Intro deck on HDFql
Quick overview of HDFql now available as PDF. See how HDFql dramatically simplifies coding vs. current APIs. You are welcome to download and distribute in your organization or network....
HDFql presented at SC19
The HDF Group presented HDFql at SC19: The International Conference for High Performance Computing, Networking, Storage, and Analysis (Denver, Colorado, USA)
HDFql presented at HDF5 European Workshop at ESRF
The HDF Group presented HDFql at ESRF as part of their HDF5 European Workshop for Science and Industry at ESRF, The European Synchrotron Radiation Facility (Grenoble, France)
HDFql 2.1.0 Release
We are happy to announce the release of HDFql 2.1.0! This version includes: - Added support for direct chunk write/read into/from datasets (to greatly increase performance) - thanks to Mark (University of Chicago, USA), Xiaoqiang (Paul Scherrer Institute,...
HDFql presented at ISC19
The HDF Group presented HDFql at ISC19: ISC High Performance 2019 (formerly known as the International Supercomputing Conference) - The event for High Performance Computing, Networking, Storage, Data Analytics and AI/Machine Learning (Frankfurt, Germany)
HDFql 2.0.0 Release – HDF5 made easy and fast
We are happy to announce the release of HDFql 2.0.0! This version includes: - Added support for parallel HDF5 (PHDF5) - thanks to Quincey (Berkeley Lab, USA), Rob (Argonne Lab, USA), Konrad (CNRS, France), Sebastian (Juelich Supercomputing Centre, Germany), Guy...
Intel enables HDFql users with Fortran license
We are happy to announce that Intel has provided HDFql and our user base with a licensed version of "Intel Parallel Studio Professional Edition". This means scientists & supercomputers can soon process huge datasets much faster (for free!). Stay tuned for an HDFql...
HDFql 1.5.0 Release
We are pleased to announce the release of HDFql 1.5.0. This version includes: Support of R Point selections Irregular hyperslab selections Updated reference manual (Please check the release notes for further details) If you are using HDFql, we would love to hear from...
HDFql 1.4.0 Release
We are happy to announce the release of HDFql 1.4.0. HDFql now supports not only C, C++, Java, Python and C#, but also Fortran. In addition to this, we have resumed the availability of distribution packages for Mac OS X. This version includes: Support of Fortran...
HDFql 1.3.0 Release
We are pleased to announce the release of HDFql 1.3.0. With this, HDFql brings support of opaque datatypes, which (among other benefits) allow abstraction from data details. This version includes: Support of opaque datatypes Features to show objects by their creation...