[R-sig-hpc] Reminder: SPRINT & HECToR training course for R users - 1 December 2011 in Oxford

[Muriel Mewissen]

SPRINT training course: user-friendly statistical analysis using HECToR, the
UK's most powerful supercomputer

 

SPRINT (Simple Parallel R INTerface) provides easy access to high
performance computing (HPC) for the analysis of high-throughput,
post-genomic data using the statistical programming language R. The first
ever SPRINT training course will be run at NAG Oxford on December 1st 2011.
The course aims to give a general overview of the hardware, software and
configuration of the HECToR system in the context of using SPRINT.

 

The first full version of the SPRINT framework - SPRINT v1.0.0 - will be
released this month. SPRINT gives R users the parallel tool kit they need to
perform computationally-challenging statistical analyses easily on HPC. It
lifts the limitations on data size and analysis time commonly found in many
disciplines such as bioinformatics, where large volumes of highly parallel,
high throughput post-genomic data are generated. SPRINT is unique in its HPC
platform independence, its focus on complex, hard to parallelise,
data-dependent functions and its user friendliness.

 

SPRINT contains optimised versions of the following R functionality:

pair-wise Pearson's correlation, permutation testing, random forest, rank
product, partitioning around medoids and apply. It is available to use on
HECToR, the UK's national academic supercomputing service, which is hosted
by EPCC.

 

More information, including how to register, is available at:

http://www.hector.ac.uk/cse/training/sprint/

 

Information about costs and eligibility:

http://www.hector.ac.uk/cse/training/eligibility/

 

SPRINT is an open-source project and is open to contributions. All sources
are available from R-Forge: r-forge.r-project.org Packaged releases are
available from CRAN: cran.r-project.or

 

 

SPRINT Project

 

sprint at ed.ac.uk

www.r-sprint.org

 

The University of Edinburgh

 

 

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