Danny Tang reported on the status of initiatives on the research computing roadmap. He reported that the high-performance computing model has been shifted to integrate new technologies and expansions in a shorter amount of time. Research Services is looking to upgrade the HPC scheduler and wants to make sure it integrates well with other tools.
A new data science consultant has been hired and is handling training and Interactive Data Analytics Service (IDAS) support. RS will be evaluating needs for a container registry service and is looking to make service improvements to the new IDAS based on user feedback.
RS will be working with Engineering to evaluate the need for a high-end machine learning platform, and will be implementing additional self-service and automation, specifically in the Research Data Storage Service. A project to purchase and configure a Globus Research Data Management Service (research data collaboration service) is on track, targeting a summer rollout. RS is also engaging the OneIT community about needs and opportunities to better support research.
To create a more diverse research computing and talent pipeline, RS has been hiring and training more students and working with Women in Science and Engineering and the Society of Women Engineers. Administrative Information Systems teams and the Office of the Vice President for Research are teaming up on development of a research profile data mart that will pave the way for business intelligence tools to will help guide the university research portfolio.