NOTE: If you find yourself angry after reading this post, read this first.
This seems difficult, at first glance, but really, it’s not.
At all.
From the time you get all your hardware plugged in to the time you’re doing some massive parallel processing, depending on your needs, can be anywhere from 2 hours to 10 minutes. And this simple guide will help you get there.
Get the Hardware
Now, mind you, I’m not trying to do this as cheaply as possible, but I am trying to do this with as much bang for your buck as possible. These are the things you need to get.
PCs: Duh, kinda the barebones necessity in a cluster, and I have a recommendation: eMachines T5212. It’s got a Pentium 805 Dual core Processor with each core running at 2.66ghz, for a total of 5.32ghz per machine, and 2x1MB L2 cache, which while not stellar, is pretty respectable. It’s also got 1gb of RAM and a 200gb hard-drive, so storage problems go away pretty quickly too. There’s a lower model with half the ram and a smaller hard drive, the T5216, but I need the RAM, so I go with the T5212. At Best Buy and other stores, these run about 534.99 for just the tower. Mind you I have chosen this box for the hardware’s compatibility to the software we’ll be using in a later step.
Network Cables: You’re going to need at least one for each PC, and probably a couple more if you have an external device or PC acting as your DHCP server and/or gateway.
Network Hardware: You’re going to need a switch big enough for all your PCs to connect (or a series of small ones that you can daisy chain together). Life will also be a lot easier if you have a ONE DHCP server for all of your machines. All the machines need to be on the same IP subnet, but don’t need to be on the same network switch or in the same geographic area.
Setting Up your Hardware:
In my personal configuration, I have a small network appliance that acts as a dhcp server, router, and print server, so I use that as the base of my networking needs. I then have a series of smaller switches which have 1 (count them, 1) link total back to the DHCP server. This is important for me, so that network traffic on the cluster doesn’t bog down the rest of my home network. How else could I play Halo while factoring 100 digit non-prime numbers? This will also help your cluster have fewer jumps between nodes.
Your Software:
I strongly recommend the use of ClusterKnoppix. It’s a great tool, and is very stable. It uses the 2.4 debian kernel, and has openMosix installed and configured for auto-detect (which means nodes are essentially plug-and-play, though not really, and I’ll discuss why later). You’ll need one copy for each box, unless you choose to commit the knoppix image to the hard-drive of each machine. It’s not necessary, but it may be easier if you don’t have a stack of CDR’s at your disposal.
Booting up the Cluster:
This is probably the easiest part of the process. Place a ClusterKnoppix CD in each box, and boot it up. I can vouch that this hardware is compatible and you won’t have any issues loading, so now you’re ready to work! NOTE: If you do this with other hardware, I can’t guarantee things are going to work so swimmingly, and I am nowhere near qualified to help you trouble-shoot your hardware. If you have a DHCP server and DNS somewhere on your network, your cluster should be live to the internet, so you can pick up your code off other boxes on the network or from a CVS server somewhere out there in the intarwebs. There is a version of GCC and G++, though I can’t think of the version numbers off the top of my head (feel free to check the link on the side of this blog, I’m sure its there somewhere).
Making your Mosix Cluster a Beowulf
There’s two methods, but they essentially do the same thing. The first is to commit a knoppix image to the hard-drive of one of your boxes. There are tools for formatting and repartitioning the harddrive in the utilities menu in KDE (I think it’s GTPart that’s installed, as well as a few others). Follow the instructions from http://www.knoppix.org or from any other live-distribution site (they’re a little extensive, else I would include them here). The second is to commit an alteration image to your hard disk, and then boot knoppix from this alteration image (a new feature to Knoppix that I’ve never used, so once again, check the intarwebs).
Either method you choose, I would strongly recommend you use LAM/MPI (or openMPI if you so strongly desire the biggest and baddest). The nice thing about this setup, is that you do not need to configure each machine with lam, or configure your root node with machine lists of all the other nodes in the network. All you have to do is create multiple processes on the node that has MPI installed, and openMosix will balance the cluster. It’s truly beautiful. In order to run a process in mpi, follow these simple instructions (for lam):
bash$: lamboot
<some output here>
bash$: mpirun -np (some number of processes) <your executable name> <your arguments>
That’s it. You don’t even need to compile your binaries using the MPI compilers, assuming they don’t use the MPI libraries. If they do, use mpic++ or mpicc as you would g++ or gcc, respectively.
