Training Discovery

Cyberinfrastructure or eInfrastructures tended to be funded for small projects for a single PI or very large science ventures (CERN LHC, NEON, NASA). What is emerging are medium-scale projects involving several universities and institutions. What architectures and capabilities are or will be needed by such projects and what effect will this have on the overall research computing ecosystem?

The Illinois Campus Cluster Program (ICCP), a high performance computing (HPC) cluster available to investors at the University of Illinois, Urbana-Champaign, now offers a free, all-online training where users learn how to get started.

Join us for a conversation together about how to communicate with researchers!

Sign up for the community at https://researchit.illinois.edu/about/research-support-community 

or email ahovious@illinois.edu to get the Zoom information.

We will teach each day from 4–6 p.m. Central Time.  Registration is open to all current University of Illinois graduate students, postdocs, staff, and other researchers.  This will be especially useful to graduate students, postdocs, and researchers who have not begun to leverage the power of scripting and version control for reproducible research. We especially encourage members of a course or research group to sign up together to reinforce good habits.

Join this seminar to learn about the concept of serverless programming with Amazon Web Services (AWS) through examples in Python. You will discover the range of serverless implementations on AWS, including containers, AWS Lambda functions, and fully managed services. Hear about application development, security, frameworks and libraries, and the deployment of applications in an AWS environment. Examples will illustrate how you can use the power of advanced AWS services, including artificial intelligence and machine learning, in your Python applications.

Could your computational work benefit from the ability to concurrently run hundreds or thousands of independent computations, for free? The Open Science Grid (OSG) facilitates distributed high-throughput computing (dHTC) via a partnership of national labs, universities, and other organizations who contribute and share computing capacity for use by researchers across and beyond the United States. Individual researchers, institutions, or multi-institutional collaborations can access OSG via local submission points or through the OSG Connect service (freely available to U.S. academic, government, and non-profit researchers).  
During this 3-hour tutorial, you'll learn to identify and run large HTC workloads and multi-step workflows via the OSG Connect service. OSG staff can also help you launch your own work!