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Interactive Data Language (IDL) Support of HDF - Extensive Libraries & Data Processing

Learn about IDL, its interactive visualization and robust data processing capabilities. Explore the history and background, HDF support, HDF libraries, and HDF5 enhancements in IDL 6.3. Discover other features like Opaque Data Support, Variable Length Data Support, and more. For more information, visit http://www.RSInc.com/IDL or contact Tad Scheiblich at (303) 786-9900.

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Interactive Data Language (IDL) Support of HDF - Extensive Libraries & Data Processing

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  1. IDL Support of HDF Tad Scheiblich RSI December 2, 2005

  2. What is IDL? Interactive Data Language • Extensive Cross-Platform Libraries: • Interactive Visualization • Data Processing • Scientific File Formats • GUI Development

  3. History & Background • 28 year history with NCAR & NASA • Extensively used at NOAA • Based in Boulder, CO • Offices Worldwide • Currently on version 6.2

  4. History with HDF • HDF Support Introduced in IDL 4.0 • HDF5 Support Added in IDL 5.6

  5. The HDF Libraries • Thin-Wrappers to Native C Libraries • HDF5 1.6.3 • HDF 4.1r5 ; create HDF5 file file = 'hdf5_out.h5' fid = H5F_CREATE(file) ; create some data data = hanning(100,200) ; create a datatype datatype_id = H5T_IDL_CREATE(data) ; create a dataspace, allow the dataspace to be extendable dataspace_id = $ H5S_CREATE_SIMPLE([100,100],max_dimensions=[200,200]) ; create the dataset dataset_id = $ H5D_CREATE(fid,'Hanning',datatype_id,dataspace_id, $ chunk_dimensions=[20,20]) ; extend the size of the dataset to fit the data H5D_EXTEND,dataset_id,size(data,/dimensions) ; write the data to the dataset H5D_WRITE,dataset_id,data

  6. Why IDL? • Interpreted language – easier to use • Interactive • Still very performant • Incredible visualization capabilities • Vast data processing library

  7. HDF5 Enhancements in IDL 6.3 • Opaque Data Support • Variable Length Data Support • Enumerated Data Support • Compound Data Support

  8. Other Features of Interest • Virtual Machine • iTools Interactive Data Analysis • netCDF Support • Cluster Computing API • MPI • Task-Farming • Connectivity Bridges • C/C++, Fortran(Dynamically LinkedModules) • Java • COM/ActiveX

  9. For More Information http://www.RSInc.com/IDL (303) 786-9900 Thank You! -Tad Scheiblich

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