I’d love to hear success stories, so please, leave comments!
January 9, 2007 at 8:39 pm
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January 10, 2007 at 4:29 pm
A dual core 2.66 GHz doesn’t mean you get 5.32 GHz per CPU (per computer).
March 18, 2012 at 3:17 am
You can have a series of dual Xeon motherboards with 30gb of RAM about 10 and you have a bad ass machine coupled with a windows or Linux kernel and your flyin it also wouldn’t hurt if you had a couple of nvidia quatro 6000 graphics cards either
January 10, 2007 at 4:45 pm
I recently had a bad experience with the T5212, and bought a PC that was slightly faster and had bigger hard drives that Compaq puts out – also available at Best Buy (I blogged about the issue (click on my name) if you care, but it had to do with BIOS problems while installing Virtual PC.). It cost me $30 more when I return the Emachine box. And I think he said “5.32ghz per machine” – which is basically a performance indicator you can use to compare how many instruction cycles you’ll get out of the PC.
January 10, 2007 at 4:50 pm
“for a total of 5.32ghz per machine”
I stopped reading after that….
January 10, 2007 at 4:52 pm
Interesting, I shall scavenge the streets for some trusty P2s.
January 10, 2007 at 5:17 pm
I used to work at Best Buy on the Geek Squad and often times I had to deal with returns when Customer Service felt that dealing with customers was not the way to go. As a result I have definite mistrust of EMachines becuase they break. About 1 out of 4 or 5 EMachines is broken out of the box and even more will break within a year. They’re not good machines. DO NOT BUY AN EMACHINE! The motherboard has a tendency to fry incredibly fast, too.
January 10, 2007 at 5:17 pm
I used a small beowulf cluster a fellow computer science major built in college to run some openMPI stuff. Ah that “mpirun -np” brought back good memories! I think we had about 6 or 7 Duron 700s running in the cluster. I ran some sweet n-bodies simulations. Another fun thing to do is Povray. There’s a version of that you can run on a cluster as well! I can’t remember what it is right now though
January 10, 2007 at 5:20 pm
@Jim
I kept on reading, cause I wanted to know what software he used… But yah, anyone who says “for a total of 5.32ghz per machine” obviously isn’t too bright.
January 10, 2007 at 5:28 pm
i assume that this works for custom applications that you have written. what about commercial applications? say i wanted to transcode a bunch of video with some off the shelf video transcoding product. would that be possible with this cluster?
January 10, 2007 at 5:31 pm
Something I’d like to clear (P.S., I wrote this article), is the statement (“5.32ghz per computer”)…. I understand you don’t actually get 5.32ghz per computer on any single thread. The nice thing about a supercomputing cluster is that the processing power scales (almost) linearly per core, assuming you have enough threads to occupy each core.
January 10, 2007 at 5:37 pm
Don’t worry, dude – some of us understood what you meant – you were just trying to give an overall available clock cycles that we could use as a metric for comparison. Others were just being elitist nit wads.
January 10, 2007 at 5:59 pm
Your view on America is a poor one, I am currently an American High School student and I have successfully created a cluster using FC 2. So keep your American comments to yourself, and keep your eyes on a tech goal.
January 10, 2007 at 6:17 pm
The Mac OS (OS X) has XGRID built in, allowing you to do this from the get-go with any OS X Mac. Given that the base Mac Mini is $599, comes with 512m of memory, 80g hard disk and a core 2 Duo chip and the load balanced clustering is build into the OS, would this not work as well or better, especially given the small size of a mac mini?
Apple describes XGRID as follows: “Now any individual or workgroup can quickly build a low-cost supercomputer. Introducing Xgrid, the first distributed computing architecture to be built into a desktop or server operating system. With Xgrid, scientists, animators and digital content creators can run a single job across multiple computers at once — without ever rewriting a single line of code.”
You can find out about it at: http://www.apple.com/server/macosx/features/xgrid.html
An obvious benefit to this approach is that, needless to say, all the hardware is fully compatable! If your ap can be recompiled to run on an intel mac, then you would be golden.
January 10, 2007 at 6:37 pm
enjoy this greatly.now I know what to do and how to put the server i’m build. Thanks alot.Norris
January 10, 2007 at 6:41 pm
Actually Supercomputing does NOT scale linearly per core. It’s a fact.
