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Time For A Cray Comeback?

Boone^ writes "The New York Times has an article (free reg. req.) talking about Cray Inc.'s recent resurgence in the realm of supercomputing. It discusses a bit of Cray's decline when the Cold War ended, "the occupation" under SGI, and the rebirth of the company after the Tera (now Cray Inc.) purchase. Recently Cray Inc. has been shipping their vector-based Cray X1 machine, designing ASCI Red Storm, and recently was one of 3 (also Sun, IBM) to win a large DARPA contract (PDF link) to design and develop a PetaFlops machine by 2010. Could Cray Inc. be poised for a comeback? Wall Street seems to think so."

34 of 266 comments (clear)

  1. Registration not required by Anonymous Coward · · Score: 5, Informative

    Partner Link

    Posting as Anonymous Coward, please award my Karma to starving children in the world.

  2. Ha! Wall Street has more confidence in SCO by Anonymous Coward · · Score: 4, Interesting
  3. Petaflops by 2010? by Pope+Raymond+Lama · · Score: 5, Funny

    Of course I expect that...in my Playstation IV,
    equipped with an opto-quantic Emotion Engine VI
    and a couple petabytes of holographic storage.

    --
    -><- no .sig is good sig.
  4. Definately by Anonymous Coward · · Score: 4, Informative

    There are still MANY applications for supercomputers. A lot of people think that linux/beo-clusters are going to be replacing supercomputers of the Cray/NEC/IBM variant. Not true. There are still many research, scientific, and military applications that require machines developed not for "slow" distributed number crunching, but require ultra high speed processor and memory architechtures.

    So definately, time for Cray to come back and retake the supercomputer industry crown.

  5. 2010? by stratjakt · · Score: 5, Funny

    There's a whole bunch of PETAFlops outside of McDonalds right now having a sit in and screaming about how fur is murder.

    I had to literally step on their faces to get a Big Mac.

    --
    I don't need no instructions to know how to rock!!!!
  6. Correct me if I'm wrong ... by SuperDuG · · Score: 5, Insightful
    ... but wouldn't the fact the market for supercomputers isn't exactly that large. I mean you've got governmental contracts (research, educational, who knows what) that have to take up 95% of all the purchases made, and then a small private market. I mean how many companies are striving for a petaflop machine to run their database server?

    If you look at the list of top 100 supercomputers, there are systems that are almost 15 years old or even older (not sure on a few). I know these take years to build and are multibillion dollar projects, but between time has got to be a killer.

    Then there's the question of ... what do you need a supercomputer for? The applications are pretty limited for a need for a petaflop computer, unless your doing mass storage, cryptography (cracking), or simulations.

    Don't get me wrong I'm all about nuclear testing being done in 1's and 0's instead of in the ocean or in the desert, but how big of a bomb do you really need when it's estimated theres enough nukes to blast the entire land surface of the earth 3 times over.

    --
    Ignore the "p2p is theft" trolls, they're just uninformed
    1. Re:Correct me if I'm wrong ... by MxTxL · · Score: 4, Insightful

      Then there's the question of ... what do you need a supercomputer for?

      To advance the state of the art. And not just in the field of computers, but also in any field that ends up benefitting from this. Which is potentially very many. Aerospace, geology, meterology... there are BUNCHES of fields that greatly benefit having more and more massively powerful computers. Sure, most projects can't afford to have the latest and greatest of the state of the art in supercomputing, but the fact that the state of the art progresses will push prices down on the older technologies that most labs CAN afford. This is a benefit for science as a whole.

    2. Re:Correct me if I'm wrong ... by anzha · · Score: 4, Interesting

      There are other uses too. Consider: the weather guys that are working on the global warming and other climate modeling want a 500 petaflop sustained speed, massive memory machine to get the granularity that they want.

      BTW, what's the 15 YO machine? I can't think of any...certainly not ones that are still in the Top 500. Hell, the ones I worked on 10 years ago, you can nearly buy the floppage on the desktop now...

      As an interesting aside, the DARPA contract is out in part because they think the traditional drivers in computing speed are going to peter out around 2010...the implications of that are definitely interesting, no?

      --
      Do you know why the road less traveled by is littered with the bones of the unwary?
    3. Re:Correct me if I'm wrong ... by agurkan · · Score: 4, Interesting

      Nuclear simulations are used to see if the warheads are still effective after not being used for long times, not to see if they'll wipe out a city right after they are produced.

