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Submission + - NOAA goes live with new forecasting supercomputers (computerworld.com)

dcblogs writes: The National Oceanic and Atmospheric Administration (NOAA) Thursday switched on two new supercomputers that are expected to improve weather forecasting. The supercomputers are each 213 teraflop systems, running a Linux operating system on Intel processors. The U.S. is paying about $20 million a year to operate the leased systems. The NWS has a new hurricane model, Hurricane Weather Research and Forecasting (HWRF), which is 15% more accurate in day five of a forecast both for forecast track and intensity. That model is now operational and running on the new systems. In nine month, NWS expects to improve the resolution of the system from 27 kilometers to 13 kilometers. The European system, credited with doing a better job at predicting Sandy's path, is at 16 kilometers resolution. In June, the European forecasting agency said it had a deal to buy Cray systems capable of petascale performance.

Comment Re:What about new talent? (Score 1) 1501

I don't know why you've made a blanketed assumption about the OSS community. While I realize that maintaining the linux kernel may be the pinnacle representation of the OSS community, it's far from your only option. I have some colleagues that are active maintainer's of some python libraries and the boorish nature of the linux management style doesn't seem to be a factor among their contributors. If you had a project as pervasive as the linux kernel which you have fostered for a long time and has the expectations that it does, you'd probably hold it pretty close to the chest as well. He has taken on the responsibility of seeing it through, primarily putting him in the driver's seat. If his candor doesn't suit you, the nature of the OSS community is that you have other options. It's his decision if his degree of 'unprofessionalism' happens to be running off young talent.

Comment Details Please (Score 3, Insightful) 92

Where is all the tech stuff? I want to know what systems were swapped out, what was used in place or what was swapped, what the steps were (did they set up unit tests first followed by architecture changes and scalability testing), what new coding practices they employed etcetera. I'll sum up this horn-tootin session: "LinkedIn had to change to grow, and they did".

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