Slashdot Mirror


Folding@Home Releases GPU Client

SB_SamuraiSam writes, "Today the Folding@Home Group at Stanford University released a client (download here) that allows participants to fold on their ATI 19xx series R580-core graphics cards. AnandTech reports, 'With help from ATI, the Folding@Home team has created a version of their client that can utilize ATI's X19xx GPUs with very impressive results. While we do not have the client in our hands quite yet, as it will not be released until Monday, the Folding@Home team is saying that the GPU-accelerated client is 20 to 40 times faster than their clients just using the CPU.'"

17 of 177 comments (clear)

  1. Power usage? by Anonymous Coward · · Score: 4, Interesting

    Anybody got an idea of what kind of power constant full speed GPU calculations are likely to burn?

    1. Re:Power usage? by NerveGas · · Score: 4, Informative

      I don't have specifics for that chip, but I would guess 100-150 watts. In both performance-per-cycle and performance-per-watt, it far outstrips using a general-purpose CPU.

      20x-40x the performance at 1x-3x the power usage is pretty good.

      steve

      --
      Oh, you're not stuck, you're just unable to let go of the onion rings.
    2. Re:Power usage? by merreborn · · Score: 5, Funny

      I can't imagine running a gpu at 100% and cpu at 100% for hours on end.

      Clearly, you're not one of the millions with an active WoW subscription.

    3. Re:Power usage? by piquadratCH · · Score: 5, Informative

      The german newsticker heise.de cites 80 watts for a X1900 card while folding.

    4. Re:Power usage? by jericho4.0 · · Score: 4, Informative
      --
      "A language that doesn't affect the way you think about programming, is not worth knowing" - Alan Perlis
  2. Re:good, I think... by ThePeices · · Score: 4, Informative

    You wont damage your card. The GPU's cooling system is rated for keeping the GPU within its thermal design spec at full load, how long you run it doesnt matter as long as there is adequate ventilation. That applies to gaming too, so its not a problem. As to sppeding up its death, your card will become obsolete by the time that happens.

  3. Re:Folding@home versus Grid.org by P3NIS_CLEAVER · · Score: 5, Funny

    I agree. We should stop all science not having a direct impact on cancer until cancer is cured.

    --
    Please sign petition to restore sanity to our banking system!!!

    http://financialpetition.org/
  4. Two words: closed architecture by J.R.+Random · · Score: 4, Insightful

    "With help from ATI, the Folding@Home team has created a version of their client that can utilize ATI's X19xx GPUs with very impressive results."

    And therein lies the rub. While GPU's are getting more and more like general purpose vector floating point units, they remain closed architectures, unlike CPUs. Only those that can get help from ATI (or Nvidia) need apply to this game.

    1. Re:Two words: closed architecture by flithm · · Score: 4, Informative

      That's not necessarily true. It is a relatively new field of computer science, and thus there's not all that much info out there yet. But once you understand the basic concepts of general purpose GPU programming anyone can do it.

      What's most likely is that the guys at Stanford started pushing the hardware to the limit, and in ways the driver developers might not have anticipated. Probably what they ran up against was bugs in the driver, and the help came from ATI in terms of ways to work around the bugs. Evidence backs this up from Folding@Home's GPU FAQ:

      [You must use] Catalyst driver version 6.5 or version 6.10, but not any other versions: 6.6 and 6.7 will work, but at a major performance hit; 6.8 and 6.9 will not work at all.

      Your next question might be, if that's true then why use ATI (who are known for poor driver quality)... it might simply be a matter of that's the hardware they had to test with, so that's what they needed to use.

      At any rate, it's definitely possible to get started doing GPU programming without vendor support.

      There's even some API's out there to help... The Brook C API (for doing multiprocessor programming) has a GPU version out called BrookGPU: http://graphics.stanford.edu/projects/brookgpu/ind ex.html

      There's even a fairly large community of people using Nvidia's own Cg library for doing general purpose stuff.

      There's also GPUSort (source code available to look at), which is a high performance sorting example that uses the GPU to do the sorting, and it trounces the fastest CPUs: http://gamma.cs.unc.edu/GPUSORT/results.html

      And last but not least there's the GPGPU site that is a great resource for all sorts of general purpose computing the GPUs: http://www.gpgpu.org/

  5. Not really. by megaditto · · Score: 4, Funny

    Not all the power gets dissipated as heat. Some gets sent down the Internet tubes.

    --
    Obama likes poor people so much, he wants to make more of them.
  6. Re:Folding@home versus Grid.org by Matt+Perry · · Score: 3, Insightful
    It seems that folding@home is not directly working on producing a cure and they are focusing on understanding "how" something happens.
    Understanding how something does or doesn't work is the first step to fixing things. Maybe what is learned by Folding@Home can be applied to solve problems in other areas like cancer.
    --
    Slashdot: Failed Car Analogies. Amateur Lawyering. Anecdote Battles.
  7. Re:Good use of my GPU when idle... by Trogre · · Score: 3, Informative

    Two problems:

    1) There is no Linux GPU client (yet)
    2) Many gamers who use Linux have gone nVidia due to driver support. There is no nVidia client (yet)

    --
    "Nine times out of ten, starting a fire is not the best way to solve the problem." - my wife
  8. Security Risk? Nope, much safer than games by billstewart · · Score: 3, Insightful
    Folding@Home and similar projects aren't a security risk, as long as they're from trustable sources. They're certainly far safer than the closed-source game software that was the reason you bought a high-end 3-d accelerated video card in the first place. I'd prefer to see projects like that being open-source (at least in the sense of "you can read the source and do anything you want with it", as opposed to the stricter "accepts changes back from the community" part of the model.)


