NEC SX-9 to be World's Fastest Vector Computer 137
An anonymous reader writes "NEC has announced the NEC SX-9 claiming it to be the fastest vector computer, with single core speeds of up to 102.4 GFLOPS and up to 1.6TFLOPS on a single node incorporating multiple CPUs. The machines can be used in complex large-scale computation, such as climates, aeronautics and space, environmental simulations, fluid dynamics, through the processing of array-handling with a single vector instruction. Yes, it runs a UNIX System V-compatible OS."
What is this, mad mods Friday? (Score:2)
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Oh? (Score:2, Interesting)
Of course, but the true question is...
Does it run Linux.
Cue the redundant replies and grouchy mods.
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Does it run Vista, without being a slow mofo.
Cue redundant linux rants / MS bash
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Re:Oh? (Score:5, Funny)
You are about to list the files in this directory.
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Enter Administrator password:
We're sorry, using MS Bash 4.00 Basic you do not have
the proper privilege level to view system files.
Please purchase MS Bash 4.00 Mega, Ultra, or Extreme.
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reinstall your operating system, choosing "clean install"
during the upgrade process. Thank you for choosing the
rich user experience provided by MS Bash 4.00.
MS Bash must now restart your computer.
Quite possibly. (Score:5, Interesting)
(This would waste some of the compute power, but if the total time saved from not changing the application exceeds the time that could be saved using more of the cycles available, you win. It is this problem of creating illusions of whatever architecture happens to be application-friendly at a given time that has made much of my work in parallel architectures - such as the one produced by Lightfleet - so interesting... and so subject to office politics.)
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]{
Re:Quite possibly. (Score:5, Informative)
For the kind of computation the supercomputer market requests, a 5% improvement in running speed on a supercomputer can worth millions
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Re:Quite possibly. (Score:5, Informative)
That GP who suggests that Xen is used to distribute tasks obviously isn't familiar with the needs of big iron.
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The cell processor has many scalar cores, which can be programmed to behave a little-bit like a vector processor, though they really aren't. Cell processors are not currently used in Blue-Gene
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Re:Quite possibly. (Score:5, Insightful)
To put things in perspective, 99% of PCs in the world CAN run Linux.
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I don't know what you're talking about with Xen and mosix. Neither seem at all applicable to the sort of software run on big-iron machines like this. NEC SX machines run code written for
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No, the real question, vi or emacs? (Score:3, Funny)
Come on, we need to know, what is the default editor, vi or emacs? We need to know.
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VI OF COURSE!
Re:Oh? (Score:5, Funny)
GFLOPS? TFLOPS? (Score:2, Offtopic)
Re:GFLOPS? TFLOPS? (Score:5, Funny)
I'd like to know what it is in Libraries of Congress per Jiffy
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Re:GFLOPS? TFLOPS? (Score:4, Funny)
I dunno: maybe this thing could run faster at higher temperatures in lower gravity?
(/pretending to know what I'm talking about)
Re:GFLOPS? TFLOPS? (Score:4, Funny)
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how high a stack of PS3s (Score:1)
Quote [physorg.com]: "Mueller, an associate professor of computer science, has built a supercomputing cluster capable of both high-performance computing and running the latest in computer gaming. His cluster of eight PS3 machines - the first such academic cluster in the world - packs the power of a small supercomputer, but at a total cost of about $5,000, it costs less than some desktop computers that have only a fraction of the computing power.
...
Mueller estimates that with approximatel
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Re:GFLOPS? TFLOPS? (Score:4, Funny)
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Logical question: (Score:3, Interesting)
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Exactly! Having sex 39 times does not mean you will be able to get a baby in one week. Some operations are by nature sequential -- and while there is scope for some parallelisation, doing so in a highly-distributed fashion can end up increasing latency, because you end up spending more time splitting the data up and putting the results back together than act
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Re:Logical question: (Score:5, Informative)
The only unit I ever got to play with had a 64x32 grid of processors, you could add a row of numbers in log2(n) steps instead on n. It was cool because you could tell each processor to grab a value from the guy next to him (or n steps in a given direction from him) and so on. You could calculate dot products of matrices very quickly.
The distributed stuff you mentioned is mostly farming. Take a big loop of independent steps, break them up and pass them out to a (possibly) heterogeneous collection of processing nodes. Collect the answers when they finish. Render farms work the same way. It's a good way to break up some problems, but it's not what a vector unit does.
Now, I haven't touched this stuff for eleven years so my facts are possibly wrong. I'm sure someone will be along to correct me.
Grid Computing vs. Supercomputers? (Score:3, Insightful)
The entire SETI@HOME [wikipedia.org] project (biggest grid computing project on the net) pumps out 274 teraflops. By comparison, Blue Gene L [wikipedia.org] (first in series) pumps out 360 teraflops, and newer versions will achieve petaflop range, much faster than similar anticipation for grid computing projects.
Sure, you might say, that just like supercomputers evolve, so does grid computing. The probl
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Quite often what you can achieve on a particular problem is much less than what the computer is theoretically capable (say 10%).
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careful now: (Score:2, Funny)
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Here's the experiment I've used to teach the concepts: Take a deck of cards, shuffle it, and time yourself sorting it. Now, have 1 other person help you sort it - it should be about 2 times as fast, maybe a little slower.
