On 04/14/2013 12:46 PM, James Cuff wrote: > > Finally a well balanced,hype free article by respected industry expert > Jeff Layton: > > http://www.admin-magazine.com/HPC/articles/the_cloud_s_role_in_hpc
Just read it. This is a very good article. "I consider cloud computing a tool or technique for solving research computing problems. Nothing more or less. It's not a panacea, not should it be ignored. Issues that must be addressed include data movement and security, but it also can save you money and make your traditional HPC resources stretch further. " I agree. Very well put. I've been making the argument for a while that what is euphemistically called "Big Data" is an applied version of high performance computing ... not in a traditional sense (e.g. MPI, ultra low latency interconnects, etc.), but focused upon analyzing huge swaths of data, and turning it from "data" with noise into usable actionable intelligence Again, I agree. Coming from a high energy physics background, thats what experimental HPC folks have been doing for many years. Huge datasets, with event parallelism and no real need for massively parallel computation. (indeed remember that the CrayXMP-24 at CERN ended up being used as a hugge disk server!) HPE is a statistical science - unlike thepress release image of a 'eureka' science, where a Higgs Boson is tracked down and found, it is a matter of analysing mountaisn of data, and making sure that the statistical 'cuts' you apply are isolating genuine events above the background The contents of this email are confidential and for the exclusive use of the intended recipient. If you receive this email in error you should not copy it, retransmit it, use it or disclose its contents but should return it to the sender immediately and delete your copy. _______________________________________________ Beowulf mailing list, [email protected] sponsored by Penguin Computing To change your subscription (digest mode or unsubscribe) visit http://www.beowulf.org/mailman/listinfo/beowulf
