SPRINT: Parallel computing with R on HECToR: HECToR Training Course presented at NAG, Oxford, 1st Dec 2011

Michal Piotrowski, Muriel Mewissen, Terence Sloan, Thorsten Forster, Lawrence Mitchell, Peter Ghazal

Research output: Other contribution

Abstract

Description: The course aims to give a general overview of the hardware, software and configuration of the HECToR systems in the context of using SPRINT. SPRINT provides an easy access to high performance computing for the analysis of high throughput post genomic data using the statistical programming language R.

SPRINT is available on HECToR and contains optimised versions of the following R functionality: pair-wise Pearson's correlation, permutation testing, random forest, rank product, partitioning around medoids and apply.

The course will also cover the key features of the Cray XE6, including the various compilers, tools and libraries that comprise the programming environment, as well as the specific configuration of the queues and file systems for HECToR users. We also give details of how users can obtain help when working on the systems, including documentation, the helpdesk and training.
Original languageEnglish
TypeSPRINT Training Course
Media of outputPresentations/Practicals
Publication statusPublished - 1 Dec 2011

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