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Thread: Computer building opinions

  1. #31
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    Why make it yourself. All you need is money

    http://www.oracle.com/us/products/se...er-077287.html
    Please Mr ACC, my 1300cc bike was passed by a 400cc bike on a track day, can I have my fees reduced ?

  2. #32
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    Btw I did forget to say

    I use linux 64 bit debian and I feel like its going to be , the I7 quad for a start , then followed by another of the same as the prices will have dropped by then

    That ( While a long way of , ) will be enough to keep me happy till end of next year

    and lots and lots of Rams

    Canterbury one of course

    Stephen
    "Look, Madame, where we live, look how we live ... look at the life we have...The Republic has forgotten us."

  3. #33
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    Before you go off and start looking at any hardware you should work to understand the problem.

    Some equations do not benefit from more execution cores, for example; the Fibonacci sequence involves starting a sequence with a "0,1" and then figuring out each subsequent number as a sum of the two previous numbers eg. Fn = F(n-1) + F(n-2). In this situation you have to complete an addition before moving onto the next number, you can't start in an arbitrary location so the second core wouldn't be able to help at all.

    For memory, are you actually maxing it out at the moment? Most calculations are CPU intensive as opposed to RAM intensive.

    As for using a PS3, if your equation deals with floating point numbers, matrices or other types of data that can be optimized for "Single Instruction Multiple Data" instructions then they can be useful. But they're not the supercomputers in a box solution that popular media makes them out to be.

    I've no idea what type of calculation you're doing but justly blindly spending money and hoping it'll make your problems go away could be a bit of waste.

  4. #34
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    It'll be damn fun doing it tho, until you see the invoice.

  5. #35
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    Quote Originally Posted by Grasshopperus View Post
    Before you go off and start looking at any hardware you should work to understand the problem.

    Some equations do not benefit from more execution cores, for example; the Fibonacci sequence involves starting a sequence with a "0,1" and then figuring out each subsequent number as a sum of the two previous numbers eg. Fn = F(n-1) + F(n-2). In this situation you have to complete an addition before moving onto the next number, you can't start in an arbitrary location so the second core wouldn't be able to help at all.
    May I prefer you to the Intel parallel processing language Cilk, and this document describing how to calculate the Fibonacci sequence using parallel programming.
    http://supertech.csail.mit.edu/cilk/manual-5.4.6.pdf

    Often it is a matter of thinking differently to be able to work in parallel.

  6. #36
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    At the moment it looks like a "render farm" I was thinking about it last night ,

    Custom made chassis ( cant be any harder than motorbike bits) then mother boards and chips and 2 gig per core

    Thats quite cheap , infact I could build each node for less than 10 000 yen ( expanding as I get better

    The master computer , will be the bloomfield chip with as much ram as it will take

    I need to research this a lot more but thanks to u lot a few more avenues appeared
    ta!

    Stephen
    "Look, Madame, where we live, look how we live ... look at the life we have...The Republic has forgotten us."

  7. #37
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    Whats with the obsession with having all this RAM, do you people even look at how much is actually being used.

    2GB per core, wtf thats retarded. So glad I'm not in the IT industry anymore, been taken over by over excitable numpties.

    As you were

  8. #38
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    Some modern apps are very resource inefficient , I struggle with 2gb physical at work (VMWare console, 2 .net apps and a java app and it's all over).
    Ciao Marco

  9. #39
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    Quote Originally Posted by Juzz976 View Post
    Whats with the obsession with having all this RAM, do you people even look at how much is actually being used.

    2GB per core, wtf thats retarded. So glad I'm not in the IT industry anymore, been taken over by over excitable numpties.

    As you were
    I know how you feel

    I have to listen to you when you bring your bike in for a service ,,,,

    I was advised by someone I trust that around 2 gig per core is about right for Openfoam

    soo,,,,, Im going with this ,,,

    Dont feel bad if I put music on when your explaining about your pride and joy ,,,

    Stephen

    oh ps , why is it retarded in your Humble opinion

    PPs , yes from memory over (70 % ,,, I have this wonderful system monitor in the tray , both cores near 90% ,,,,,Im running another solver in a few min

    would sir like a screen shot??
    "Look, Madame, where we live, look how we live ... look at the life we have...The Republic has forgotten us."

  10. #40
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    Quote Originally Posted by Brian d'marge View Post
    Here is what Open foam does

    From my home page

    http://477-racing.webs.com/apps/videos/
    Don't show me that!!!! Now I want to install OpenFoam and model the intake and exhaust on my race bike
    Zen wisdom: No matter what happens, somebody will find a way to take it too seriously. - obviously had KB in mind when he came up with that gem

    Artificial intelligence is no match for natural stupidity

  11. #41
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    Quote Originally Posted by p.dath View Post
    May I prefer you to the Intel parallel processing language Cilk, and this document describing how to calculate the Fibonacci sequence using parallel programming.
    http://supertech.csail.mit.edu/cilk/manual-5.4.6.pdf

    Often it is a matter of thinking differently to be able to work in parallel.
    Ha, got you you bastard

    That example is just a lightweight demonstration of CLIK's message passing interface.

    From the doco,
    "In the Fibonacci example, a sync statement is required before the statement return (x+y), to avoid the anomaly that would occur if x and y were summed before each had been computed."

    So this is simply making a parallel cluster work in a serial fashion by farming out each sequence number calculation to the cluster, getting the response and then farming out a request for the next number. In this case the network overhead for the sync would defeat the point. There is no true parallel processing here.

  12. #42
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    Quote Originally Posted by Mental Trousers View Post
    Don't show me that!!!! Now I want to install OpenFoam and model the intake and exhaust on my race bike
    its free at CAElinux

    Meshing is the hard part.. but if you keep it simple and get a water tight , non manifold part it will run soothly

    and yes , that what I do ,,,,,

    ( my next project is flow through an suspension mid valve , ,,,,tested by using shapeways 3d printer ............)

    Stephen
    "Look, Madame, where we live, look how we live ... look at the life we have...The Republic has forgotten us."

  13. #43
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    Quote Originally Posted by Juzz976 View Post
    Whats with the obsession with having all this RAM, do you people even look at how much is actually being used.
    He is probably working with decent size data sets, and holding the entire data set in RAM makes the processing much faster.

    Quote Originally Posted by Grasshopperus View Post
    Ha, got you you bastard ...There is no true parallel processing here.
    Doh!

  14. #44
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    Have you considered simply renting cloud resource, like from Amazon and the like? You can pay by the hour of CPU time used.

  15. #45
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    running a simple routine ( or whatever you call it now )

    course grid, a few million cells and its

    CPU 1 100% Cpu2 40 % Ram Just short of one Gig ( 800 ) and will be complete in 40 min ( and produce 5 gig of data)

    All this will give is a rough idea of airflow over a VW beetle ( no reason)

    and when I use parafoam to view the results , ( another area thats intensive ) every pass on the above data set takes ( up to ) 2 seconds per iteration ( this one has 1000 iterations )

    So there u have it


    Stephen

    Beowulf cluster>>>???
    "Look, Madame, where we live, look how we live ... look at the life we have...The Republic has forgotten us."

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