Open Science Grid

The Open Science Grid (OSG) consortium builds and operates a set of pools of shared computing and data capacity for distributed high throughput computing (dHTC). One of these is the Open Science Pool (OSPool), an OSG-operated virtual cluster that aggregates mostly opportunistic computing resources from contributing clusters at campuses and other organizations.

Computing problems that are generally well-served by adopting a high throughput approach, and to which the OSPool is well-suited, cross a range of disciplines and can include:

• image analysis (including MRI, GIS, etc.)
• text-based analysis, including DNA read mapping and other bioinformatics
• parameter sweeps
• model optimization approaches, including Monte Carlo methods
• machine learning and AI executed with multiple independent training tasks, different parameters, and/or data subsets

More information about OSPool-suitable jobs can be found here.