(First draft of content from RC core day slide)
Revision as of 14:01, 20 October 2011
Research Software and Web-Services: Access popular tools for molecular modeling, protein docking, or neuro-imaging to name just a few of the many applications available on our research computing platform. Use MATLAB and the Distributed Computing ServerTM package to build your own applications and run in a High Performance Computing (HPC) environment. Access wiki, code tracking, and communication tools to collaborate with peers and support your users. Work with us to build and deploy custom solutions to support research workflows for your science teams, like Galaxy a web-based genomics toolkit or ACE a patient cohort search tool.
Data Analysis and Modeling: Use the campus HPC cluster, Cheaha, to efficiently analyze large data sets, model experimental systems and offload compute-intensive work from your laptop. Access national compute and data facilities via the Open Science Grid and NSF’s XSEDE initiative.
Data Storage – use the 200TB high-speed, parallel file system to stage large data sets on the compute cluster for analysis. Access personal storage on the research storage system to leverage an expanding collection of data services for archiving, collaboration and research application development. http://dev.uabgrid.uab.edu/wiki/DataStorage
Data Movement: a 10 Gigabit per second research network connecting data analysis and storage resources across UAB. Transparent connectivity to regional and national high-speed networks provide efficient data transfers to collaborators and peers via National Lambda Rail and Internet2 networks. Build custom data networks to meet specific needs of on-campus or national research initiatives.