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25% of Life Scientists Will Require HPC in 2015 |
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Tuesday, May 19, 2015 |
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Life science research has long been compute-intensive but requirements have largely been satisfied with traditional workstations and simple clusters. That’s changing: “Roughly 25 percent of life scientists, will require HPC capabilities in 2015, few of whom have ever used a command line.”
Said common LS application characteristics today include:
Mostly SMP/threaded apps performance bound by IO and or RAM
Hundreds of apps, codes, and toolkits
1TB-2TB RAM “High Memory” applications (large graphics, genomic assembly)
Lots of Perl/Python/R
MPI is rare (well-written is even rarer)
Few MPI apps actually benefit from expensive low-latency interconnects (chemistry, modeling and structure work is the exception) |
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