      --
      ato
    4. Re:Correct me if I'm wrong ... by Doesn't_Comment_Code · · Score: 5, Funny

      Then there's the question of ... what do you need a supercomputer for? The applications are pretty limited for a need for a petaflop computer, unless your doing mass storage, cryptography (cracking), or simulations.


      You're missing the big picture...

      Massive multiplayer Quake on a 614,400 x 819,200 screen.

      Thank you Cray.

      --

      Slashdot Syndrome: the sudden, extreme urge to correct someone in order to validate one's self.
    5. Re:Correct me if I'm wrong ... by Pharmboy · · Score: 4, Interesting

      Don't get me wrong I'm all about nuclear testing being done in 1's and 0's instead of in the ocean or in the desert, but how big of a bomb do you really need when it's estimated theres enough nukes to blast the entire land surface of the earth 3 times over.

      Well, the earth is over 2/3rds covered with water, and now we have the technology to reach the moon, mars, venus and beyond. Remember the spectical when a comet hit Jupiter? Just imagine a Beowulf of those, but really big nukes instead :D

      On a more serious and less morbid note, I bet some other uses exist in physics, medicine and even cosmology. I even hear where they compare 'potential' cures for diseases using computer modeling to design drugs that we don't yet know how to make, good old biotech. You are correct that yes, this IS a very very limited market, but when you sell them for a billion bucks each, you don't need to match Dell's volume to make a profit. I wouldn't be suprised if the technology leads to some advancements in our pitiful micro world as well.

      --
      Tequila: It's not just for breakfast anymore!
    6. Re:Correct me if I'm wrong ... by morcheeba · · Score: 5, Informative
      Yep, you are a bit wrong... (you didn't think a challenge to the slashdot community would go unnoticed?!)

      From this site, you can see the breakdown by organization:
      Usage..... Count Share Rmax Rpeak Procs
      Industry... 202 40.4 % 82398 182964 62869
      Research... 131 26.2 % 187689 278030 120046
      Academic... 115 23 % 77143 133564 45216
      Classified.. 27 5.4 % 14167 20691 12892
      Vendor...... 22 4.4 % 11033 15545 5230
      Government... 3 0.6 % 1317 2256 528
      Total...... 500 100 % 373749 633052 246781
      There are a lot of companies that use supercomputers, although maybe not the type you're thinking of. Of course, there are the number-crunchers: oil companies are big users (to crunch data & find new oil), and car companies (BMW). But there are also the transaction-processors, like SprintPCS and Ebay (used to be in the top 500), that make the list just by the sheer number of connected processors.

      Here's the latest list
  7. Re:explain by Doesn't_Comment_Code · · Score: 5, Informative

    Well, a well engineered supercomputer has much less overhead than a cluster. One superfast processor doesn't have to deal with interprocessor communcations like a cluster does.

    And if your supercomputer has multiple processors, they are generally made to cooperate nicely to speed efficiency. Whereas a cluster has to go through ethernet and hardware layers to communicate between nodes. Granted that is fast, but on-board communication is faster.

    It seems strange, but a multiple processor computer can actually perform a task slower than just one processor working on the problem if the program and os aren't designed well. So a lot of the value of a supercomputer comes in its design, and the reputation of the manufacturer. And Cray is pretty reliable in my book.


    But the REAL key to the potential comeback of the Cray computer will be whether or not it still has cool bubbles! Wow!!! Cray computing... the inventor of case mods.


    --

    Slashdot Syndrome: the sudden, extreme urge to correct someone in order to validate one's self.
  8. Re:Definitely coming back by Frymaster · · Score: 4, Funny
    waitaminnit. cray - the computer of the defense industry during the colde war - is releasing a machine called the "red storm"?

    is there a secret message here? should tom ridge be called?

  9. Re:explain by Anonymous Coward · · Score: 5, Funny

    can someone explain to me what the benefit of a moving van is compared to buying a fleet of pintos?

  10. Re:explain by anzha · · Score: 5, Informative

    Memory to processor feeding: std ots processors are often idle because the memory subsystem cannot feed the processor fast enough. This is bad now. It will be getting a lot worse.

    Interconnections between processors: this goes beyond merely processors on a board, but between boxes. The bus architectures out there for the std ots hardware get saturated very quickly. This gets worse between boxes. In addition the latency on Myranet and Quadrics (compared to what Cray et al do) is horrible even if it is excellent compared to ethernet.

