Sandia Wants To Build Exaflop Computer 144
Dan100 brings us an announcement that Sandia and Oak Ridge National Laboratories are setting their sights on an exaflop supercomputer. Researchers from the two laboratories jointly launched the Institute for Advanced Architectures to facilitate development. One of the problems they hope to solve is how to provide each core of each processor with enough data so that cycles aren't going to waste.
"The idea behind the institute — under consideration for a year and a half prior to its opening — is 'to close critical gaps between theoretical peak performance and actual performance on current supercomputers,' says Sandia project lead Sudip Dosanjh. 'We believe this can be done by developing novel and innovative computer architectures.' The institute is funded in FY08 by congressional mandate at $7.4 million."
To Be used by Which Application? (Score:4, Interesting)
Re:To Be used by Which Application? (Score:4, Interesting)
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Re:To Be used by Which Application? (Score:4, Funny)
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I don't think it is.
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We have one guy who has a security clearance, and he's not allowed to actually take any data out of the lab. He has to go there with a PIECE OF PAPER and write down a handful of numbers on it, and that's all the data we can get out.
It's a nightmare.
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On the down side, his time is extremely expensive and it's being paid by our tax dollars. On the up
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No, it's no military stuff. It's just directed at understanding something usable instead of strict academic masturbation.
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Oh, right -- that thing that makes transistors possible, and thus these here Intertubes, and modern chemistry...
DoD doesn't do research aimed at "applications", if by "application" you mean "something that might make your life better".
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Sandia vs. Oak Ridge (Score:2)
However, Oak Ridge is an unclassified facility doing mostly academic research on climate change, fusion energy, biological systems modeling, geological systems,
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Folding@Home runs about [stanford.edu] a petaflop these days, so they're planning to build the equivalent of about 1,000 Folding@Homes. But Folding@Home is barely making a dent in the number of proteins scientists want to fold. Just this one existing simulation project could probably saturate the proposed exaflop computer.
What if they want to simulate battle field conditions? Surely
AI will not happen soon (Score:5, Insightful)
However, at the moment there are no serious applications that will only become feasible by having more computer power.
More speed in calculation has plenty of benefits, but AI as a research field will not be making major announcements soon because of this new machine.
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There are a lot of uses for extra computing power though, it's not like we've reached a point where we have too much. Protein folding and climate models are the first that come to mind, but I'm sure there are many others. Companies aren't building these things for fun.
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It could also be the case that the wonders of the human brain are not so much a result of clever "design" (no pun intended) as it is of raw processing power and brute force.
Taken to its extreme, it could very well be the case that strong AI, at least to some degree, is a kind
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I've read "How the Mind Works" by Steven Pinker, who is a neuroscientist, and he makes the case that consciousness works using replicating patterns in endlessly repeated parallel trunks of neurons
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Yes, I agree that our ability to emulate the human brain is probably tightly coupled with our understanding of it. However, I'm not sure one must come before the other. I still think AI research merited, in part because it has other applications than achieving huma
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Re:To Be used by Which Application? (Score:5, Informative)
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Ten years ago the largest systems had ~1000 processors, and jobs would usually run on 100-300 nodes. Now they have ~20,000 processors, and jobs tend to typically use 4000 nodes. Presumably an exaflop machine will have ~1,000,000 processor cores, and typical jobs will use 200,000 nodes.
I think this institute is being funded to deal with issues exactly like the problem you present. Checkpoint/restart was a decent solution for a YMP, but it has outlived its usefullness. I imagine there will someday be
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I think Sandia would probably like to run lattice QCD simulations. Those can chew through any amount of hexaflops you can throw at them. Otherwise we have the ever-demanding weather bureau for these elusive 15-day forecasts. It's not difficult to conjure up a problem that would take weeks to run on current hardware. Indeed neural simulations are a possibility, but not the only one.
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(or did you mean exaflops, as in 10^18 FLoating point Operations Per Second?)
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Just in case someone needs a reminder. I get always confused:
10^24 yotta Y 1 000 000 000 000 000 000 000 000
10^21 zetta Z 1 000 000 000 000 000 000 000
10^18 exa E 1 000 000 000 000 000 000
10^15 peta P 1 000 000 000 000 000
10^12 tera T 1 000 000 000 000
10^9 giga G 1 000 000 000
10^6 mega M 1 000 000
10^3 kilo k 1 000
10^2 hecto h 100
10^1 deka da 10
10^0 1
http://en.wikipedia.org/wiki/SI_prefix
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I don't know, but it would be a lottaflop!
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a host of large science/engineering, partial differential equation=based applications
requiring the solution of large systems of matrix equations,... Check out:
http://www.ornl.gov/info/press_releases/get_press_release.cfm?ReleaseNumber=mr20061025-00 [ornl.gov]
Re:To Be used by Which Application? (Score:5, Funny)
Vista, with Aero enabled.
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Re:To Be used by Which Application? (Score:5, Interesting)
Also, a large portion of the computers are available to outside research (besides research done at the Labs).
