Barry, *fortunes* are very auspicious but you are already well represented.
Cheers, Mike. On Thu, May 10, 2012 at 1:38 AM, Whit Armstrong <armstrong.w...@gmail.com> wrote: > I don't work for Amazon, but here is one of their promo pieces on > using 'spot' instances: > http://youtu.be/WD9N73F3Fao > > at about 2:15, they cite University of Melbourne and Universitat de > Barcelona as customers... > > My interest in all this cloud talk is that I'll be presenting a > tutorial on R in the cloud at R/Finance. > http://www.rinfinance.com/agenda/ > > It's really easy to use R in the cloud, even if you don't want to move > your data into s3. > > -Whit > > > > On Wed, May 9, 2012 at 9:36 AM, Barry Rowlingson > <b.rowling...@lancaster.ac.uk> wrote: >> On Wed, May 9, 2012 at 2:22 PM, John Laing <john.la...@gmail.com> wrote: >>> For 200,000 analyses at 1.5 seconds each, you're looking at ~83 hours >>> of computing time. You can buy time from Amazon at roughly $0.08 / >>> core / hour, so it would cost about $7 to run your analyses in the >>> cloud. Assuming complete parallelization you could fire up as many >>> machines as you need to get the work done in as little time as you >>> want, with the same fixed cost. I think that's a pretty compelling >>> argument, compared to the hassles of buying and maintaining hardware, >>> power supply, air conditioning, etc. >> >> Noticing Hugh's .ac.uk email address you do have to factor in the >> hassle of getting something as nebulous as cloud computing past the >> red tape. "How much will it cost?" says the bureaucrat. "Depends how >> much CPU time I need", says the academic. "So potentially, what's the >> most?" says the bureaucrat. "Millions,", says the academic, honestly, >> adding "but that would only be if my job scheduling went a bit mad and >> grabbed a few thousand Amazon cores and thrashed them for weeks >> without me noticing". "Okay", says the bureaucrat, "now, can we send >> Amazon a purchase order so that Amazon send us an invoice for this >> unknown and potentially unpredictable cost first?". "Oh no", says the >> academic, "we need a credit card...". >> >> Maybe there are other ways of paying for Amazon cloud CPUs, I've not >> investigated. Anyone in academia happily crunching on EC2? >> >> Barry >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Michael Sumner Institute for Marine and Antarctic Studies, University of Tasmania Hobart, Australia e-mail: mdsum...@gmail.com ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
