Learn More
This paper describes the Pegasus framework that can be used to map complex scientific workflows onto distributed resources. Pegasus enables users to represent the workflows at an abstract level without needing to worry about the particulars of the target execution systems. The paper describes general issues in mapping applications and the functionality of(More)
The architecture of Montage, which d e l i v ers custom science-grade astronomical images, was presented at ADASS XII. That architecture has been tested on 2MASS images computed on single processor Linux machines that hold all image data in memory. This year, we describe the design of a grid-enabled version of Montage, suitable for large scale processing of(More)
Montage is a portable software toolkit for constructing custom, science-grade mosaics by composing multiple astronomical images. The mosaics constructed by Montage preserve the astrometry (position) and photometry (intensity) of the sources in the input images. The mosaic to be constructed is specified by the user in terms of a set of parameters, including(More)
– Montage is an Earth Science Technology Office (ESTO) Computational Technologies (CT) Round III Grand Challenge project that will deploy a portable, compute-intensive, custom astronomical image mosaicking service for the National Virtual Observatory (NVO). Although Montage is developing a compute-and data-intensive service for the astronomy community, we(More)
Montage is a portable toolkit for constructing custom, science-grade mosaics by composing multiple astronomical images. The mosaics constructed by Montage preserve the astrometry (position) and photometry (intensity) of the sources in the input images. The mosaic to be constructed is specified by the user in terms of a set of parameters, including dataset(More)
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(More)
We have converted the Palomar 60-inch telescope (P60) from a classical night assistant-operated telescope to a fully robotic facility. The automated system, which has been operational since September 2004, is designed for moderately fast (t 3 minutes) and sustained (R 23 mag) observations of gamma-ray burst afterglows and other transient events. Routine(More)
This paper compares two methods for running an application composed of a set of modules on a grid. The set of modules (collectively called Montage) generates large astronomical image mosaics by composing multiple small images. The workflow that describes a particular run of Montage can be expressed as a directed acyclic graph (DAG), or as a short sequence(More)
This pnper discusses work done by JPL 's Parallel Applications Technologies Group in helping scientists access and visuulize very large data sets through the use of multiple computing resources, such as parallel supercomputers, clusters, and grids These tools do one or more of the jollowing tasks visualize local data sets for local users, visualize local(More)