OSG User School 2017 : Curriculum and Syllabus¶

Curriculum Goals¶

At a high level, the goal of the School is to help students learn to:

1. Describe the basic elements and architecture of a distributed computing system
2. Use basic distributed computing tools to run jobs and manage data
3. Select reasonable tools and methods to solve scientific computing problems using distributed computing
4. Outline the role of distributed computing, its history, current state and issues, and hopes for the future
5. Identify resources for support, further study, and development opportunities in distributed computing

Syllabus¶

The high-level syllabus for 2017 is below; a more detailed schedule will be published later as we get closer to the school.

	Morning	Afternoon
Monday	Welcome Introduction to high-throughput computing Running jobs locally with Condor	Introduction to high-throughput workflows Running workflows locally with Condor
Tuesday	Introduction to grid computing and overlays Basic troubleshooting	Introduction to OSG Running jobs using OSG glideins Running on real resources OSG architecture
Wednesday	Dealing with real software (Especially R and MATLAB, but others as well)	Free choice: • More details about how overlays systems work • Get one-on-one help with your computing work • Take a break and visit Madison
Thursday	Introduction to distributed storage Using remote storage systems	Managing large, distributed data Introduction to grid security for end users
Friday	Turning scientific computing needs into HTC jobs Estimating resource needs, decomposing and running large jobs Strategies and technologies for handling large workflows	Principles of high-throughput computing Scientific computing showcase Where to go and what to do next — resources, funding, etc.