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SUMMARY:SPRINT: A Parallel Framework for R - Speaker to be confirmed
DTSTART:20130426T130000Z
DTEND:20130426T140000Z
UID:TALK44886@talks.cam.ac.uk
CONTACT:Nicholas Shannon
DESCRIPTION:SPRINT provides easy access to high performance computing for 
 the analysis of high throughput post genomic data using the statistical pr
 ogramming language R.\n\nMicroarray analysis allows the simultaneous measu
 rement of thousands to millions of genes or sequences across tens to thous
 ands of different samples. The analysis of the resulting data tests the li
 mits of existing bioinformatics computing infrastructure. A solution to th
 is issue is to use High Performance Computing (HPC) systems\, which contai
 n many processors and more memory than desktop computer systems.\n\nWe hav
 e designed and built a framework that allows the addition of parallelised 
 functions to R to enable the easy exploitation of HPC systems. The Simple 
 Parallel R INTerface (SPRINT) is a wrapper around such parallelised functi
 ons. Their use requires very little modification to existing sequential R 
 scripts and no expertise in parallel computing.\n\nSPRINT allows the biost
 atistician to concentrate on the research problems rather than the computa
 tion\, while still allowing exploitation of HPC systems. It is easy to use
  and with further development will become more useful as more functions ar
 e added to the framework.
LOCATION:215
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