The Open Science Grid
By P. Avery. 2005
505 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/9b41e7559902658b5a6a85c2d06bdc8dd3d8806e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
Citations in the corpus
- High-Performance Cloud Computing: A View of Scientific Applications (2009, background): “The Open Science Grid [5], originally conceived for facilitating data analysis for the Large Hadron Collider, actually hosts 25000 machines and provides support for data intensive research for different disciplines such as biology, chemistry, particle physics, and geographic information systems.”
- Swift: A language for distributed parallel scripting (2011, background): “To deal with this situation, OSG Engagement has developed best practices, which are implemented straightforwardly in Swift.”
- The Pilot Way to Grid Resources Using glideinWMS (2009, background): “OSG and EGEE use gLExec[3] for this purpose.”
- Collaboration gets the most out of software (2013, background): “SBGrid also provides the wider structural biology community with access to supercomputing facilities across the US in collaboration with the Open Science Grid (OSG: Pordes et al., 2007) via the SBGrid Science Portal.”
- Pegasus, a workflow management system for science automation (2015, background): “Examples of HPC clusters include campus clusters, and HPC infrastructures such as XSEDE [39] in the U.S. and EGI [40] Whereas the HPC cluster provides a fairly homogenous and centralized infrastructure, distributed computing environments like the Open Science Grid (OSG) [41] provide access to a some”