January 10, 2007 at 7:10 pm
Comments are the bane of society.
January 10, 2007 at 7:35 pm
When you say that this is load balancing, do you have to submit to a queue, or do the jobs automatically get shuffled out to the right places?
In other words, if I log into node1, and type:
% ./a.out &
% ./a.out %
% ./a.out %
% ./a.out %
are all of these jobs running on node1, or do they get farmed out to nodes 2-4 as well?
January 10, 2007 at 7:55 pm
about the 5.32ghz per machine:
when you read the article carefully, you will see there is no mistake at all,
If you consider the ‘ticking clock analogy’: two cores ticking along at 2.66*1024³ ticks per second actually tick 5.32*1024³ times a second…
He did not speak about the performance
January 10, 2007 at 8:05 pm
In response to Rick:
The processes will be balanced across the cluster, should there be a need for it. For example, if you have 4 single core boxes and 4 processes that are each using a significant amount of resources (basically just running for a long time), then they will transparently be migrated across the cluster, though all controls to the process (kill, killall, etc.) will still have to eminate from the node you started them on.
To answer your question directly, yes, they’ll migrate themselves.
January 10, 2007 at 9:01 pm
On the eMachines comment: At the moment, I’m working on one of those. Heh, the boss’s wife is determined that there’s nothing wrong with it because it’s not very old. Bull!
The board will last a while…if you get a decent power supply. All that ever burnt out on this board is the built-in Ethernet. An aftermarket power supply, 100BaseTX Ethernet card, a 3rd-party floppy drive, and extra fans, and that sumbitch is ready to go! *wink*
January 10, 2007 at 9:04 pm
Piro said: “Supercomputing does NOT scale linearly per core.”
It depends on whether the application requires much interprocess communication. There are a number of embarrassingly parallel (low to no IPC) problems which scale almost linearly, the ‘almost’ being the overhead in job setup and teardown.
January 10, 2007 at 9:16 pm
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January 10th, 2007 at 5:17 pm
I used to work at Best Buy on the Geek Squad
You just lost all credibility.
January 11, 2007 at 12:52 am
This mights sound like a dumb question to some of you, but after I get a cluster up and running, would it be possible to install a copy of XP or Windows Server 2003?
I suppose I could do it using VMware, if VMware can be installed on a cluster? That I do not know.
If VMware can be installed on a cluster, I could do an install of XP/Server 2k3 on one of my existing windows boxes and move it over to the cluster.
January 11, 2007 at 12:54 am
Doing the install on top of VMware, that is.
January 11, 2007 at 1:37 am
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This group made a flash mob super computer just by taking normal computers and useing a LiveCD of linux
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January 11, 2007 at 3:29 am
I was just going to use some old PCs that were thrown away.
Fun and games -high tech
January 11, 2007 at 8:16 am
I sold a Cray supercomputer on ebay about six or seven years ago, not a bad place to start when building one!
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January 11, 2007 at 6:49 pm
dear Alan
Shut up about mac’s. Apple sucks and so does iPod. apple and their monopoly. apple sucks, OS X is so simple, only iddiots use it. and its cartooney =(
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January 12, 2007 at 6:42 am
what was your clusterKnoppix Version. 3.6 ???
I had tried with CHAOS on 2.4.x. It has an option for 2.6.x. and ran prettY well.
Have ya heard of ROCKS, check mine
http://vipinsagar.net/2006/07/19/rocks-clustering-a-review/
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January 15, 2007 at 12:29 pm
…eMachines, i recently found out thru some mediocre online research, have a prevalence of powers supply issues, usually resulting in PSU, mobo, and cpu burn-out within 12 months of use, +/- a couple months…other than that, most users/owners seemed satisfied…sigh…lol…
…short of the, IMHO, less-than-accurate field engineers math on the core/clock/processing jumble, the rest of your treatise is interesting and worth, at least, a turn of the hand at…i’ve got some old junk lying around, pIII and II’s…i’ll give this a try…and be quite pleased with the results, too…
…thanks for the old-school computer hobbyist/enthusiast, erm, /enthusiasm/…lol…
…peace…
doc
February 11, 2007 at 6:01 am
Dear chaser:
Actually Apples don’t suck. Funny how Microsoft decided to go with the “cartooney” look and OS X feel. Actually a very poor job at copying it. So why would a smart person like you want to use something so complicated then? If it wasn’t for Apple you wouldn’t have windoze today or the mouse! You’d be on DOS version 25! I’ve been on both sides of the fence and thus switched. Seems to me those who choose OS X are the smart ones if it’s “so simple”.