    Most of the distributed-computation projects have a very simple communication model - use HTTP to download a chunk of numbers that need crunching, crunch on them for a long time, and use HTTP (PUT or equivalent) to upload the results for that chunk, etc. Works fine through a corporate firewall, and the only significant tracking it's doing is to keep track of the chunks you've worked on for speed/reliability predictions and for the social-network team karma that helps attract participants.


    Online games normally have a much more complex communications model - you've got real-time issues, they often want their own holes punched in firewalls, there's user-to-user communication, some of which may involve arbitrary file transfer, and many of the games are effectively a peer-to-peer application server as opposed to the simple client-server model that distributed-computation runs. Fortunately, gamers would never use third-party add-on software to hack their game performance, or share audited-for-malware-safety programs with their buddies, or "share" malware with their rivals, or run DOS or DDOS attacks against other gamers that pissed them off for some reason.....


    As far as the effects of running a CPU or GPU at high utilization go, most big problems will show up as temperature, though there may be some subtle effects like RAM-hogging number-crunchers causing your system to page out to disk more often. Not usually a big worry if you're running a temperature monitor to make sure your machine doesn't overheat. Laptop batteries are an entirely separate problem - you really really don't want to be running this sort of application on a laptop on battery power. I used to run the Great Internet Mersenne Prime Search when I was commuting by train, and not only did it suck down battery, the extra discharge/recharge cycles really beat up a couple of rounds of NiMH battery packs. Oh - you're also contributing to Global Warming and to the Heat Death of the Universe. But finding cures for major diseases is certainly a reasonable tradeoff, and we'll do that faster if you're using your GPU as opposed to 10 people using general-purpose CPUs.

    --

    Bill Stewart
    New Fast-Compression-only CPR http://preview.tinyurl.com/dy575ks
  9. charitable donations by naoursla · · Score: 3, Funny

    Is there any way I can use this to make my next graphics card purchase tax deductable?

  10. Re:Am I the only idiot? by Vegeta99 · · Score: 4, Informative

    They're studying the folds of protiens. All protiens are made of chains of amino acids, but usually more than one chain, and they're folded and twisted in a precise way in order to perform their functions. Think of them as a cell's nanomachines. Some of them are so large and complicated that it takes quite a bit of CPU power to calculate how they will fold.

  11. Increasing expectations, not hardware burnout. by Kadin2048 · · Score: 3, Informative

    You make a very good point.

    A computer that does some task today, should -- assuming it wasn't designed to be flawed or have a fixed life expectancy from the very beginning -- still be capable of doing that task in ten years. And for the most part I think this is true; it will.

    Most computers that are 10 years old still run fine today (ones that were well-made in the first place); the problem is more one of finding a purpose for them, and then finding software to run on them, then getting them to start. Actually, I would wager that lots of computers that are 20+ years old would still run fine today, depending on how they've been stored and taken care of in the interim.

    The problem isn't that machines really "wear out" all that quickly; with some exceptions few do. It's more the relentless drive of increasing expectations that puts working equipment in the landfill. At least for home users; commercial users have their support contracts to worry about, so it's slightly more complicated.

    Case in point: I have an Apple IIc in my closet right now, which I know for a fact works fine. I could take it out tomorrow, set it on my desk, put in Apple Write, fire it up and start typing away. Somewhere around I even have a dot-matrix serial printer that I could use to output from it. Everything that Apple advertised that computer as capable of doing, it is just as capable of doing today as it was twenty-one years ago. So why am I not using it? Why am I sitting here with a computer that's only four years old, when I have a perfectly functional computer from 1984 in my closet? It's not because I like spending money. It's because I want to do things that I can't do on an old computer. There are a lot of things that I consider necessities, or at least things that are nice enough to have that I'm willing to pay for them, that weren't possible or even considered more than a few years ago.

    If you honestly think that what you can do with a computer today is all you're ever going to want to do -- that you won't see some neat feature on your friend's box in 2014 and decide that you need to have it -- then you're absolutely correct; the computer you have now is the last one you ought to ever have to buy. Realistically though, most people aren't like this; they know that the computer they have today isn't going to be something they're going to want in five or ten years, and they're not willing to pay for a machine that's built to last longer than that.

    The things that people use home computers for has changed, and will continue to change, and the tasks that people want to use their computers for will drive the upgrade cycle far faster than the breakdown rate of the components does.

    --
    "Ladies and gentlemen, my killbot features Lotus Notes and a machine gun. It is the finest available."
  12. Good for ATI by mollog · · Score: 3, Interesting

    I predict that this new client that runs on ATI hardware will cause a spike in sales of their products. I, for one, will be trying to get this card for my computer so that I can improve the rate that folding@home runs on my system. And I'm certain that others have the same intention.

    If you think about that, it says something about us that I think is important; people want to help and they're willing to spend their money to be helpful.

    The concept of voluntary grid computing is a curious one. Why do people do this? Surely one more little CPU grinding away at a huge problem won't make a difference. Yet even though we all know this, we do it anyway. The result of this collective hopefulness and helpfulness is tangible. But what else is strange is that so little notice is given to grid computing. I don't recall hearing about it on CNN or any other news television program. SETI gets air time because it's so, well, 'out there', but the folding, aids, cancer/find-a-drug stuff is operating in obscurity.

    BTW, kudos to Slashdot for helping get the word out. I first heard about grid computing here.

    --
    Best regards.