Academic Divisional Computing
Academic Divisional Computing (ADC) is the group of localized ITS staff embedded in the campus’ five academic divisions.
This ITS unit provides personalized, discipline-specific, IT support for faculty, staff and students in accomplishing the academic mission. Under the direction and oversight of the Divisional Liaisons Council, we leverage commonalities through cross-divisional technical communities to develop and deliver right-sized common services as appropriate.
If you have a question about this unit, please contact ADC Director, Andrea Hesse.
Local IT Staff Support
The Division of Arts recently celebrated the Opening of the Digital Arts Research Center, a facility with deep technology integrations that was designed and brought to fruition with close involvement of the local IT staff who has now added support of this facility to their expanding portfolio. In Humanities, local IT Staff have leveraged centralized service to create the capacity to add support for three research labs in linguistics, in addition to a media and learning lab in languages, and extending web services. The list of current projects by Local IT Staff in Physical and Biological Sciences include Cluster deployments and support (Physics, SCIPP, EPS/OS, Chemistry), expanding and enhancing Thin client research and instruction labs, Consolidating research web sites and provide robust web capabilities, Cluster support and deployment (ROCKS, OSCAR, SunGRID), Cooperative support for research servers, genome, HPC, Chemical Screening Center, installing and maintaining, scientific software both per client and pooled.
Local IT Staff in School of Engineering (SOE) support an infrastructure environment to allow research into newer technologies, including a research network, multiple data centers. As computing environments continue to grow in SOE, local IT Staff are working to develop a realistic expansion plan utilizing the San Diego Supercomputer Center 450 miles away. SOE Staff have further extended services to the larger campus research community by leveraging open source tools and local investments in full tunnel VPN services, server monitoring and the ROCKS cluster. Leveraging partnerships with Core Technologies, the Division of Social Sciences has added Geographical Information Systems software and Shoestring, the division’s “compute server,” supports both econometric and statistical modeling, and other compute-intensive applications.