Oh sorry that the zune can’t keep up with the ipod. The only reason they have a brown one is because it is a piece of CRAP!!!
August 27, 2009 at 9:41 pm
from memory my first computer was commodore vic 20, then a amiga500 which had a windows enviroment, the amiga like apple also used a motorola cpu.
my question is how much earlier than the amiga500 did apple have windows?
October 21, 2009 at 6:56 am
I think the first Apple to have a windowing-type environment was the Lisa, released in 1983. That puts Apple quite a bit ahead of the amiga500 released in 1987.
Although Xerox, if I am not mistaken, released the firt OS with a GUI in 1981 on their Xerox Star 8010… but perhaps I am wrong.
November 21, 2010 at 11:18 am
Don’t forget the Arti ST computers. Atari, Amiga, Apple and Microsoft borrowed from Xerox’s idea that was being scraped by them. Watch “Pirates Of Silicon Valley (1999)”. Unfortunatly the movie omits mention of Atari and Amiga.
Anyways, back to the real topic hear before all the system bashing. 🙂
February 13, 2007 at 10:54 am
Bush goes ballistic about other countries being evil and dangerous, because they have weapons of mass destruction. But, he insists on building up even a more deadly supply of nuclear arms right here in the US. What do you think? Is killing thousands of innocent civilians okay when you are doing a little government makeover?
Our country is in debt until forever, we don’t have jobs, and we live in fear. We have invaded a country and been responsible for thousands of deaths.
We have lost friends and influenced no one. No wonder most of the world thinks we suck. Thanks to what george bush has done to our country during the past three years, we do!
February 13, 2007 at 12:46 pm
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March 12, 2007 at 7:51 pm
Sorry, but if you aren’t using a Mac as a personal computer or single server, Macs DO suck.
I’ve built a Mac OSX cluster before, using XServes, and it was the worst piece of shit I’ve ever built. The ‘hpc’ tech they sent out to help with the install didn’t know what he was doing, and wasted two solid days of my time. They did such a horrific job that my group all got free ipods as restitution.
I ended up hacking together my own scripts to automate provisioning, etc, and in the end, the entire thing ended up being a hand-install, per-node headache.
Second, why the hell would anyone want to run windows on a knoppix-based beowulf cluster? Damn.
Anywho – if yer gonna build a cluster, do it right – use linux.
March 12, 2007 at 7:53 pm
I would also like to add that the XGrid bullshit that Apple ships to try and fake grid/clustering is also the worst piece of shit I’ve ever seen.
their entire setup is one big tonka toy.
March 13, 2007 at 10:33 pm
Now since I have accumulated old computers people have abandoned after repairing computers, and have a variety of Intel P2,p3 and AMD Athlon 700’s and Athlon XP +2400 and Athlon XP +3200. Now can I stick with the same brand of processor and different speeds, or does it have to be the same mb/proc. brand or can it vary? Thank you.
March 15, 2007 at 12:06 am
Well I guess that the brands and speed of mobo’s and proc. can be different according to the stone soup article I read.
So if this is great for solving big math problems is it good for video games? If it is, what is keeping me away from using this implementation for my customers I encounter that have old turd computers just lying around? Seems to me that would be a nice advantage to do this for video games, or use it as a video game server. Or is this idea just for scientific horse crap only?
April 8, 2007 at 6:49 am
Video games require real time input and output. Math problems will generally still be solved if they take 2 hours or 2 weeks. Also, video games depends very much on the video card, which I assume isn’t being clustered.
April 8, 2007 at 5:10 pm
I’m with RobotGus here. Can the cluster handel not just games but also the over all load of day-to-day. For example. Video converting, application running, etc.
I’m also want to set one up using the ClusterKnoppix cd. I’m going to try to run it on my home network via ethr100 and 802.11g. to see if it is stable to run as a single computer. just not a math cruncher.
Has anyone ever done this, that would like to help out via notes or the problems they head?
April 12, 2007 at 5:59 pm
im considering building a small cluster probably comprising 3 or 4 fairly good spec pcs to hopefully achieve low latency audio. i already use linux for this anyway.
Granted audio processing needs realtime computing but if the computer can perform more instructions per second, presumably it will be able to process more audio samples per second, resulting in a lower latency. at least thats how i see it.
