Presenters:
Edward Moss
Assistant Director for Computing Services
California Center for Population Research
Mike Tzen
Assistant Director for Statistics and Methods Services
California Center for Population Research
Data analysis of large and highly complex datasets is extremely resource intensive, and inadequate computing resources can cause data analysis to slow to a crawl if it’s even able to be performed at all. Remotely accessing a high performance computing platform provides access to analysis resources that likely far exceed those of your personal computer. CCPR currently recommends two options for remote high performance computing
- TS1 – CCPR managed Windows based system including Stata, SAS, and ArcGIS
- Hoffman2 – Institute for Digital Research and Education (IDRE) managed Linux based system including Rstudio, Stata and MATLAB
We will provide background descriptions, access walkthrough, and analysis demonstration for each service.
Before attending the workshop, please make sure you have an account on hoffman2 and CCPR’s TS1. Contact emoss @ ccpr.ucla.edu if you need assistance.