HDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids.
Apr 24 2019 - 1:00pm to 2:30pm
Apr 26 2019 - 1:00pm to 2:30pm
Apr 30 2019 - 1:00pm to 3:00pm
May 1 2019 - 10:30am to 12:00pm
COLUMBUS, Ohio - Apr 19: Researchers gather at Ohio Supercomputer Center for spring SUG conference
Columbus, Ohio - Feb 27: NSF funds second round for OSC’s Open OnDemand