Repeat again with increasing number of people until you have 1 card per person. You now have a room full of b
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They are not used for the same type of problems. Some problems are ideal for cluster systems like the ones you have described. Others are are ideal for Vector systems like the SX. They don't compair well at all because they are not used for the same type of problem.
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Distributed computing needs to do a lot of computation on very tiny bits of data. You can pack up the problem set and send it over the internet, then do an hour or two of work on a CPU, and send another internet-sized transfer back. It's very economical, only cares about raw cpu performance, and can't be u
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I can see the ads now (Score:3, Funny)
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The point was originally about the CIS test tho, which performs no virtualization-related security checks so it's irrelevant in that context. Maybe it should, but so long as it doesn't the results would not be affected by running in vmware or any other virtualization technology.
Theo is also arguing that the x86 architecture is flawed, and thus any virtualization technology will be flawed when running on x86. I can't say I disagree here, and it would be interesting to see how a more
I can see tomorrow's headline... (Score:2, Funny)
Does it play vector games? (Score:5, Funny)
I wonder how well it will do with the really cool vector games like Asteroids or BattleZone or Tempest or...
"what's your vector, Victor?"
1.6 Teraflops? (Score:2, Funny)
Why, that's more powerful than a cluster of 60 PS3s! I'll take three!
Re:1.6 Teraflops? (Score:5, Funny)
Impressive ... (Score:2, Funny)
Don't be too proud of this technological marvel you have created for it is nothing compared to the power of the slashdot effect.
SCO!? (Score:3, Funny)
vector machines in the top500 list refuse to die (Score:2, Informative)
Re:vector machines in the top500 list refuse to di (Score:3, Insightful)
Well, I actually doubt it. You could say 'those vector processors are used for matrix calculations and are wildly different from general purpose CPUs' and you'd be right.
However, I could see a point in time where hybrids like the Cell (one scalar processor and eight vector processors) will become so cheap that the number of vector machines will decline even more.
The idea will never die of course, I mean, hardware is so flexible nowadays that a good student could make
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Vector excel at running through essentially loop operations. There's two components to thei
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Realize that most scientific code probably still has lots of code in it written for the original CRAY system it ran on in the 80's, and you see why vector systems will live on for a while: code that was written for one will have to be used on a vector system. One has to have to luck to find a PhD student willing and able to rewrite the code for a new machine.
Worse than that even. I was doing this back in the late 80's/early 90's and we spent a large amount of energy getting the FORTRAN compiler to automatically vectorize "dusty deck" (that would be code that was originally written on PUNCHCARDS) scientific code.
Parallel programming is hard. Vectorized code is kind of like parallel light in that it parallelizes very narrow operations without all that messy locking and message passing.
Oh, there was one thing that the vector excelled at that OS's do a lot of -
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I'd actually suggest that you'll probably see vector processors marginalized or pushed out eventually by stream processors: aka nvidia/ati graphics boards.
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Cell (and many GPUs or future whatever) have the ability to do a LOT of math, but they do it on a ver
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"up to" (Score:5, Insightful)
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So, these are 'core solos'?
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one can only imagine... (Score:1)
Vector graphics (Score:1)
This is unix (Score:2)
I was reading the description of the system, and thinking I would never be able to operate it as I am such a dinosaur until I saw the above line. My response is: "This is Unix, I know this!"
JP reference? (Score:2)
Obligatory karma-whoring first post (Score:1)
Hmm, did I forget any ...
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Link to more information (Score:5, Informative)
There are four PDFs there; the brochure is a four-colour glossy, but there is some real information. Sadly, the interesting-looking white papers are for the SX6, two generations earlier.
SX9 summary: 65nm technology, 3.2GHz clock speed, eight vector elements handled per cycle with two multiply and two add units, which is where the 102.4Gflop/CPU figure comes from. 16 CPUs in a box about the size of a standard 42U rack.
Totally absurdly fast (ten 64-bit words per cycle per CPU) access to a large (options are 512GB or 1TB) shared main memory; absurdly fast (128GB/second) inter-node bandwidth.
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why must every super computing story... (Score:1)
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So instead of using these in a Beowulf cluster we could use them to get a killer (no pun) framerate in Battlefield??
Video and Interview with NEC Project Manager (Score:2, Informative)
Computer (Score:1)
FLOPS are useless (Score:2, Funny)
Unicos and Cray (Score:3, Interesting)
Maybe this NEC machine is different but Unix on a supercomputer is like the cockpit of a Forumula 1 race car; just there to provide a way to steer, comforts be damned.
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super/UX is pretty stripped down, but getting better. Cray Unicos is no longer based on that system-V stuff and is either based on Irix on the X1, or is linux-derived on the XT4. The compute nodes are pretty stripped down, but the loggin nodes are pretty much off the she
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Not For Long (Score:2)
Pretty fast, but IBM will release its Roadrunner [wikipedia.org] at Los Alamos NL next year with 1.6PFLOPS:
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Ro
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Sadly, linpack does play a role in the computers that are purchased. Sometimes the guys making the decision are not the engineers and programmers, who then have to suffer with the consequences. Alas.
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[off camera voice] But that would make you the Antichri[silencedgunshot-THuD!bagtagdragdragdrag]
Damn those abrahamic monotheists!