Would you be able to slap it all together, install the necessary software to handle the parallel processing and use the cluster as you would a normal desktop system, with the programs you normally run making use of the increased computational power? or do you have to write/compile your own specialised programs as mentioned on a few websites ive seen.
any help would be great.nothing ive read on the net has been very enlightening.
cheers.
June 14, 2007 at 11:44 am
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July 17, 2007 at 5:17 am
Nice Blog.
Im currently running three old systems in a cluster. 784mhz coppermine with 1.5gig, amd k62 375mhz 192meg, and a 500mhz 390 meg. Ive been dabbling with this set up for about two weeks now, and i must say its very fast. The only truly parallel programs Ive tested have been POvRay, and John.
But the openMosixmon make migrating applications a breeze. I cannot run frozen bubble with all three systems, but I can migrate all of my other applications to other nodes thus making frozen bubble a little faster. Im using it as my main desktop for awhile. Ive installed it to the coppermine system with the following command :
su
knoppix-installer, which is the same way that ive been installer knoppix for the past few distros. Oh yeah, Im talkinmg about Cluster-Knoppix. I think I like PK better, mainly because of the PK message board. Anyway, im just sitting here looking at this old 133mhz PI I think I might just add this one to the Cluster…. I need a bigger switch 🙂
I only have one spot left.
Side note:
PK has support for my Bcml5 wifi, the only reason I like CK better was the fact that it set up and browes the net faster. PLPus I did not want the lappy in the insecure viro of a cluster.
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Aww… I just found this blog too! Well best of luck with the projects.I’m thinking about doing the same thing very soon.
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August 31, 2007 at 1:54 pm
Nice article. I do recommend PK and CK to any beginner so he/she can get a feel for parallel environments. I would say though from a programmer’s point of view, that it’s not quite as easy as it sounds. Most programs are not ready for parallel computing. Large datasets for instance, have to be broken up by separate processes and crunched simultaneously. A data crunching program (even audio/video rendering) won’t scale just because you execute it in a parallel environment. MPI programs (LAM, etc) require MPI commands that look for the number of processors and split up jobs accordingly – IN THE CODE. Also, your main() function has to be set up to work on its portion of the data, instead of the entire set. There’s an awesome example of data set splitting in Linux Journal by a guy named Mike Hore, although the example code published does not actually work. It renders a huge image using matrix border detection and prints the borders-only image to a new file. [reply to this post if you’d like some working examples].
If you’re just looking to speed up games, they may scale well on multiple processors, they may not. It depends on the degree of multi-threading used.
CK and PK Live CD’s are not practical in real
heavy crunching environments because you kill all the RAM needed for thinking by having a memory-resident kernel. I’ve done a bunch of benchmarks to this end. PK and CK are cool ways to amaze your friends though. If you have the hardware (or even a school computer lab) set up time is about 10 minutes! Hope this was helpful.
-Bryan
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June 19, 2008 at 5:37 pm
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Thx for the nice introduction to clustering.I have been trying to understand how it can be done and what to expect in the end.Though easy to understand compared to what I read somewhere else, I think the article is pretty short and not so encouraging for a layman like me to try it.Can anyone suggest a guide to clustering using cknoppix or kknoppix for someone with a basic computer skill?I have three laptops which would increase my productivity so much if I can make them work together.
July 31, 2008 at 9:52 am
Guys,
Parallel processing is not really as easy it sounds here. b-yondd touches on the fact that data partitioning is required so that each thread knows what portion of data it is required to process. In shared memory systems this is not too much of a problem as long as your interconnects are low-latency (and your memory is fast – data on disk can cause a real bottleneck). In a distributed memory system the data partitioning logic (and in some cases the distribution of the partitioned data) can be slower than the process run time would have been in serial!
Data partitioning is just one issue. You must also partition your algorithms into discrete parts that can either run in parallel or are serially dependent (this is known as granularity). Amdahls law defines the relationship between the granularity of an algorithm and the expected speed up due to parallelisation.
I work with complex spatio-temporal modeling problems and am trying to find ways to implement adaptive parallelisation techniques for data and processes in a distributed and heterogeneous (e.g. Windows, Linux, Solaris etc) compute environment of around 2000+ nodes. I want people to be able to submit problems to the compute cloud on-demand. If it were as simple as MPI on a homogeneous cluster I’d be greatly relieved.
