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.
Who is eligible? |
Researchers affiliated with a project at a US-based academic, government, or non-profit institution. |
Is there a cost? |
No, but users must request accounts. |
Contact |
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