A demonstration of iterative parallel array processing in support of telescope image analysis

  • Authors:
  • Matthew Moyers;Emad Soroush;Spencer C. Wallace;Simon Krughoff;Jake Vanderplas;Magdalena Balazinska;Andrew Connolly

  • Affiliations:
  • University of Washington;University of Washington;University of Arizona;University of Washington;University of Washington;University of Washington;University of Washington

  • Venue:
  • Proceedings of the VLDB Endowment
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this demonstration, we present AscotDB, a new tool for the analysis of telescope image data. AscotDB results from the integration of ASCOT, a Web-based tool for the collaborative analysis of telescope images and their metadata, and SciDB, a parallel array processing engine. We demonstrate the novel data exploration supported by this integrated tool on a 1 TB dataset comprising scientifically accurate, simulated telescope images. We also demonstrate novel iterative-processing features that we added to SciDB in order to support this use-case.