Good article though!
– Over.
August 14, 2008 at 2:20 am
Hey –
I’m just a nerdy kid with that’s trying to build a cluster out of 20 or so piles of junk i’ve got lying around, but reading all of this has made me start to think I should’ve dedicated the last 7 years of my life to learning linux instead of windows. Does anyone know where I can find a beginner’s guide to building a cluster or something? Maybe a good linux guide? I’ve tried things like the freebsd handbook, but I ended up spending 6 hours straight trying to get KDE to initialize, and when it did I twitched my little finger and somehow messed freeBSD up so bad that I had to start all over again. I mean, I know DOS, but UNIX is on a whole different planet.
And, by the way – One thing i’ve found in common with all the mac users that are into the ‘super-easy-let-the-computer-do-everything-for-you’ kind of stuff – they all drive VW bugs, and they all have a lisp. ;)JK
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November 23, 2008 at 11:13 am
Help with using knoppix cluster can be read here :
http://www.firewall.cx/linux-openmosix-using-clusterknoppix.php
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December 3, 2009 at 3:05 am
m considering building a small cluster probably comprising 3 or 4 fairly good spec pcs to hopefully achieve low latency audio. i already use linux for this anyway.
Granted audio processing needs realtime computing but if the computer can perform more instructions per second, presumably it will be able to process more audio samples per second, resulting in a lower latency. at least thats how i see it.
Would you be able to slap it all together, install the necessary software to handle the parallel processing and use the cluster as you would a normal desktop system, with the programs you normally run making use of the increased computational power? or do you have to write/compile your own specialised programs as mentioned on a few websites ive seen.
any help would be great.nothing ive read on the net has been very enlightening.
^^^^ that is exactly what i want to know too.
March 8, 2010 at 9:04 am
Very nice tutorial.
Don’t listen to those idiots who do not understand the concept of parallel computing (i.e. those who complain about 5.32ghz per machine). They are just jealous. And these guys want to build a cluster, LOL!
You wrote you are using LAM/MPI on the root note and then use openMosix to balance the cluster. I agree that this is an elegant solution.
However, my concern is that this might somehow slow down the cluster. By ‘slow down’ I mean the performance relative to using LAM/MPI on every machine and configuring the root node with machine lists of all the other nodes.
March 11, 2010 at 10:18 am
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April 29, 2010 at 7:45 am
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May 17, 2010 at 1:58 am
I still can’t tell if this allows me to run XP and all the progs that run on XP, using this cluster idea. Everything I am reading seems to indicate that to do this you need to run Linux. Can Linux run my Music and Video editing software? Photoshop? Etc?
In short, I want to keep running xp, but on a cluster of older puters so I can get some use out of them and faster render times.
December 3, 2011 at 8:32 am
u can use linux and run xp in a vertual box inside of linux
June 15, 2010 at 11:01 am
Hi All,
I would like to add couple of points here … Now most of the cars has chip system to facilitate the scanning of the car and which gives better results than before .. I have come across cars with chip system recently in http://cars.trovit.co.in . why don’t you check it ?
Thanks guys…
June 29, 2010 at 12:10 am
“for a total of 5.32ghz per machine”, WTF?!
August 24, 2010 at 3:50 pm
Yeah, but he’s talking about how the code is actualy written within programs, it’s called concurrent programming matey. Research ‘Threads and Processes’ for more info.
The code will create seperate ‘Processes’.
So say you had two new processes being created, these could be done by the two different cores, therefore it would be effectively 5.32GHz.
Ya digg?
December 3, 2010 at 7:04 pm
when it comes to video games, i enjoy playing those that have very nice graphics and story like Plantz and Zombies *.*
February 11, 2011 at 2:34 pm
I am not real wonderful with English but I line up this real leisurely to translate.
December 3, 2011 at 8:28 am
5.32 ghs is the total combined clock speed of the cpu cores so he is right about it shut up about it
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March 22, 2019 at 2:12 pm
It’s 2019 and I have to say clusterKnoppix is still amazing. I’ve been trying to make a Linux cluster for two and a half months and clusterKnoppix did it in seconds. Sure I made it in a VM which is pointless for a cluster but it shows how easy it is. Nodes are added as they are booting up. It’s sad this distro was discontinued. You can still get it as of March 2019 at https://sourceforge.net/projects/archiveos/