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Met Office to build £97m supercomputer
- QuadDamaged 12y agoI misread and was really wondering what the Met Police would do with a GBP 97M supercomputer.
- hkmurakami 12y agoI totally thought this was Met Life Insurance, which would have been mildly plausible. ;)
- justincormack 12y agoEven the Met Office's press release just says it weights as much as 11 double decker buses rather than any actual technical details. I presume they didnt buy it by weight, why dumb everything down.
- justincormack 12y agoAh Cray has some actual details[1]. [1] http://investors.cray.com/phoenix.zhtml?c=98390&p=irol-newsArticle&ID=1982080 http://investors.cray.com/phoenix.zhtml?c=98390&p=irol-newsA...
- quarterto 12y ago100 tons, according to the radio this morning.
- Graham24 12y agoThe double decker bus is a standard unit of measurement for height and weight, for large areas it's Wales.
- gjm11 12y agoTo be fair, that press release does give - quantitative information about the new system's power relative to its predecessor ("13 times more powerful"; I assume they mean something like "13x faster on typical workloads") - quantitative information about its speed in absolute terms ("more than 16,000 trillion calculations per second") - quantitative information about what it will let them do that they couldn't before ("forecast updates every hour", "very high resolution (300m) models", and few particular projects they intend to use it for) - a little more tech-spec information, albeit stupidly presented ("120,000 times more memory than a top-end smartphone", which I presume means either 120TB or 240TB) - how much they're spending - how long they expect it to take to get it set up and working and they do give the weight in tonnes as well as in double-decker buses. I don't really see that there's much of a problem here.
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- tobylane 12y agoTo compare to the top supercomputers, Cray Titan cost around $160m at the end of 2013 and has 17 petaflops. Met Office also use Cray, so it might be that they ordered Titan with a little less flops, a lot less memory.
- qewrffewqwfqew 12y ago> The facility will work 13 times faster than the current system, enabling detailed, UK-wide forecast models with a resolution of 1.5km to be run every single hour, rather than every three. Let's say an order of magnitude speed improvement. :wow: I wonder if it will be able to model the local microclimate effect of powering and cooling 140 tonnes of compute?
- jmngomes 12y agoGlad they now have a faster way to make inaccurate predictions :)
- druml 12y agoComputing power actually matters for the accuracy of weather prediction. Having more computing power would allow them to refine the spatial and temporal resolution of their weather forecast model. http://en.wikipedia.org/wiki/Numerical_weather_prediction#Computation http://en.wikipedia.org/wiki/Numerical_weather_prediction#Co...
- lordnacho 12y agoWhat's a good source for learning how weather models work? I'm interested in understanding how the accuracy changes with the number of calculations available.
- nextw33k 12y agoI would love to see the comparison between running this and just buying cloud compute time. Given its a constant operation which probably requires high speed interconnects. However it would be interesting to see how close in cost cloud is to a bare metal build.
- philjohn 12y agohere's a hint - it's nowhere near close in cost to a bare metal build, at least not in my experience. We run a small clustered database across 8 nodes. Total cost for the hardware was ~ $3000 per node. Cost for a comparable node in EC2 per month? $1500. Even with co-lo costs for power and bandwidth, and buying 10gige switches it's far cheaper for us to host it in house than it is to use EC2.
- JoeAltmaier 12y agoHow about the cost of bricks and mortar? The cost of an administrator? The cost of spares and disaster recovery? Sure the purchase cost looks good, but what about the total cost of ownership?
- lucian1900 12y agoIt's still tiny compared to AWS, which is really expensive. That doesn't mean it's not useful, but it's still tens of times more expensive than using your own hardware.
- JoeAltmaier 12y agoOften total cost of ownership is about the same as the equipment cost. So they start to look comparable actually.
- lucian1900 12y agoThat's not what I've found. Even just renting dedicated physical machines has been significantly cheaper overall.
- Igglyboo 12y ago>The facility will work 13 times faster than the current system, enabling detailed, UK-wide forecast models with a resolution of 1.5km to be run every single hour, rather than every three. Maybe I'm missing something but should a 13x speedup allow it to run in 1/13th the time? Or maybe the "13x" is only for part of the system and they have a bottleneck somewhere else.
- jgrahamc 12y agoSee: http://en.wikipedia.org/wiki/Amdahl's_law http://en.wikipedia.org/wiki/Amdahl's_law
- Igglyboo 12y agoYes but they said 13x speedup not 13x more processors/cores. Probably just a non-technical writeup tbh.
- sp332 12y agoMaybe there's not much point in running it more than once an hour. For example, maybe the forecast is only reported once an hour. Edit: A quote later in the article says "It will allow us to add more precision, more detail, more accuracy". So it's probably increasing the resolution even though the part you quoted sounds like it's not.
- jimmytidey 12y agoLiteral cloud computing...
- bhouston 12y agoIs it worth it to buy supercomputers these days or just rent cloud time? I guess it you need it all the time, this may be the way to go, but couldn't you get a bulk rate from Heitzner or OVH?
- micro_cam 12y agoLast time I did the math owning your own hardware was still significantly cheaper especially if you're an institution that already has some of the infrastructure in place (and covered by overhead costs on grants). And this is weather simulation so stuff like network topology matters and they will be running their models as often as they can. The cloud wins for more elastic work loads and people without IT departments and server rooms.
- saosebastiao 12y agoIf cloud operators provided Fiber Channel networking, they would probably consume most of the flex capacity of those that need supercomputers. One example I know of (for weather simulations no less) has >100 tflops capacity, but their utilization is about 30% because they have little ability to level load for their customers.