Course description: The course aims to give a general overview of the SPRINT package for performing large-scale statistical analysis in parallel. SPRINT provides an easy access mechanism to high performance computing for the analysis of high throughput post genomic data using the statistical programming language R. The course will cover the basics of the R programming language, then move on to explain how to benefit from the parallel features of SPRINT.Learning outcome: Ability to use the R language in parallel for large-scale statistical analysis; An understanding of which R functions can benefit from parallelisation.Pre-requisites: Programming ability in any high-level language. Understanding of statistics.TimetableDay 1, 29 May 2013
09:30 An introduction to High Performance Computing Concepts
10:30 An introduction to HECToR architecture
11:00 COFFEE
11:30 Running a job on HECToR (An Imaging Processing Example)
12:15 An introduction and overview of the SPRINT project
13:00 LUNCH
14:00 Running a SPRINT job on HECToR
14:30 Description of existing SPRINT functionality
15:15 Doing the SPRINT tutorial on HECToR
15:30 COFFEE
16:00 Doing the SPRINT tutorial on HECToR (continued)
16:30 Installing SPRINT on your own Linux/Mac laptop
17:30 CLOSE Day 2, 30 May 2013
09:30 Completion of SPRINT tutorial on HECToR or own machine and attendees experimenting with SPRINT
10:30 How to Interact with the SPRINT team
11:00 COFFEE
11:30 SPRINT case-study (“Time-shifted correlation patterns in interferon gamma activated macrophages”)
12:30 LUNCH
13:30 Workshop/hands-on session on:
     - Hands-on help with Linux/ OSX laptop installations
     - Sprint team available to discuss new use-cases/functionality, user requests and potential collaborations.
 15:00 CLOSE
 

https://events.prace-ri.eu/event/149/