    Problem set vs architecture: Not all problems map out well to clusters, or even SMP boxen. Some map best to vector machines. Some map best to tightly integrated MPPs. Some map out to moderately tight clusters. Some are just plain 'embarassingly parallel'. Others are highly threaded and don't work well on vector or scalar machines. etc, etc. The architecture ought to match the problem set.

    MTBF: Mean time between failures. Commodity hardware goes kaputt much more often. A cluster capable of teraflop performance of custom hardware tends to need constant and evil levels of care and feeding: ie you better have a grad student on roller blades.

    Those are just off the top of my head. I am sure that others will Tell you others before I can post again. ;)

    Summarized: bandwidth, latency, problem set, and failure rate.

    HTH.

    --
    Do you know why the road less traveled by is littered with the bones of the unwary?
  11. Re:Ha! Wall Street has more confidence in SCO by Anonymous Coward · · Score: 4, Funny

    SCO vs Nike

    Look at me, I'm a stock analyst!

  12. Re:explain by fgodfrey · · Score: 5, Informative
    As other replies have posted, bandwidth is the big issue. And by bandwidth, we are talking bandwidth of the processor to memory. Cache is great and all, but if you are stepping through gigabytes of data (or in some cases terabytes of data), your problem isn't going to fit in cache. The speed of your processor will then be dominated by the speed at which it can get to main memory. On a PC, that's slow. What's even slower is when you have to exchange data to a remote node in the cluster. Current massively parallel supercomputers (which is pretty much all of them) have phenomenal bandwidth between processors and memory and between nodes.


    Second, (yes, I work for Cray so now I'm going to put in a sales pitch :) our processors are vector processors. As such, you can hide a lot of the latency of getting to memory by queueing up 64 loads at once. Short length vectors are what is used by MMX and Altivec to accelerate graphics. With sufficient vector operation chains, you can keep the processor busy all the time. You can't do that on a PC. I've heard (no, I don't have actual links to articles) that 10% of peak performance on a cluster is considered really good. Our customers wouldn't consider that anywhere near "really good".


    Finally, there's memory. Lots of it. A single system image supercomputer can have terabytes of memory in one kernel image. You're simply not going to get that in a single PC cabinet.


    Finally, in case anyone doubts that vectors, big memory, and large bandwidth can make a good system, the fastest machine in the world right now is the Japanese "Earth Simulator" machine which is an NEC SX machine. That is somewhat similar in architecture to a Cray in that it has large bandwidth and vectors.

    --
    Go Badgers! -- #include "std/disclaimer.h"
  13. Re:explain by virtual_mps · · Score: 5, Interesting
    MTBF: Mean time between failures. Commodity hardware goes kaputt much more often. A cluster capable of teraflop performance of custom hardware tends to need constant and evil levels of care and feeding: ie you better have a grad student on roller blades.

    Hahahaha. Have you ever actually run a supercomputer? They tend to have much higher failure rates then normal servers. Couple of reasons: first, they push the envelope of a given technology. The sweet spot for stability is not the leading edge. Second, they're not nearly as well tested as mainstream hardware. On a platform with thousands of installations you're much less likely to run into a problem nobody has seen before than you are on a platform with only dozens of installations.
  14. Before we all get sentimental... by taradfong · · Score: 4, Interesting

    ...isn't 'Cray' today about as 'Cray' as the company that now owns 'Atari'? What's left besides the name of the original company?

    --
    Does it hurt to hear them lying? Was this the only world you had?
  15. Re:explain by Pieroxy · · Score: 4, Interesting

    Well, almost. Let's say I have a plane that can accomodate 100 people and does NY->London in 6 hours.

    My problem is that I have to move 1000 people from NY to London

    Now I can either:

    1. I can buy a plane that is 20 time faster, 20 times more expensive. That's the supercomputer
    2. I can buy 9 other planes (same as mine) and accomodate the same results as in 1 for less than half the price (I'll let you do the math). That's the cluster.
    3. I can buy a plane that has a capacity of 1000 people. That's the parallel supercomputer. But if that one can do the deal for my specific problem, it proves to be not that flexible if my problem changes (ie: 500 people NY->London and 500 people from NY->LA).

    That's the power of the bewolf cluster!!!

  16. Comeback? by virtual_mps · · Score: 5, Insightful

    Probably not. Cray made some money back when a supercomputer was something that an ordinary company might need. The capabilities of "normal" computers was much more limited then today, so there was a much higher percentage of the buying public likely to want something more. These days the vast majority of users are happy with something mainstream

    But, you ask, isn't there a lunatic fringe who wants more power at any price? Well, the lunatic fringe ain't what it used to be. During the heyday of cray you got a damn fine box and nothing else. Cray didn't want to worry about your software--or even an OS. A person who needed the speed would plunk down the money for the box and then pay a couple of guys to code everything from scratch. Those days are gone--software is the driving factor these days, and people are far less willing to buy something that's going to force a total code rewrite. Especially if that thing is only going to buy them a couple of years of edge before they need to recode for the next best thing.

