Cloud computing—and the ability it gives researchers to quickly add and shut down resources as needed—means that they can do massive number crunching that researchers could not have dreamed of in the past.
That’s probably one reason that Matthew Trunnell will upgrade legacy software at Seattle’s Fred Hutchinson Cancer Research Center to rely more on the cloud, according to the the Wall Street Journal. Trunnell, who is now CIO of the Broad Institute in Cambridge, Mass., will join Hutchinson as CIO in a few months.
Trunnell cited cloud computing as a way to advance “precision medicine” which is the practice of sequencing the genome of tumors and applying big data analytics to improve care.
The real key here is that the advent of huge web-scale computational capability—applying tens of thousands of computer nodes to a problem— brings supercomputer-like power to bear on very tough problems. In the past researchers who needed that sort of heavy-lifting had to sign up for time at one of the nation’s supercomputing centers. And then they waited, for weeks if not months. That’s clearly not optimal in for a specialty that wants to work fast and iteratively on tough problems.
Cycle Computing, which makes software that manages research applications so they can run across clouds, sees a lot of these applications moving to the cloud up close and personal.
“Every day, we witness engineers and scientists benefit from limitless access to compute, thanks to cloud,” said Cycle CEO Jason Stowe. “Steve Litster’s team at Novartis ran 40 years of cancer drug simulation in 8 hours, for thousands of dollars instead of millions. The critical value of cloud [computing] is not saving dollars, it is enabling researchers to do things they couldn’t do before.”
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