This paper describes the design of a grid-enabled version of Montage, an astronomical image mosaic service, suitable for large scale processing of the sky. All the re-projection jobs can be added to a pool of tasks and performed by as many processors as are available, exploiting the parallelization inherent in the Montage architecture. We show how we can describe the Montage application in terms of an abstract workflow so that a planning tool such as Pegasus can derive an executable workflow that can be run in the Grid environment. The execution of the workflow is performed by the workflow manager DAGMan and the associated Condor-G. The grid processing will support tiling of images to a manageable size when the input images can no longer be held in memory. Montage will ultimately run operationally on the Teragrid. We describe science applications of Montage, including its application to science product generation by Spitzer Legacy Program teams and large-scale, all-sky image processing projects.
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G. B. Berriman ; Ewa Deelman ; John C. Good ; Joseph C. Jacob ; Daniel S. Katz, et al.
Montage: a grid-enabled engine for delivering custom science-grade mosaics on demand
", Proc. SPIE 5493, Optimizing Scientific Return for Astronomy through Information Technologies, 221 (September 16, 2004); doi:10.1117/12.550551; http://dx.doi.org/10.1117/12.550551