We are happy to announce the release of HDFql 2.0.0!

This version includes (please check the release notes for further details):

  • 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 (IN2P3, France), and Holger (Fermilab, USA) for their feedback
  • Added wrapper for the Intel Fortran Compiler (ifort) – thanks to Intel for sponsoring HDFql with a free license
  • Improved performance and reduced memory footprint when writing/reading values into/from datasets/attributes from/into memory
  • Added capability to specify the storage allocation when creating a dataset (i.e. early, incremental, or late)
  • Fixed bugs – thanks to Erik (M+P, The Netherlands), Ryan (KMLabs, USA), Michael (U.S. Army Corps of Engineers, USA), Romain (CEA, France), and Petr (University of West Bohemia, Czech Republic) for reporting them
  • Updated reference manual – thanks to Jeff (Redwood Center for Theoretical Neuroscience, USA) for the feedback

For updates on upcoming releases and the latest news about HDFql, we welcome you to connect with us on https://twitter.com/hdfql.