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
On October 2, Gerd Heber presented a webinar, HDF5 Application Tuning: There is more than one way to skin a cat(fish), part 1. This post contains the supporting material for that webinar.
Register for the webinar There is more than one way to skin a cat(fish), Part 1, presented by Gerd Heber and held on October 2, 2020, at 11:00 CDT.
On Friday, July 31, The HDF Group employee Chen Wang presented a Study of HACC-IO Benchmarks. We wanted to share these presentations with our community. Slide Deck Additionally, Chen Wang also wrote the white paper, An I/O Study of ECP Applications.
On June 26, 2020, The HDF Group employee, Scot Breitenfeld presented a webinar called “Parallel I/O with HDF5 and Performance Tuning Techniques.”
The HDF Group (HDF®), the maintainers and creators of the open source HDF5 library and file format, has joined the COVID-19 High Performance Computing (HPC) Consortium as an affiliate to provide expertise that can enhance and accelerate COVID-19 research.
The Open Geospatial Consortium (OGC) membership has approved the Hierarchical Data Format Version 5 (HDF5) Core as an official OGC Standard. HDF5 provides a flexible, extensible, and efficient data model, programming interface, and storage model for keeping and managing spatial data.
Scheduled for June 26, 2020 11:00 a.m. CDT, this webinar, presented by Scot Breitenfeld is designed for users who have had exposure to HDF5 and MPI I/O and would like to learn about doing parallel I/O with the HDF5 library.
