in 1988 to enable scientists and engineers to […]
On February 12, 2021, we were pleased to host Lucas Villa Real of IBM Research to discuss his project HDF5-UDF, a data virtualization tool for HDF5. The tool enables users to associate logic in source code form (i.e., in user-defined functions, written in Python, C/C++, or Lua) with HDF5 datasets. Such UDFs are compiled into a binary
The HDF Group’s Gerd Heber hosts a weekly session where he tries to answer attendee questions and, for example, go over the previous week’s HDF Forum posts. The HDF Clinics are free sessions intended to help users tackle real-world HDF problems from a common cold to severe headaches and offer relief where that’s possible. As
The HDF5 1.8.22 release is now available, and can be accessed from the Support Portal.
HDFView version 3.1.2 is now available from the HDFView Download page at https://www.hdfgroup.org/downloads/hdfview/
The HDF Group’s technical mission is to provide rapid, easy and permanent access to complex data. FishEye’s vision is “Synthesizing the world’s real-time data”. This white paper is intended for embedded system users, software engineers, integrators, and testers that use or want to use HDF5 to access, collect, use and analyze machine data. FishEye has developed an innovative process that provides the most efficient method to expose data from embedded systems that simplifies and liberates data for real-time analysis, machine learning, and cloud-enabled services.
The videos and slide decks for presentations from the 2020 HDF Users Group are available from the Agenda of that event.
A recording, the slide deck, and chat transcript are now posted for this webinar which was held on November 13, 2020 and presented by Quincey Koziol.
HSDS (Highly Scalable Data Service) is a REST-based service for reading and writing HDF data. Initially developed as a NASA Access 2015 project, the HDF Group has continued to invest in the project, and as we’ll see, the latest version has a bevy of new and interesting features.
We are pleased to post this white paper from The HDF Group intern, Chen Wang. This paper looks at the steps of analyzing and tuning the HACC-IO benchmarks, the impact of different access patterns, stripe settings and HDF5 metadata. It also compares the five benchmarks on two different parallel file systems, Lustre and GPFS and
