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computer build for matlab?

post #1 of 9
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hello, im trying to build a computer for the use of matlab. matlab is an algorithmic code processing software and signal modeling, its a bit hard to explain but thats that jist of whats matlab is used for. i wont be playing any games, or any other graphic intensive works on it, it will be strictly for work. so i believe my entire build should focus on processing, and ram. my budget is 700 dollars and no more, what kind of build should i be looking at to stay within this budget? its a work computer so nothing needs to be fancy, just efficient. thanks everyone
post #2 of 9
1075T($190)+ 880G board($80)+ 16GB RAM($250.00)+ Seasonic 550w($70)+ bleh case($20)+ DVD burner($15)

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post #3 of 9
Quote:
Originally Posted by soraxd;11744332 
hello, im trying to build a computer for the use of matlab. matlab is an algorithmic code processing software and signal modeling, its a bit hard to explain but thats that jist of whats matlab is used for. i wont be playing any games, or any other graphic intensive works on it, it will be strictly for work. so i believe my entire build should focus on processing, and ram. my budget is 700 dollars and no more, what kind of build should i be looking at to stay within this budget? its a work computer so nothing needs to be fancy, just efficient. thanks everyone

Well, MATLAB had a CUDA patch a while back and nVidia said that they will support MATLAB even more in the nearby future. My bet is on a system with a Phenom II X6 or wait for Sandy Bridge (X58 would be best but I doubt it'll fit in that specific budget). Also get an nVidia card like a GTX 460 768MB or GTS 450 for the time CUDA gets more support.

Honestly, I do all of my MATLAB and Pspice/Orcad work on an Intel SU7300 1.3GHz Processor and 4GB of DDR3 memory. I also have a G105M in the CULV notebook, but I didn't try to get the CUDA patch working.

At the university we have Gulftown Xeon X5680 12GB DDR3 machines with Quadro FX5800 GPUs and I only notice the difference (at this point of my study) when we have to simulate complex circuits and let the PC execute a lot of differential iterations.
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post #4 of 9
MATLAB isn't multithreaded by default: you have to program it's multi-threaded-ness. Unless you plan to write the multi-threading code for your work, you would be best to get a chip that will clock high vs. lots of cores. (Maybe an i3 or i5?)

How intensive stuff are you processing, and do you have a computer currently? I've used MATLAB for some college project work and it was more than snappy on my roommate's stock Q9450 and my E8400 (single threaded programs only).
Edited by spartacus - 12/22/10 at 4:31pm
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post #5 of 9
Quote:
Originally Posted by spartacus;11744477 
MATLAB isn't multithreaded by default: you have to program it's multi-threaded-ness. Unless you plan to write the multi-threading code for your work, you would be best to get a chip that will clock high vs. lots of cores. (Maybe an i3 or i5?)

How intensive stuff are you processing, and do you have a computer currently? I've used MATLAB for some college project work and it was more than snappy on my roommate's stock Q9450 and my E8400 (single threaded programs only).

MATLAB R2009b utilises multiple threads if I'm not mistaken. I don't know about R2007a though.
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post #6 of 9
Quote:
Originally Posted by TheBlademaster01;11744542 
MATLAB R2009 utilises multiple threads if I'm not mistaken. I don't know about R2007a though.

Heh, I forgot about newer revisions than what I used. biggrin.gif
What version are you using OP?

Either way, I guess it wouldn't hurt to have 5 extra cores for other things. tongue.gif Yeah, go with the X6. wheee.gif
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post #7 of 9
Quote:
Originally Posted by spartacus;11744578 
Heh, I forgot about newer revisions than what I used. biggrin.gif
What version are you using OP?

Either way, I guess it wouldn't hurt to have 5 extra cores for other things. tongue.gif Yeah, go with the X6. wheee.gif

When you're actually using MATLAB those things are definately not the first things you notice. Actually coding in MATLAB and to know what you're doing bring the real pain tongue.gif

I just plot a random function in R3 with two variables and moved the graph (pretty taxing for my system tongue.gif). It seems like it's multi threaded, but I'm not entirely sure.

MAtlab_pf.JPG
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post #8 of 9
Quote:
Originally Posted by TheBlademaster01;11744476 
Well, MATLAB had a CUDA patch a while back and nVidia said that they will support MATLAB even more in the nearby future.

I've been running my MATLAB code on the GPU for more than a year now. I do a lot of signal processing and need my code to run really fast (without a big expensive cluster and the outrageously expensive MATLAB Distributed Computing Server).

For my GPU work, I use Jacket by AccelerEyes. Those Jacket guys have really done a great job and have built an expansive library of CUDA-enabled functions. The GPU stuff that MathWorks started to put into their Parallel Computing Toolbox is a pathetic clone of Jacket. You'll be much better off sticking with Jacket than waiting on MathWorks to do something.
post #9 of 9
Quote:
Originally Posted by Tim Hinckley;11750526 
I've been running my MATLAB code on the GPU for more than a year now. I do a lot of signal processing and need my code to run really fast (without a big expensive cluster and the outrageously expensive MATLAB Distributed Computing Server).

For my GPU work, I use Jacket by AccelerEyes. Those Jacket guys have really done a great job and have built an expansive library of CUDA-enabled functions. The GPU stuff that MathWorks started to put into their Parallel Computing Toolbox is a pathetic clone of Jacket. You'll be much better off sticking with Jacket than waiting on MathWorks to do something.

Nice, I've never heard anything about Jacket. Right now I don't really need complex math so even my SU7300 handles everything fine. I'm going to check out the Jacket expansion for sure when I need more horsepower, thanks wink.gif
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