    Then there's the question of whether cray can afford to be bigger. The answer is "probably not". If you sell to a lot of customers you need a huge support infrastructure. Cray doesn't have much of one anymore, so they'd need to buy one. (Most of the old support guys left one way or another when SGI came in, or stayed with SGI.) If you have a lot of customers you can spread the costs around, but in the case of a company like cray a support infrastructure means having a people sitting around most of the time in every region you sell a machine. Maybe two to four guys per system (24x7, right?) plus some sorta warehouse facility if you enter a new geographical market. That's expensive. You can bill a lot of that cost back to the customers, but that just makes your systems less competetive.

    I think the long term answer is that cray will be a very small niche player, selling to a very select group of (U.S.) government agencies, with the occasional pro forma business customer thrown in so the company can issue press releases. Even most government facilities aren't in a position to buy a cray anymore. (Research money is fairly tight, recoding costs are prohibative, MTBF's are more of an issue then they used to be, etc.)

    1. Re:Comeback? by Rasta+Prefect · · Score: 4, Insightful
      Probably not. Cray made some money back when a supercomputer was something that an ordinary company might need. The capabilities of "normal" computers was much more limited then today, so there was a much higher percentage of the buying public likely to want something more. These days the vast majority of users are happy with something mainstream

      Cray has never sold computers that are anything like a normal company would need. Cray machines are made for heavy number crunching - Vector processors are made for simulation tasks. They're very good at them. However they perform abyssmally at most other tasks - buying one for use as say, a database or application server would be stupid.

      But, you ask, isn't there a lunatic fringe who wants more power at any price? Well, the lunatic fringe ain't what it used to be. During the heyday of cray you got a damn fine box and nothing else. Cray didn't want to worry about your software--or even an OS.

      Last time I checked Cray shipped UNICOS with their machines. It's a fairly BSDish UNIX variant. It's a bit of an oddball, but not all that much more of a PITA than say, IRIX or AIX. Want to port your beowulf apps? No problem! When I spent a summer working on a T3E all of our multi processor apps used MPI. Vectorization of C and FORTRAN apps is largely taken care of by the compiler. So wheres all this programmer investment you're talking about? Most of the kinds of apps that you're going to run on a Cray (Weather models, crash simulations, Gaussian for chemical sims, etc) already run on a Cray, and you're probably going to be modifying them anyway.

      I think the long term answer is that cray will be a very small niche player, selling to a very select group of (U.S.) government agencies, with the occasional pro forma business customer thrown in so the company can issue press releases. Even most government facilities aren't in a position to buy a cray anymore. (Research money is fairly tight, recoding costs are prohibative, MTBF's are more of an issue then they used to be, etc.)

      Cray isn't in the selling large business systems. Cray is, always has been, and likely always will be a competitor in the scientific computing market. Yeah, this means they're not going to be a Sun or IBM that sell to business customers for business needs, but that's not the sort of company they're trying to be so the comparison is pointless. They're selling machines to people who need to do heavy duty number crunching. This means Universities, government agencies and large companies doing lots of product research. Typically the cost of using these sorts of machines is spread around - frequently instead of buying the machine, you'll go to a company like Network Computing Services and buy time on a machine. It works out well. There will always be a certain number of organizations that need this sort of heavy duty computing power, and Cray will be there to serve them.

      --
      Why?
    2. Re:Comeback? by virtual_mps · · Score: 4, Insightful
      My thinking, however, is that the same is true today and for all of the top 100 supercomputers in the world. That is to say, each one of those machines is a custom hardware installation,

      Yes and no. The problem is that a cray box has to cover the whole R&D cost for an entire system. When IBM sells you an SP2 most of the R&D is spread across their much higher volume business lines. Same with an intel based cluster--the technology specific to the HPC market is basically the interconnect, and the rest is subsidized by video game players. There's also the compiler cost (you don't sell many fortran compilers outside the scientific market) but the salaries for a few compiler writers is much lower than the cost of desiging a cutting-edge cpu from scratch.

      At the same time, however, any of these applications are fully capable of utilizing as much hardware resources as you have available.

