In this paper the authors describe the approach to research, develop, and evaluate prototype middleware tools and architectures. The developed tools can be used by scientists to compose astronomical data analysis pipelines easily. They use the SuperMacho data pipelines as example applications to test the framework. they describe their experience from scheduling and running these analysis pipelines on massive parallel processing machines. they use MCR a Linux cluster machine with 1152 nodes and Luster parallel file system as the hardware test-bed to test and enhance the scalability of the tools
Abstract. We describe Astroinformatics, the new data science paradigm for astronomy research and edu...
There are common features, in both imaging surveys and image processing, between astronomical observ...
We describe the software requirement and design specifications for all-sky panoramic astronomical pi...
Upcoming and future astronomy research facilities will systematically generate terabyte-sized data s...
An efficient exploitation of Distributed Computing Infrastructures (DCIs) is needed to deal with the...
A comprehensive study of the whole petabyte-scale archival data of astronomical observatories has a ...
By 2020, astronomy will be awash with as much as 60 PB of public data. Full scientific exploitation ...
We present status and results of AstroGrid-D, a joint effort of astrophysicists and computer scienti...
The processing of raw data from modern astronomical instruments is often carried out nowadays using ...
Modern astronomical data processing requires complex software pipelines to process ever growing data...
Astronomical photometry is the science of measuring the flux of a celestial object. Since its introd...
We present status and results of AstroGrid-D, a joint effort of astrophysicists and computer scienti...
The applications of computers and data processing to astronomy are discussed. Among the topics cover...
Scientific analyses commonly compose multiple single-process programs into a dataflow. An end-to-end...
Astronomical photometry is the science of measuring the flux of a celestial object. Since its introd...
Abstract. We describe Astroinformatics, the new data science paradigm for astronomy research and edu...
There are common features, in both imaging surveys and image processing, between astronomical observ...
We describe the software requirement and design specifications for all-sky panoramic astronomical pi...
Upcoming and future astronomy research facilities will systematically generate terabyte-sized data s...
An efficient exploitation of Distributed Computing Infrastructures (DCIs) is needed to deal with the...
A comprehensive study of the whole petabyte-scale archival data of astronomical observatories has a ...
By 2020, astronomy will be awash with as much as 60 PB of public data. Full scientific exploitation ...
We present status and results of AstroGrid-D, a joint effort of astrophysicists and computer scienti...
The processing of raw data from modern astronomical instruments is often carried out nowadays using ...
Modern astronomical data processing requires complex software pipelines to process ever growing data...
Astronomical photometry is the science of measuring the flux of a celestial object. Since its introd...
We present status and results of AstroGrid-D, a joint effort of astrophysicists and computer scienti...
The applications of computers and data processing to astronomy are discussed. Among the topics cover...
Scientific analyses commonly compose multiple single-process programs into a dataflow. An end-to-end...
Astronomical photometry is the science of measuring the flux of a celestial object. Since its introd...
Abstract. We describe Astroinformatics, the new data science paradigm for astronomy research and edu...
There are common features, in both imaging surveys and image processing, between astronomical observ...
We describe the software requirement and design specifications for all-sky panoramic astronomical pi...