Overview
The Wavelet-enabled progressive data Access and Storage Protocol (WASP) project is a two-year, NSF funded effort to provide a common software framework for supporting a multi-scale progressive data refinement method based upon the representation of the data as a wavelet expansion, and enabling interactive exploration of large data sets for the bio- and geoscience communities. The University of California, San Diego, Center for Scientific Computation in Imaging (CSCI), in partnership with the National Center for Atmospheric Research (NCAR) is developing an open source toolkit for progressive data access and management of wavelet-encoded data. This effort builds upon the existing, wavelet-based VAPOR Data Collection (VDC); the cornerstone of VAPOR's large data handling capability. The effort is a refactoring of the VDC with an aim toward providing a flexible API, usable not only VAPOR itself, but any analysis tool that struggles with the challenge of interactive exploration of large, structured data sets.
Schedule
The period of performance for the WASP project is Oct 2014 - September 2016. We have completed all year one milestones as planned.