Search results
Results from the WOW.Com Content Network
The Parallel-NetCDF package can read/write only classic and 64-bit offset formats. Parallel-NetCDF cannot read or write the HDF5-based format available with netCDF-4.0. The Parallel-NetCDF package uses different, but similar APIs in Fortran and C. Parallel I/O in the Unidata netCDF library has been supported since release 4.0, for HDF5 data files.
Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.
XDMF (eXtensible Data Model and Format) provides a standard way to access data produced by HPC codes. [1] Data format refers to the raw data to be manipulated, the description of the data is separate from the values themselves.
The Geospatial Data Abstraction Library (GDAL) is a computer software library for reading and writing raster and vector geospatial data formats (e.g. shapefile), and is released under the permissive X/MIT style free software license by the Open Source Geospatial Foundation.
HDF Explorer is a data visualization program that reads the HDF, HDF5 and netCDF data file formats. It runs in the Microsoft Windows operating systems. HDF Explorer was developed by Space Research Software, LLC , headquartered in Urbana - Champaign , Illinois.
Version 6 introduced the use of XMDF (eXtensible Model Data Format), which is a compatible extension of HDF5. The purpose of this Is to allow internal storage and management of data in a single HDF file, rather than using many flat files.
XMDF (eXtensible Model Data Format) is a library providing a standard format for the geometric data storage of river cross-sections, 2D/3D structured and unstructured meshes, geometric paths through space, and associated time data.
The open-source project to build Apache Parquet began as a joint effort between Twitter [3] and Cloudera. [4] Parquet was designed as an improvement on the Trevni columnar storage format created by Doug Cutting, the creator of Hadoop. The first version, Apache Parquet 1.0, was released in July 2013. Since April 27, 2015, Apache Parquet has been ...