Research Computing

Visual computing tools are natural components of any computational research enterprise, and become essential as the spatial and temporal resolution and scale of empirical and simulated datasets increases. Visualization codes and applications supported by Princeton's Research Computing team (through OIT, PICSciE, and TIGRESS) run the gamut from libraries linked to codes running on a single researcher's laptop to full-fledged scientific visualization applications running in parallel on national computing resources at supercomputing centers. We also support geospatial computing and analysis with industry-leading GIS, image analysis and remote sensing applications.

The Visualization Laboratory is located in Room 346 of the Peter B. Lewis Science Library, adjacent to the Research Computing staff offices. This facility provides advanced visualization resources, including a high-resolution display wall and support for scientific visualization and geospatial codes and applications on the Linux and Microsoft Windows platforms.

Please email cses@princeton.edu when seeking assistance, as this is monitored by several staff members, and will get questions and requests answered as quickly as possible. Services we provide include:

• consulting with students, faculty and staff to select appropriate software tools
• training/short-course development and delivery
• assistance with geospatial and visualization codes and data formats
• technical support for the visualization lab

Princeton faculty, staff and students can reserve the Vis Lab by contacting Andrea Rubinstein. Although the lab's maximum capacity is 50 persons, collaborative use of the display wall is optimal for smaller groups of about a dozen.

The Vis Lab also has a wiki and subversion repository for campus users (log in with your PU netid) on the VisLab Trac site.