      That's always true. The question is whether they can use the resources efficiently, and whether the cost/op is competetive. You're right about the algorithms being the driving force, but I'd argue that it is unusual for an algorithm that's optimized for one architecture to run optimally if you move it a radically different architecture. People can spend years trying to squeeze a couple more percent out of their code, and they don't want to start from scratch unless there's a very good reason. Then there's the problem that researchers tend to not work in a bubble. Even if you can afford to buy the most expensive machine on the block you might end up shooting yourself in the foot if nobody else in your field can collaborate with you.

      user interface software is kept at a minimum

      You've got that right--most of the examples I've seen are pretty...spartan.
  17. Re:explain by taradfong · · Score: 4, Funny

    You can't haul the A-Team around in a Pinto.

    --
    Does it hurt to hear them lying? Was this the only world you had?
  18. Gimme by Cyno · · Score: 4, Funny

    My next couch should be a Cray..

  19. Classified? Re:Correct me if I'm wrong ... by SpikeSpiff · · Score: 4, Insightful
    To me, the 5.4% classified is improbable. The same defense establishment that kept the $100s of millions stealth fighter secret for five years can certainly keep multi-million dollar computers secret.

    Especially because it's so much easier to hide a computer than an airplane. No sightings in area 51....

    We have to assume that the state of the art is way past the public data. Cray has a "lousy" $150 MM in yearly revenue. They could be spending 10X that on heavy computing for national security. The government is spending $25BB on intelligence and another $400 BB on defense every year. Cray could be a drop in the bucket, even a red herring. I'd love to know what is going on in the basements at Fort Meade.

    --
    "All that is required for evil to triumph is for good men to do nothing." - Edmund Burke
  20. Economics of Scale by dprice · · Score: 4, Informative

    In the 1970's and 1980's, Cray and other supercomputer companies fit in the niche of "fastest computing at any cost". The design cycles were long for the specialized hardware that pushed the boundaries of the available technology. Companies and government agencies were willing to pay the high price since there was enough processing speed difference between the supercomputers and the "vanilla" computers.

    By the early 1990's, the "attack of the killer microprocessors" came. The PC class processors were still weak, but the higher dollar RISC processors used in workstations, like Sun, were reaching performance levels close to what the supercomputers were able to deliver. Since they were based on higher volume and more standardized processors, the price/performance of the RISC workstations started eating into the mainframe and supercomputer market. Many of the supercomputer companies died off, and some started to incorporate RISC processors into their designs. By the mid 1990's I believe that Tera and Cray were the last remaining old-school supercomputer companies left. The rest either died or were absorbed into other companies.

    Today, the investment required to produce the fastest processor chips is so high that it requires large unit volumes to pay for the cost of development and production. The PC class processors, with their high volumes, are putting pressure on the old style workstation market, where each company makes their own processor (SPARC/Sun, PA-RISC/HP, Alpha/DEC). We see Sun struggling as the PC's eat their market. Even some large scale supercomputers are based on the PC processors. The majority of the computer spectrum from low to high end is based on the same families of processors (Intel, AMD, PowerPC).

    So that brings us to Cray/Tera. Cray seems to go against the economics of scale that drive the rest of the computing industry. What keeps them running is a small niche that the government is willing to keep funded. It is similar to the funding of exotic bombers and fighter jets. We probably won't see Cray grow much larger than they currently are. They be kept running since they form a critical part of the national security, at least that is what the government believes.

  21. The trick is keeping ahead of the commodity guys by putaro · · Score: 5, Interesting

    Supercomputing per se died because Intel, DEC, IBM/Motorola had a lot more money to throw at speeding things up than the supercomputing community.

    In the 70's up until the early 90's it was possible to build a custom CPU out of discrete logic that ran significantly faster than the available microprocessors. Cray was able to push their clock cycle down into the nanosecond range through clever design. However, a 1ns clock rate == 1GHz. You can go buy that multi-million dollar CPU for a couple of hundred bucks in today's market.

    In order for superocmputing to be viable you have to be able to provide quantum leap performance above the commodity hardware AND keep your cost/performance ratio in line as well.

    The CRAY-1 came out with a clock speed of about 80 MHz and vector processing and high memory bandwidth at a time when mainstream systems like the PDP 11/70 were running at about 7MHz with a 1MB/s memory bus. Microprocessors weren't even't a joke compared with the Cray.