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True. But fast computers may help quite a bit in developing AI. This simulation [nsi.edu] of 100 billion neurons and a quadrillion synapses took 50 days to process one second of simulation-time. An interesting proof of concept, but not exactly ideal for experimentation; you get 7 tests a year. But increase the CPU power by 1000x, and now it only takes an hour to simulate a second and you get to do a lot
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nten 2.0 (Score:1)
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The thing about supercomputers these days is that they aren't a single node. You don't boot them up and run a "program". Typically, what happens is that you've got a whole bunch of folks who want to run their codes on a distinct set of processor cores, and the more total processing power a supercomputer has, the more individual codes can be run simultaneously. At least, this is how it works on massively-parallel supercomputers like BG/L, Cray XT, etc. The vector-based
That's Easy (Score:2)
Who says the software has to be "smart"? (Score:2)
You don't need a "smart" program to utilize a fast computer - in fact, they are most useful in situations where the smartest people
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These guys casually throw around numbers like "32 million cpu-hours on this machine, 40 million cpu-hours on that machine", and are always needing more power.
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Actually, the plan is to use it to finally get a three-day weather forecast that's more reliable than rolling dice.
When they've got that figured out, they plan to go to work on a five-year climate forecast.
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I don't remember that.
He tried to whack Bin Laden with a bunch of missiles once, but that's pennies compared to the Iraq War.
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Re:To Be used by Which Application? (Score:5, Funny)
And if a Democrat it would be: "Who would Marx tax?"
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The Republicans, OTOH, are happy to borrow trillions of dollars from Japan and China. This is a good idea why, exactly?
We may not be paying high taxes for Bush's military misadventures right now, but we will later, plus interest.
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Many reasons:
1. It ties China and Japan to our economy, such that they cannot afford to let us default; ie. BAILOUT.
2. Who pays? US Workers do, as China and Japan enforce austerity policies on our economy (see Argentina about 5 years back. . . ) - Thus: Already marginalized (politically) US working-class people are now even weaker, as they have less money to spend on donating to political
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SSD SAN? (Score:1)
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If your work tends to be I/O bound... it doesn't belong on an exaflop cluster. You know BlueGene/L? Most of its nodes don't even talk directly to the storage system--they're connected to special I/O nodes which then talk to the storage system.
Scientific computing doesn't really deal with THAT much data. The scientists here at Sandia (yeah I work at Sandia CA) think they are just HUGE data creators. "We generate a PETABYTE per YEAR!" they say... not realizing that a petabyte is a drop in the bucket for the
Trickle Down Supercomputing (Score:1, Redundant)
But since the American people will have bought the new tech for the world, it should be released into the public domain, after maybe 5 years patent licensed to only American corporations (who cannot sublicense it abroad). That's what investments in American tech should be like. Not just subsidies to p
Flow Down? (Score:3, Funny)
OK, here's the truth. I'm just wondering since I need more memory to carrying around the entire internet in my pocket. Right now, I can only fit Ron Paul fanatic postings on my USB stick. They are taking up a lot of room. (Nothing against Ron Paul, mind you.)
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I swear I thought... (Score:3, Funny)
Re:I swear I thought... (Score:4, Funny)
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Interesting Operations Research Problem (Score:1)
This sounds a very interesting OR optimization problem, but I am not sure what are the variables...If a processor is working on a particular piece of a problem and the data required to sol
Have it run SETI@HOME (Score:4, Funny)
I want one (Score:4, Interesting)
Twenty years ago we had a Compaq portable that ran on a 16 mhz 286 at work, and it was HOT. Blazingly fast, could do anything. That is, for its time. The supercomputers then weren't as powerful as your laptop today.
So if I can manage to stay alive for another 20 years, I'll probably have a laptop more powerful than the supercomputer in TFA. I guess I'll just have to wait a while.
-mcgrew [kuro5hin.org] (link is to "Growing Up With Computers", a 2 year old K5 article)
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Not enough money (Score:1, Informative)
FLOP? FLOPS? FLOPS^2? (Score:4, Insightful)
OTOH, it might just be the singularity happening. We wouldn't notice until it was too late.
It will be called... (Score:1)
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http://en.wikipedia.org/wiki/Minor_characters_from_The_Hitchhiker's_Guide_to_the_Galaxy#Deep_Thought [wikipedia.org]
Great... (Score:1, Redundant)
Not Build, only think about it (Score:4, Informative)
Reading the article, the goal is nowhere near building a real exaflop computer, but more about thinking about issues (like processor data feeding).
In a year and a half, we shouln't have more than 100 GFlops per socket, which means that you will still need 10 millions of processors (not cores!) to achieve the exaflop computer. No chance to build a cluster that big (at least these years).
The all-times progression of the top500 [top500.org] shows that exaflop computers should arrive around year 2020, definetly not tomorrow. (x10 every ~4 years, 2008:1 PF, 2012:10 PF, 2016:100 PF, 2020:1 EF)
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Back in the real world I don't know how real the TeraScale chips are. Yield probably is as low as it gets, I wou
Bandwidth is the problem (Score:2)
I bet VISTA will bring it to its KNEES (Score:1, Redundant)
obSlashdot: but will it run linux?
RS
Use double/multi-buffering with DMA (Score:1)
supercomputer = unbalanced computer (Score:2)
misleading slashdot title (Score:2)
They're going to rework some fundamental math libraries to deal with the obvious trend in HPT
Just imagine ... (Score:2)
But does it run Linux? (Score:2)
1. Build exaflop computer.
2. ???
3. Profit!
...laura