A variety of powerful computing resources are available at the Center for Geospatial Analytics and College of Natural Resources to help you perform your geospatial and big-data research. Do you know how to access them all, use them, and choose between them to suit your needs? At this special Geospatial Studio, CGA researchers and CNR IT experts will cover the computational and storage resources available to you at the center and college and introduce best practices for use. Topics will include individual lab workstations, virtual computing labs (VCLs), advanced workstations, high-performance computing (HPC) resources, and virtual servers. We invite students, faculty, and other researchers to join us, as we expand our community of HPC users and developers sharing big data, models, and computational resources.

Note that the Studio will begin at 3:00pm, rather than at the usual 3:30 start time.