The Open Science Grid is a nationally-funded consortium of computing resources at more than one hundred institutional partners that, together, offer a strategic advantage for computing work that can be run as numerous short tasks.

For problems that can be run as many independent jobs, as in the first two columns of the table below, the OSG provides computing capacity that can transform the types of questions that researchers are able to tackle. Importantly, many compute tasks that may appear to not be a good fit can be modified in simple ways to take advantage, and we'd love to discuss options with you!

Learn more and chat with a Research Computing Facilitator by requesting an account here: OSG Connect Sign-Up

Ideal jobs! Still very advantageous Maybe not, but get in touch!
Expected Throughput, per user 1000s concurrent cores 100s concurrent cores let's discuss!
CPU 1 < 8 > 8 (or MPI)
Walltime < 10 hrs* < 20 hrs* > 20 hrs (not a good fit)
RAM < few GB < 40 GB > 40 GB
Input < 500 MB < 10 GB > 10 GB**
Output < 1GB < 10 GB > 10 GB**
Software pre-compiled binaries, containers Most other than -> Licensed software, non-Linux

or checkpointable *per job; you can work with a large dataset on OSG if it can be split into pieces

Some examples of work that has been a good fit for the OSG and benefited from using its resources include:

  • image analysis (including MRI, GIS, etc.)
  • text-based analysis, including DNA read mapping and other bioinformatics
  • parameter sweeps
  • Monte Carlo methods and other model optimization

Learn more and chat with a Research Computing Facilitator by requesting an account here: OSG Connect Sign-Up

 

This page was updated on Mar 18, 2021 at 17:36 from welcome/overview/is-it-for-you.md.