    The new Japanese NEC supercomputer came with a price tag of about $160 million if I remember correctly (some estimates say that it took $1G in research funding) and hits 35 TFlops (sustained). #3 on the Top 500 supercomputers list is a Beowulf cluster with 2304 processors coming in at 7.6 TFlops (sustained). Even figuring $2000/processor + interconnect, that puts the Beowulf cluster at around $5 million or 1/32 of the cost for 1/5th of the performance (roughly speaking).

    There are other factors, of course, but the key is that for the supercomputer to stay ahead of the microprocessor a boatload of funding is needed for the supercomputer and the payoff just isn't really there. If it was a lot more supercomputer companies would still be in business.

  22. Re:explain by terrab0t · · Score: 4, Funny

    "Well, a well engineered supercomputer has much less overhead than a cluster. One superfast processor doesn't have to deal with interprocessor communications like a cluster does."

    I like the way Cray put it:

    "If you were plowing a field, which would you rather use? Two strong oxen or 1024 chickens?"
    - Seymour Cray (1925-1996), father of supercomputing


    And how about a few more Cray quotes?

    "#3 pencils and quadrille pads."
    - Seymoure Cray (1925-1996) when asked what CAD tools he used to design the Cray I supercomputer; he also recommended using the back side of the pages so that the lines were not so dominant.

    "I just bought a Mac to help me design the next Cray."
    - Seymoure Cray (1925-1996) when was informed that Apple Inc. had recently bought a Cray supercomputer to help them design the next Mac.

    I wonder what he's using now? a Palmpilot?

  23. Re:Sun Enterprise 10000 by putaro · · Score: 4, Informative

    The E10000 is a Celerity product. Celerity was an independent Unix box maker back in the 80's with their own processor architecture. Celerity went bust trying to bring a "minisupercomputer" version of the architecture to market in about 1987 (33 MHz, whoo hoo!). The assets and technology of Celerity along with the design team in San Diego were acquired by Floating Point Systems (FPS). FPS brought the system to market and made the transition to a SPARC based architecture (66 MHz) before going bust. The assets and technology of FPS along with the design team in San Diego and now the manufacturing team in Beaverton were acquired by Cray. Cray did a couple of turns of the crank on the FPS product and sold it as a "business supercomputer". When Cray was acquired by SGI, SGI wanted no part of the SPARC business and sold (yes, again) the San Diego design team (and I think the Beaverton group) to Sun who finally brought a SUCCESSFUL product to market with the E10000.

    But it's still the same core team down in San Diego, so I like to think of the E10000 as being a Celerity product.

  24. looks like Cray is going with the Opteron by Kargan · · Score: 5, Informative

    The Sandia National Labs supercomputer (code name: Red Storm), currently being built by Cray, is going to be powered by 10,000 Opteron processors. A 40 Teraflop theoretical peak will put it at the top of the supercomputer list, being approximately 4 Teraflops faster than the NEC Earth Simulator, the current champ.

    --
    Palaces, barricades, threats, meet promises
  25. Re:explain by imnoteddy · · Score: 4, Insightful
    I've heard (no, I don't have actual links to articles) that 10% of peak performance on a cluster is considered really good.

    Sounds like Cray marketing articles. For example, Daniel Katz at JPL wrote in 1997:

    it is possible to construct a 16-node machine with a theoretical peak performance of 3.2 GFlop/s and a typical sustained performance of 1.2 GFlop/s
    which is > 35% of peak. Or consider this from the Universiry of Liverpool:

    The current Beowulf cluster can deliver a theoretical peak performance of about 100 Gigaflops (billions of floating point operations per second) and has been observed to deliver about 60 Gigaflops.

    The observed performance was based on LU decomposition.

    For sustained/peak of about 60%.

    I have no doubt that one could find problems where a Beowulf cluster has 10% efficiency, but there are real many problems that are good to go on a cluster. And even if you only got 10% it would be worth it if the cluster cost 5% of what a vector computer costs. Not to mention that performance/$ on commodity hardware increases by a factor of 2 every 12-24 months. It takes years to develop a supercomputer, and they are stuck at their level of technology for several years since they are so expensive to redesign.

    --
    No electrons were harmed creating this post, though some may have been subjected to electrical and/or magnetic fields.
  26. Re:Icon is back by CausticWindow · · Score: 5, Interesting

    I remember a story from a NSA contract worker.

    In the early days of Cray, he and many others were wondering how they could keep things running, considering that their official budgets only showed ten or so sales per year.

    Until he got the tour of the NSA computer plant, where they had a hall the size of two football fields, filled with Crays.

    --
    How small a thought it takes to fill a whole life