Parellel computing toolbox speedup

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Brent
Brent 2012-2-24
Hello, I've got some computationally intensive problems to solve so i downloaded the parallel computing toolbox but when testing, parfor loops take longer than for loops even in large loops (for loop takes 55secs while parfor takes 60secs). I would think these loops are big enough to overcome the overhead costs of palatalization. I'm running an iMac with an i7 quad core and 32 gb ram. I'm not using a cluster, i'm trying to utilize all of my cores. Is there some sort of configuration I need to change? Might it be intel's hyperthreading causing a problem? Any input would be appriciated
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Sarah Wait Zaranek
Sarah Wait Zaranek 2012-3-26
Did you make sure to open up a matlab pool?
Jan
Jan 2012-3-27
4 very good comments. Actually good enough to be votable answers.

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Daniel Shub
Daniel Shub 2012-3-27
Not all problems can be sped up with parallel processing on a single computer. MATLAB automatically utilizes all cores for a number of its standard functions. If your processing is not processor limited, or if MATLAB is already using all your processing power, the PCT will not help.

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